{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# SYDE 556/750: Simulating Neurobiological Systems\n", "\n", "\n", "## Lecture 10: Learning" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Learning\n", "\n", "- What do we mean by learning?\n", " - When we use an integrator to keep track of location, is that learning?\n", " - What about the learning used to complete a pattern in the Raven's Progressive Matrices task?\n", " - Neither of these require any connection weights to change in the model\n", " - But both allow future performance to be affected by past performance\n", " - I suggest the term 'adaptation' to capture all such future-affected-by-past phenomena\n", "\n", "- So, we'll stick with a simple definition of learning\n", " - Changing connection weights between groups of neurons" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "- Why might we want to change connection weights?\n", "- This is what traditional neural network approaches do\n", " - Change connection weights until it performs the desired task\n", " - Once it's doing the task, stop changing the weights\n", "- But we have a method for just solving for the optimal connection weights\n", " - So why bother learning?" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Why learning might be useful\n", "\n", "- We might not know the function at the beginning of the task\n", " - Example: a creature explores its environment and learns that eating red objects is bad, but eating green objects is good\n", " - what are the inputs and outputs here?\n", "- The desired function might change\n", " - Example: an ensemble whose input is a desired hand position, but the output is the muscle tension (or joint angles) needed to get there\n", " - why would this change?\n", "- The optimal weights we solve for might not be optimal\n", " - How could they not be optimal?\n", " - What assumptions are we making?" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### The simplest approach\n", "\n", "- What's the easiest way to deal with this, given what we know?\n", "- If we need new decoders\n", " - Let's solve for them while the model's running\n", " - Gather data to build up our $\\Gamma$ and $\\Upsilon$ matrices" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "\n", "- Example: eating red but not green objects\n", " - Decoder from state to $Q$ value (utility of action) for eating\n", " - State is some high-dimensional vector that includes the colour of what we're looking for\n", " - And probably some other things, like whether it's small enough to be eaten\n", " - Initially doesn't use colour to get output\n", " - But we might experience a few bad outcomes after red, and good after green\n", " - These become new $x$ samples, with corresponding $f(x)$ outputs\n", " - Gather a few, recompute decoder\n", " - Could even do this after every timestep\n", "- Example: converting hand position to muscle commands\n", " - Send random signals to muscles\n", " - Observe hand position\n", " - Use that to train decoders\n", "- Example: going from optimal to even more optimal\n", " - As the model runs, we gather $x$ values \n", " - Recompute decoder for those $x$ values\n", " " ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### What's wrong with this approach\n", "\n", "- Feels like cheating\n", "- Why?\n", "- Two kinds of problems:\n", " - Not biologically realistic\n", " - How are neurons supposed to do all this?\n", " - store data\n", " - solve decoders\n", " - timing\n", " - Computationally expensive\n", " - Even if we're not worried about realism" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Traditional neural networks\n", "\n", "- Traditionally, learning is the main method of constructing a model network\n", "- Usually incremental learning (gradient descent)\n", " - As you get examples, shift the connection weights slightly based on that example\n", " - Don't have to consider all the data when making an update\n", "- Example: Perceptron learning (1957)\n", " - $\\Delta w_j = \\alpha(y_d - y)x_i$\n", "\n", "\n", "\n", "- Traditional problems with perceptron\n", " - Can't do all possible functions\n", " - Effectively just linear functions of $x$ (with a threshold; i.e. a linear classifier)\n", " - Is that a problem?\n", " \n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Backprop and the NEF\n", "\n", "- How are nonlinear functions included?\n", " - Multiple layers\n", " \n", "\n", " \n", "- But now a new rule is needed\n", " - Standard answer: backprop\n", " - Same as perceptron for first (output) layer\n", " - Backprop adds: Estimate correct \"hidden layer\" input, and repeat\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "- What would this be in NEF terms?\n", "- Remember that we're already fine with linear decoding\n", " - Encoders (and $\\alpha$ and $J^{bias}$) are input layer of weights, decoders are output layer\n", " - Note that in the NEF, we combine many of these layers together\n", "- We can just use the standard perceptron rule for decoders\n", " - As long as there are lots of neurons, and we've initialized them well with the desired intercepts, maximum rates, and encoders we should be able to decode lots of functions\n", " - So, what might backprop add to that?\n", " - Think about encoders" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Biologically realistic perceptron learning\n", "\n", "- [(MacNeil & Eliasmith, 2011)](http://compneuro.uwaterloo.ca/publications/macneil2011.html) derive a simple, plausible learning rule starting with a delta rule\n", "- $E = 1/2 \\int (x-\\hat{x})^2 dx$\n", "- $\\delta E/\\delta d_i = (x-\\hat{x})a_i$ (as usual for finding decoders)\n", "- So, to move down the gradient:\n", " - $\\Delta d_i = -\\kappa (x - \\hat{x})a_i$ (NEF notation)\n", " - $\\Delta d_i = \\kappa (y_d - y)a_i$ (the standard perceptron/delta rule)\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "- How do we make it realistic?\n", "- Decoders don't exist in the brain\n", " - Need weights\n", "- The NEF tells us:\n", " - $\\omega_{ij} = d_i \\cdot e_j$\n", " - $\\Delta \\omega_{ij} = \\kappa (y_d - y)a_i \\cdot e_j$\n", " \n", " \n", "- define $(y_d - y)$ = $E$ (for error) and re-arrange\n", " - $\\Delta \\omega_{ij} = \\kappa a_i E \\cdot e_j $ \n", "\n", "\n", "- What's $ E \\cdot e_j$?\n", " - That's the current that this neuron would get if it had $E$ as an input\n", " - But we don't want this current to drive the neuron\n", " - Rather, we want it to change the weight\n", " - It's a *modulatory* input\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "- This is the \"Prescribed Error Sensitivity\" PES rule\n", " - Any model in the NEF could use this instead of computing decoders\n", " - Requires some other neural group computing the error $E$\n", " - Used in Spaun for Q-value learning (reinforcement task)\n", " - Can even be used to learn circular convolution\n", " - Only demonstrated up to 3 dimensions in [(Bekolay et al, 2013)](http://compneuro.uwaterloo.ca/publications/bekolay2013.html)\n", " - Why not more? Patience.\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "- Is this realistic?\n", " - Local information only\n", " - Need an error signal\n", " - Does it look like anything like this happens in the brain?\n", " - Yes\n", " - Retinal slip error is computed in oculomotor system\n", " - Dopamine seems to act as prediction error \n", " - Weight changes proportional to pre-synaptic activity and post-synaptic activity (Hebbian rule)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "\n", "
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\n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from nengo_gui.ipython import IPythonViz\n", "IPythonViz(model,'configs/pre_learn.py.cfg')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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kuDmkhLnpplYoA3vsbplzQ4C7YOfM0Qvu5ubInUc7rfsY1fmH7OxsuN17DQeU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\nZsygSqynnHJKnLX7jpI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GVyUAMhlj5/rbKklfwSkFX79KwycFd++pBDBceF8aXSYZYDDG\nkkFi+1+c82f8bo/EE+YDOJUxtg3kHnYUY+xxf5sk8YAdAHZwzpVZqqdAAlwycDgGwLec82rOeSeA\nZwDM87lNEm/ZzRgrBoDo/z0+t0eDFNy951MA4xhjoxhjKaCgjBd8bpPEZRhjDOTvuZ5zfoff7ZF4\nA+f8es55Kee8DHQvv805l1axAQbnfBeA7YyxCdFFRwNY52OTJO5TAWAuYywj2n8fDRkYO9B5AcD5\n0dfnA3jex7YYSPK7Afs7nPMuxtjPASwDRUE/xDlf63OzJO4zH8B5AFYzxr6MLruBc/6Kj22SSCQ9\n5xcA/hU1lGwFcKHP7ZG4COf8Y8bYUwBWgbJMfYF+XolQ4hzG2H8AHAEgzBjbAeAWAIsAPMkY+ymA\ncgBn+ddCI7LSpEQikUgkEolE4iHSpUQikUgkEolEIvEQKbglEolEIpFIJBIPkYJbIpFIJBKJRCLx\nECm4JRKJRCKRSCQSD5GCWyKRSCQSiUQi8RApuCUSiUQikUgkEg+RglsikUgkEolEIvEQKbglEolE\nIpFIJBIP+f/HSXugnHwrNAAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t=sim.trange()\n", "\n", "figure(figsize=(12, 8))\n", "subplot(2, 1, 1)\n", "plot(t, sim.data[inp_p].T[0], c='k', label='Input')\n", "plot(t, sim.data[pre_p].T[0], c='b', label='Pre')\n", "plot(t, sim.data[post_p].T[0], c='r', label='Post')\n", "ylabel(\"Dimension 1\")\n", "legend(loc='best')\n", "title('Random function computation')\n", " \n", "subplot(2, 1, 2)\n", "plot(t, sim.data[inp_p].T[1], c='k', label='Input')\n", "plot(t, sim.data[pre_p].T[1], c='b', label='Pre')\n", "plot(t, sim.data[post_p].T[1], c='r', label='Post')\n", "ylabel(\"Dimension 2\")\n", "legend(loc='best');" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "\n", "
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\n", " \n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from nengo_gui.ipython import IPythonViz\n", "IPythonViz(model,'configs/simple_learn.py.cfg')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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eH89vhcWLF7N16/2OZdWBAfdehzGmIyAvLw9I1JasBeD228PvW1FRwXffjQZOAbYt71Jd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wegkggaTUdCTQD3kZYGF1xQBkzXwXQHwRlMjxq1FRCkspcRrKW7BNIQocy0lPJdnH7BrUioGeTW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\nmDaR70RHR7PWfst1cmOwuwCdjVp05jzJcgq+F3EJ/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1u7VowaNcrwOPyVp/hmgdSermEM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\npimAdYB02WWX0kgeo0YZQXrffW1ZuR7p3Bufa4zy0P6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8E5VS7SvdKCFftNbLAdwIYCmA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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t=sim.trange()\n", "\n", "figure(figsize=(12, 8))\n", "subplot(3, 1, 1)\n", "plot(t, sim.data[inp_p].T[0], c='k', label='Input')\n", "plot(t, sim.data[pre_p].T[0], c='b', label='Pre')\n", "plot(t, sim.data[post_p].T[0], c='r', label='Post')\n", "ylabel(\"Dimension 1\")\n", "legend(loc='best')\n", "title('Learn a communication channel')\n", " \n", "subplot(3, 1, 2)\n", "plot(t, sim.data[inp_p].T[1], c='k', label='Input')\n", "plot(t, sim.data[pre_p].T[1], c='b', label='Pre')\n", "plot(t, sim.data[post_p].T[1], c='r', label='Post')\n", "ylabel(\"Dimension 2\")\n", "legend(loc='best');\n", "\n", "subplot(3, 1, 3)\n", "plot(sim.trange(), sim.data[error_p], c='b')\n", "ylim(-1, 1)\n", "legend((\"Error[0]\", \"Error[1]\"), loc='best');\n", "title('Error')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ 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\n", " \n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from nengo_gui.ipython import IPythonViz\n", "IPythonViz(model,'configs/control_learn.py.cfg')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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VG0MM1lggoPScPt9+pJDYoKnXXrOPmI9GdXU152ANKPjsscj6VCM7dtjLDv7S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\nv35d6iwwj9Le2k5+77UyWam1h/8DwWAQrcJwF4d8sVVRsV3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HpqJKd4KR9NOz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\nSZYtW4aUkiOOOIJjj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Hd38+WXXybbDI1GkwSS6nBLKT8FmsLscjbwL6lYChQLIUYPjnUD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\n4PWgfcyB5QkT/gFAcXHQbgOOOcJ9wAGp0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ql8pLOzk0ypHKjMgmzKx8Yu3efxtJJDB2Qr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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t=sim.trange()\n", "\n", "figure(figsize=(12, 8))\n", "subplot(3, 1, 1)\n", "plot(t, sim.data[inp_p].T[0], c='k', label='Input')\n", "plot(t, sim.data[pre_p].T[0], c='b', label='Pre')\n", "plot(t, sim.data[post_p].T[0], c='r', label='Post')\n", "ylabel(\"Dimension 1\")\n", "legend(loc='best')\n", "title('Learn a communication channel')\n", " \n", "subplot(3, 1, 2)\n", "plot(t, sim.data[inp_p].T[1], c='k', label='Input')\n", "plot(t, sim.data[pre_p].T[1], c='b', label='Pre')\n", "plot(t, sim.data[post_p].T[1], c='r', label='Post')\n", "ylabel(\"Dimension 2\")\n", "legend(loc='best');\n", "\n", "subplot(3, 1, 3)\n", "plot(sim.trange(), sim.data[error_p], c='b')\n", "ylim(-1, 1)\n", "legend((\"Error[0]\", \"Error[1]\"), loc='best');\n", "title('Error')" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ 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\n", " \n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from nengo_gui.ipython import IPythonViz\n", "IPythonViz(model,'configs/square_learn.py.cfg')" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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nVl6/vth9pYKwmdRtuI3vkCFH0Nc3QeWDs2q+SRAiRKKiW1A8Hs9ruNNGJECt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GXkErSbdjF5T4NgIt1yBRXldaKhlCqXs/AK8xk61D8z6TdOp+G09fw79k3eI7/HWwfbFquhkEE3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so+cFTzyBruscxTsMzqhjsKZp+P3SdTrfVndRwIN+wuvXEwpJF4SRbXqmUwTXlkq6\ndvnzmJbE8ybuTyNr89dtdbVUr7JhA2zdyjXXWPKT+J1/VIvIDeguvuFmU1sTFRXWcabTpuvXfyfh\nnoCQkVwL3Gz83VTwGaVhFSi2Cj3JV9M599E0LYAQFe6M6Pp/FCFpUGo0dFXrqaO6Ospf5ChgV8Ic\nwLZt4sSPRqFPH3cN9fZgFYXJNohU9cvsl7/f9wn3ok0xkfscBVS3mzZJBdKYAFu2SEWTn6sRaq8I\n2YceCiil+6ELhg0b4B2BlBxKNrlo2nr2tAq8zHk/GpVCLJ2d1qRy661wiIcO1YblK70v2TFjgnkb\nuiclddbYsSLwUVPcHEFBMBjgCY5gjt/QX772Wv6xAQNUizc74X6AExw1Ohnbd7ncKJa87jr1d7RH\nN3oPKyMWC5Akgi+dYrUhK6qvF5/1mU0uHrom7JEzux2VrYousElETza2qCQhJ0mUKirUBYFLcCqP\n/fazNWWSZGJlZT5GjZIi7HI024SR3gagsTFPuJ+tPTbvdd0V+P1+NmlG9iedJplMEiCLFlR/G3Gd\nSt63xuevML8/Fz3o1VzOQpoIhWDDhuHWA7ai23zG6Wc/o1XKSK5wcdkBqKmpdt1uIhaL8gb7OLZ3\nXvwr2xbNcW6NHm0R/nTaLG6OMNlYaDnGo0JEUMrW3bT5+wWP2cQS+rONSgIBoRxavRqGlV4vCUCZ\nrYhXbjyyV8zpEOHzqU3KChU7g1WIe/Pv92Aqr9DfiLzai8DrEx2Ew2G2mtZ1BvFv7COIUTcKpP7L\nVZmW3S7WrgVuXyfOQ/8yEbBq6ZgAQPNm8Z41bHYQ7kI46CBbZlx6v8rKMMOHb2YI8ziCpyiKQw5R\npF9uEf76+uK641/EjzcPzrXrs4lsVoqk2M0GXJ53AxehoVNXB7oufe+GGcB3EI3eTkY4+Gy88jbX\nnhyD33+Z0XzObghZqEK46+uhqorX35DGgVDIdT7VbL/tSnqy337qPn36WDJamXA/51W/8Q1FKS4l\nU1z+utDz1xMfAk2apvXTNC0EHA/YxEM8jfD/BjgaeE0vSYX/zUYoFOImfqZsq2cD1dUxzuIuJjCD\nmiINSvr2dbppzJ4tLrxMBtLpbjzLd3bK8d7iVTwoIRaL8VwJ72dKSnZFdfpoMy3lpEplUImjA9ep\nmkWzitoO+wRye3+xXqypKXfbHYDFuxyVb1phFmko+JV9MldRUWGdpibh1jSJqH3ySdEojhv2cHe2\nAoQMspMwg/mKE3iwmHyvKCIR6M9ihmdnK9s/ZghlZao8RvyuVvTlSY7gIptkV7cNN2mjCv/CC0UU\nbryxLgqH1Yn8o89DxOMhUoTJtqeYF+zBp4zJL2DsribizcR3q9us+HjxxYL641MWCzuJ3TeKBetC\n45xKSdGUxkZrIv8bpxbsCNjUVM4BuHdUnTMHQiHpHNzkEkuwRaxaDAnGio3V3IqzsHj06FmObXbs\nbxQfceutBuHO0N6pkjZHxsIoRMg7yoxw0WJK2LhRcn2w6Z7zRVeaRvMWiyDYnRtMKBO5B+5wkX6F\nXn+p6PNkX3LztFAiZ/ZzxdDuLmAgV3Al9yIRa4ncnPqjrgVLdgSxmO38lzKosZgzIh8IqIvlhrPU\nhVvWFrgwC3FHjRrOa0xlCf2N11bJ03XZi4lEIrzGVOaHh5LrEN+HLxbB59vG2gL98nQ7ObZJQzfb\nro0+i0VA4/CVIgpsLuZThrZ7evQgpbkZFG5i2dTUn9OQPFNfss6dZ56JUV5e5PeUI8nTpysE1a0W\n6MADlxTU+QNsDBvnpq57NqMxke8gbI/62q04QWnGlc1K488VIkN8iuH6bEqNNF13NSGwo5TrFOBz\ntwJaCY9xlGObrFxIpcT5GYlEmMtQWl3ccr6pKMWlpEHTtHs1TXvBuD9M07QfFHteMRia7B8DLwJz\ngYd1XZ+jadqvNU0zy/TvBWo0TVsIXABe1TH/edw4+r7iOxkQxVjOsFh5ufCo/oAJbHZK1RX06+cc\nPbJZcYH06AHRaJYL+F3+sUXfu5JsoDTfyg7binziUT2IRFpZXWDAjMfj3I6zqv83toYCbtIDgBBG\n5MzWDfNCI5lidlcPBr1bYH/u2YpanUAOfFhILQYP9k5JLZ98sudjMly1o0BlpTUZ9TPcB2Mxifi/\n8QbceWfB135n9DmObaVEqeczmCTRLmu27SgvTzMaI/oskYlrOItQSB06BElp4kHDicJP1lFp7oVA\nQPBjs9vdunWqPnyPPYQtWZIIrZuypNu6kSKMrkMo9BSBKpdzwphdNfsse+yxYlL6Z+FWAlsPFo1D\nLjd0q+3GZHLTwOtJJBIMQSwMz6Swa8WAAT152eW6ACGHLi+XSMtPbQvbOXOwo/EOQTB+xJ/z7gcy\nwuHigvIGzSC5M2eycUMnQTIsX6Pqf4LBIMgLzXcNNwjzfPdYtJjn+tCh0rHb/M/NBVLm9jsZf1Lx\n66zQRP5hVMju9t57C5Pc/H6L2K7KchUzyaQQbo+UfIQkv+YKzkAqNpdMvoeN/felu8vLvcd1NxlF\nZ+cU5X5DozqG+W2nUN6eDrVOfc2avZT9pkzOEg6HSRMkm9JZvVTojWfOClNf/xQ+n7ePuibVhwCK\nYwXAFsmVBiDQpl7zeTehVrF9TtBJ6gr1iBk2bAh/5zRrg9QVNR73kUhICwK3wlmb1EiWftmbLc31\nD6dHjwALGUhBhMSPl02mCzbIq6z8u9VW3a4hdynqlN+3Rw/v1zUXMTVXnafUWlRVuQcD4yUM+Hfd\ntZ7fcUHBfeyBGYD6equuaaTx00YiEXL4KKNtu4JX/wmUEgP7G4IUm7qC+VBkaVYidF1/Xtf1Qbqu\nD9B1/TfGtst1XX/auJ3Udf0YXdcH6rq+m67rO2xH+HXhnT4nscsYHTz8p2UEg0FHpymAysrSU2DT\nplknmD1LXlkJ48a9rxQ3/OqfgxiaUSOVq3/j3gXlIVur2IV1E0kmy/JtowcZrZZlBINBci6+vYFu\n6mQpIqF/dOy3zvTStU1wpj+qORnutdfdPIXTh20eg/KNGIqhrFpMIA0N3p30AkeK93jqKZjNSO7i\nTC7gZsd+dpmEiUMOsQZlky/06ZPJV3STTLpGyYVvt8AjnzU5Hu8KuuK57YY99pCkHtJJ9ikjHITb\nLOS9jKt5m72KZjuamM+ll5Z2HNXVEA6HSREmQpIDeJkmFhAIQDCYo7nZZRXiFi2WccopBR/We4lI\nbiAqpAVZYwL9eGFvIpEI8xiChp7XM3ph4kSh5T/RpVioZ08YOFAiDpttuk6XKPJASS5gj+y/EjoY\nTYvyNnvZn6agzW+QwZYWOjeK72lX1OJRTdMIhR6wWiwbEba897JxPuSWL1eeZ7qkTZokFVrZ0tpm\nZiOwdCGR9uKa9EJ1OclKoSt+/PFq3mGSM9pVoPMjwG67WRG+MYbcWSHcHmHRg3nBufFpK0HbFTXg\n90tTn3hi4EB3b/BrOaakgl5zkWSiM6we/Iao0+4NoLZ2MxskOV02pxEOi2YzATLoHWGy+NjWFiAS\nyZLLdaFRyZlnKnfLbNnMkK2WobGniMiktwhiuKFZnXdeYSq93BVLAHTrZivA/qXVer26GlWeYu/E\nmM06xhuZcEejKkENZpPU1UWVHglu0IwxNt3m3UgOoKLiE6owrGrtUq+RzoWHjpav9Rw2zBmsWGNY\nJK6TpEpbpUzU7rs7539QzRy8cOaZ9U570BLQrZvFZY4yAuCRSISfcou487RdHPHNRCmEu1bX9Ycx\nFpFGZLpAcuZ/E36/UTPTs6fD+UBGbuhwfD4fWZzdDauqSifcp59uDRB9bJ79Ph/E4zHFiulZDmUB\ng8gmrNX2sEudGtBXzn+aywJq1OmzLWLAXUcjGjoLXFw5NE3D53cO/AOvUD1fBeF2powewGhFfO65\nynY7oSkvz7q24b2U37DU3sgGOG68c43mN1KwvXr14m5p0DuR+9lALRdxA3tOEpfGtGlw7LEa6T/e\nxV2c5Xgt2Q9ZxqRJezu2RaMR3sbQoPv9rn7esuOJW5q8K+iSXZ0LKiqkCVIaTJfRx9NTfBEDmczb\ntFDuiChNmLCQvixhFJ/ltb7u76suWnVdEO4kkbzFVg2bCQSgre27ZLMh4rGNaqGpZCspjstWhVME\n61oFccv4jCiTMYH2b0qWNLGY2GUXMfG/bzYTkRAK4fD07gri3V5T7t/WeTZ9+nQylVfZhU+YOMx9\n0ZEyNLZ6KkV8lojkfQenflzTxnEnagFdflFrRI47nnhCedzkJfF4gGNl94QixBdgxAg1IPDhn4Q2\ntFBx1O7nC+1udbVYv/7q3Gb2R5KS3FG4Pfs4yf+50RhSS4lwy9fpYzb/ecDh910IXS1mtsMrsriU\nxpII93hbicsll6qBky873K+dbt22UidJHzdtCxAOh2lkLU0s5BL9t/jJEQ7D2rWHur6GGZl8lwJa\nOaDxfnXBOvVLsRC++0BRhJwNisEkYxDDgO37P8fFulVGoWt69WpbC3X7vi0tioxHbLIkJWPHqo2s\n2ohTVZWgs5B/NhDyice1224tKCnx+RqtgJUN2Q8/cWzrJJRvxhuNRvmnzVawG4ZLieRgEnnOWmCO\nGbNjvtd3/MXlei4imZEj3AcYCcNwOEwQg3PYpKjfVJRCuNs0TasBMZtpmrY7uDiw/49jxQqpGL+A\nib/2LxGhSvpUtvHAaU9TXV064a6ULCDWrnUzmBep0pO4jy//OD1Pvn/YIlJO4/mAbdhsJIBNE6ex\nMrNfvgnDKfydcNTHAQcUsMMyEAw5CXekzi3C7ZSmNJuFNvbUInCyxP+jUfdU3OyQWMkfw8P5bT/k\nDjZX9KO2dhUn8EB+e1YXp31ZWRnnYr3fg5xIPRu4iYvyY6qmCdeAc86BNo8Iek+XHkNjxjjT4JFI\nhCfNIo+b3OuO5UVSmi5EhFxQqCq/FCj2dwrxiBCLFe+aaY/y7bPPFpbRN++j6jXHhdzOo0iEbixm\noNS8R54D29tFlNuMztgZz09MZ44SsTVtdD00dPw5owiqtqFrqUtzIrcvBhcwkEAAystLv+btWLNG\nXcy+rB3I0UdvIU2IWezCjC/dpRh/S4uUbiarkW7zjpylUscqcgKQLOQMwh2yncfm1x6Ph9gqjy9H\nWYvscNidfE+YoEbLP/nY+q4/ZFfX5wQvtLohXn01/P5WH++HpAi/vWWd/fkSIw3kZbARMqbkz6Oz\npFwXsslF/ue1mHR7vJSeL4UQj8fzUi4ZaaIOP2M3DLcpk8aNK221kEio9MEfFLaAU1EXgn36QDLp\nkaUwMiV78h4AW1zmpELQFovxIBsQv0d2swhilNeJmGCANMOYk+8iuj3w+20R7ocfVncYOtTRHTYp\nSWAWLFArAJ/jOwwfLr7j7/EPJhqf3Y7m5SK7FH7n1YIR7paWPS2HLmOyNLuv+lcsBSCjSKu0vPNh\nNBrlFLnHhsQjeve2srT+RVbgauzYrvc+yBxnFeaefjrwhz+oOxjKALfstR1mJiogT3Db0bH7P4FS\npuQLEMWLAzRNexeoAzcPpv9t2IPag+pfILq+G31YRjfWsDA2nz06Krh6lCCGc/x9FTe0Jf33J1Rs\nlC4AkcKyGEhZmVhFPsBJVM21Cizv4Qzu7jyNj0LuoQ+zw+4qetKt8U+sXXsKCy6FTz5plutIXBEM\nZrBb10YSavRFXCQrWE4veks27EphoynmNSDLbaPRgKu+fX7nYJqa7iS5QCifXg9N5M7OH/K9bhAI\nfMmj04/mQU7kY8bSJBHBFBFq2IhfStp4FSZOmLAMbI3FDmR63ppYRjgsSLpskhGJRNBMArOD9m5e\nmDQJpE7fO4Tycum3Uwh33DHZloLDDsvIPZq8bOaJRJwJtHA4zO6STdsb7M0+LkqSc7mNRzkGeqtp\ncNfuaFJB4gAWskhayE3Z34hs+8X/WuMCb0zZfG63EydzH28NhVWrtp9w23HfoxHGjbO3MnBiruHD\nHFy5lM72Qqnqh5mwTT3hn2EaU3gjT5Q6IxGCwNNMY6FUx11WFpZsH1EcbqZO/QcuAXVGjFB/9/Iy\n65zbjIeO28Ui5uZbF2E6D5aCa69VeXUkEuEsruIv/ErIYUwfYsWf2SIdbrKyYovdu++GU08tvE+p\niMfjLHD5fpbTm3jcuUD0+TIFnVlHj65kEf0ZgCBZXhbZSv0BsLL7boTDznHtyCPh8ssXs369S6R8\n9WpF0/ID7uVxMwN6ySXixymAXa4URfU5Yz7TDIvbGOK8zhIo2JBLxpgxnzNj1gR2tw3yp58uCPfz\nHMwhvOAMCq21+VYDre9aBLWjQy3O330C9O0rgk738T3P40kn9Hxo0+xSOatxksOEtmfP98hsNEj9\nfaKW7O+cysVY7kDN77+fP0OusNxzjQCYdPJLzl8HHDAbU2lW/6kVKe/VSyyK0lVVrLzySrYOHEHE\njDC/4CK1AuF3KUeh99+f9GezCa42xtPFi+GFFxgEvMBc14D1Bx8IXm1yFOX9Kir+LVHuSCRCz549\nlYV6V1CUcOu6/ommaXsDgxGjzDxd1709ar4FAAvWHwTA54YGMtD5Ka/pu2C2TPH51BHvwYfCXOre\nb8AT3brNZ80akdoUVcQW4R44UAw4Y8ak+PhjWeStKR0ANlCbTwsewnPsYtVGsHatkDQ0NMD48VYK\n1baYz6O5+WSwDSDhqPPEjER+z13Js7gG6wMrhLtARbS9y5+M6uokbzGZ1ICh/Nk/FubDBRfASy+t\nYvr0YF5yoNtewk7g3/WwZD3yyA0cOHM6L3JQftsWqrjTxaobRN8jGULfWPxCvekmy264lbgoCikR\nL7xgpfV3FEqqWsmg1ABdXzDYNfNe9meNjZt5aMWxHGdkKyIRSKetUF0GH1/5B7kYwUkRWFthwwzZ\n4s7En/6Uv2m3pIsYhWh6QBC6HsYicMhGdTFYCn74w/v5859V67U1dCMcpkvWZTJWa92RFTS3838M\nLofeva3P4SUpGjz4QcwyjGHveK+ia2vfYto29WJfgFFXYESU4gbLThNUtMDxeMiz4UlNjZMkv3Hu\nYwwbpu4/8nsWtXiAEzmQ4q4jAHvv7f6+P/foli7JdQExqe6O0VX1n/9UGYqEsWMFF3crXi2GU07Z\neYS7rKyMczDOZcnX/DXOoWmbM/2fywV4mf2UWaSHAAAgAElEQVTYn1dcX6+mpoY9mZ6XDh7h4T7Z\nq5c6h9XW+xQfbhOhEPj9YvH1V07jdP5mPXjffYo152tIBmjXXQfHHONoRCMjYViD5oxgVfdXhW3f\ncWvvgfxsWxouuWQBpx77d+aZjlkGDj8c2trKBNkuEVP/YhUv2t1SViaGqtFZD9TsuxQMxVZqq5gT\nv+qxl4Nw19evIocqTzTrrUxsbW/PE+7zraSQQbilxZq0eKipscb/Hous4ERtrQherLzyShK77UZj\npIKo0Wxidls/RuKSDR8+3LEK1XUdrdO54G/XhuZ7VxSD3tYmlr7dugm3iK8Ruq6zadMmVq5cST97\n4UOJKMWlxA8cAkwFDgDO1TStcJnp/yB6u9eVSFAjY36/GnmYM6fraZpDD7VWdFttGsmGBjHwTZiw\njRkzLGZzySUqeTtNGvxe4BBX7WE0CpWVVoSw1iVYCBAOL3dsc1sIBoOawwBf0bP90Ds8lUx6Oxas\nX78XzVRw2ZFf8m6bCMtEIlBf37U0pRdqa8t5iQOVbQsZWGg+UBCJRHiqkM2hAXkilpv2vO5KMVXE\n40LaNHNm0V1LeC1bhLu2ltl1Yrh/4IGuE8XGRrUwyWvO2Xvvr/JdKAF69RLf3XuGFCVAjnTWPVce\nNDX1M2Yo5MO12YdkGWiX75jJppwtguorZLrtgQMPFCu8gKT3X23UoCcSCVpshX4Hu4V/bTivSkSy\nRjCb15jCj/kjdXWqFtXUadoRiFvDvj/prZ2MRDSHfMtcGGfb1RTubEYqNpRlZWHeZU/sWEc92axz\nYuyYcgi1tbWqdEQib6unWmn5CB0czpNwtqovN9HY6JQv7MInxZw8rdePRBhquNC4eqMbMIt+t7fW\nYtkyeMWd83YJynW6dSscaI1RCxY4rTnGj38vX9R8OU7Jjd/vZ7FU8+BlPjF6tHoOnHiicOB60Pa7\nh0Kg6+KC+gXXq7IBm9uIo0mMrabHrvUOmK3JDXces+bi8+rCmnA3DB8+1CE9aSZBWZm4TjeXWJQP\nUNFi1U/suusS3jRdRIBVex3n9hQH4nFrrEluMwIcYediMhYLOAqo22xjSrM0FsoNyRydnw+zfpvq\navfgVo1hlZUcOJCaQABNuvC791Mp5Ufsij5uV9fB3k03v5Q+DHB393VF/nNux7jcVWiaRk1NTUF5\nTzGUkhd+BjgNEdZKSH/fQsLJJxf+zXO5JNXVUlc12zd/7710GRMnWpZWW7aohNu0Mdq0SY1CXHut\neiE+z3fYhU9oMAol3Ah3IKBepKM83Pd69XrCsc2NcGcyh/FkoaYdi610nN2gwE128wAnoGk6K1YI\nuc6NN8KqVaL03++Hmpoqx3NMPPmkOuA//rj3Ye27r/PL2eKV6nZBJBIpqc2xvKCRGwVMH1KaG+fw\n4d5kqytQJvIvv4SNGxm5Qfg8h8Ndt2GyF3dVVLjv16dPljv4EUfyGJqR+w6Hw9wnZRa8vsd8ZOcn\nP3G4fkTseqcCA6d5feZsE0Uy23XZ14gRIlxj/pavMDV/W6Sq91f2f9G2qHPDrKop1NVtYA4jDM2s\nxiBbLbOtjiuPj5YJX+AFvfalPSC+x019navGbLYvv7cZUpnf++qlagbB7koTj0dxW+Qcx0MEg84F\n8Oy5AWpqavLNNkDtNvfP+xq4B3H+dxKieZ/D1bbaEioqyjnM1qCklbKSCxmDwSDdMIIHBVaupgGE\nm41ZKejdG6YWaFxYKhwL47IyNnf3jgDV16e5jXOZxtNcjXtaNYef67mYP3AeRzprQgEoL1dpQH29\nICUfaSpjCoVg4kRhE7meBo7gqbxWu3Or2lgoZ7fLffddxeXmOLkQFwjFxQSTCwnC2VwtpBp/C4sC\n9549Sx+nBg501gYdx0P4/eI7PoNfujyrMI7iUXr27OQHkn3ktKPUMeRAj8t9/VbreDq2ie/JF3EG\nGuLxYGHC3dxM7V/+kr8r81wH4ZYygw0NTsL9YPnZVFRU8AHjwedDA/xl1mvU1FifbR31jvcrhhy+\nLvWPWKkZ8286Lbq7FeisuTPQlYJ5N5Ty0Xrqun6krutX6Lp+lfm3Q+/6X4hgULgDef3eudw0Nm+2\nUuqBADziE0VPm6nCFvzjZ2pfHFdMndo3f/urr1TyYKaqH33U9sIumMUurDeKLGIxqKhw+mzK55mX\n5VUk4jwZ3aKY6XRTyZPUpEnqfTfC/QUjOPvsZUyc+KnjsVwOevf2JtyHH66SwO9+12NHoKHBI7Rf\nIoSG+8Ptfn74mCnFd9qJUOQOX34JwBcNgjw+5dJwbcIEp/PO9qCqKkIOP09wJCZpE/6+1gRkTjA1\nNap+skySutgLiVNEVCeTGTMAuLmAL6xuO4HnL1GJvr3gzA1y+vHckxdwiBTBLisr415bhLSUayMW\ng4MOUptH2Scqs5rfjnQ6zjwGsclXR4dmNAypdan8pZ5+LFG2mJmpzhY1umkvHIzF3BdEwcm1jBrV\nwTyb01Eq7aO2tlaJMMrjTGNjgB/yZyrYio6PV191/2wgJkW3RUupRcSaphGjueh+/frBj3/sJHSP\nDN5B25EuQrlO02l47DGqV4sFw9VXO51q9tprIzn8PMs0vNq8Dxgwk19yPT/hD641Kub7zjclRlhz\nxFBdPTf8fujbVw1smES/pXcJF5BU77IeVZYWjBvzgeEs4zdsJhcsE6v5QYNKJ0huc0sLCXw+UXs0\nHlWecxWXF33NV9iP7353PYsYyHH8i4N5Pu8guKuRzHHpbA6ApokL4GPGkmw2vr+wc9UYjYa8i5sB\nevemp1HY02yLlToIt4T6eifhnuHbA03T+C5WcC3Q051jrKBX0fHxC5scK0CmaMGxsr/PONfWrRNy\nGCWr+c1DKaznBU3TPIbub2HCdCFbtw6PNqzqBOT361zk/w2f1DXRn8X5SPAZhkudh4mFgp6SPcZZ\nZ6mV0IW0oYVSIhMmQHm5uz53zRpYssT1IcCdcLu5gdn164Uqk+225mPHbnbsk8VPJBJkt92cxSvJ\nJNTWltbTfPr0wo8XGpxKQSQSIYwt8iRZsMietm++6Xz+rFmlR9N3BpTIWTYLNTV81CIsFebNc/7W\nBx64tOhrXnttcSJTUeFMoIXDYcZJ3UlNwt3UpL7nUol1Jj1qATLHnqjcH8XnrvuBk3DPMhSUf/2r\n0Eh/7v3UPPxS6uuP9w1U5CtlZWVMlIpB3XA1Ti3E/vtDo61hifnR29vF3OMVjOnTZwmDmc/Ija/x\nRFT0A3hqhNMUPRTy8bhkeTePQfkId+NjaoHCEpvtYizmfq3ktCjDhwcYb1t45nQt3xTrTO5iqou+\nOEuAZio45xzn4sIOu+Wa7kEsveDV9VJGIAC//7143Yc4Nr/9rXlDvJ7ytSAWi7HNdHmypVmffdZJ\nmoYPLy6NePDB4kQ4kUgwCWeF9hlSFNqMcvbrp86JS6vFxFB1g9rLbuJEdREJ5FuOA46GcZakRPz3\nd4hIsCl9uvJKEWG3Na4siKxEi+TaInvhdSnywGYq8na/D3Mc0zk4n8B9/30xv3nJUXv3FgR/HJ+w\nfoU4ppmfOrNDsVjE0U35ZSNr1hasUGqiNqCmjM05rR3n9VpVVZV3OzFhBjFWY8nCNBtD3qKJAFco\nVNwe056pTJborGNi9J42sfdOaICzdOlSHnjggeI7bgdKIdwzgCc0TevQNK1Z07QWTdOKz5r/YzCb\nqc2c6dRTu8HvFyftL3c5lW1U5qMvd99d+jljL8aQUYhwr1mzzvOxUaNg8OBVro81NuIZ7QCIRn1K\nZ8m+LHEd6Do7xcV6T0y0pnbztwY4nb84MgaNjc7P/DhH8tprNVRVOSfJgQNVD083LF4sXIq8Unt2\n7M0bpe1oQyQSYSs20/SDD87ffEnqSNhf5S8APPPMjhH+riIejzPXLCCqqoJ0mi3tYtJx6yszebJl\n93i8R2+Diy4SBOCRR7zfN+HSEi4SiSjNRsxIdkODmpL+KmqcMIMGEZ1oeV///OdWGOmyh9WGMkvp\nS48eX7kfjM3Np22K8BM+7TRBaruS/nRDPB7PT44y/i61X37DRbt/2GEwdKhKYsxFezRa2IN9992F\nLCjetoHICiGz+Wye89zy+6NK5CxNMH8/vsK9+YUJQbidnQVfe3MANTVVtGARwcN5khNP0vLp2ns4\nk9dwai22bhUuf3ZHsVJgT7kXw+9cvP7dYPLbfB8BoMOFvHyd8Pv9lr2pbZW1dKkzrD9yZHGLvPHj\ny+jRA66/3nufRCLh2fjLhPm91NWppKw6JoIjvm3qXHnuucucLyJVn+81Wc1i+gztdiASJIOfgFmT\nYEyokyaJ+l6vuiM7EomtVhMZYCVWUOtxm9/6p3jYt0g44QQoL1cXPaZMOhBwt5Q1MXy4FVGv+kBk\nGMNrnS5J0WiU5bZAzhOIVG08rQYdbkZNnQvC/Ql/9Z2ubD+eB6mqquI2VA39LldaUtBVdOczl+7O\nlWMHsLr7rgwfXsoiV93HHoEvhq4upEvBf5pw3wxMBGK6rpfrup7QdbvPw7cw0damEu6BA93F2X4/\n6LqPZcuEEHBnZ0IEadlC9+5OecgXXzgbrsjHteee22d9Fo36uQHLCmAZfV0Lh7t1E9Gr3zbewvGN\nd/K8R1fCxzjKMSCJAWI1dw2z+pYvpInTT0+6Ng6Kxylq4dOvH5x3XsFdFLxXpEmDF8LhsEI0ADEi\nz5/PWhqUNuHy525iPrvZ/Qj/DYjH4/zUtJY6/nhobqY7wpvVrRfJrrtaBW9e45XZxv3oAsaiboQ7\nEAhQLk2EpuVVU5Oa5l0UMvSjtg5ro0dbkZ1FqBrTxziK3XabxRL6Ot7XHuE+4Ujv9tSFEIu5Z438\nfj9bcEqefoTVsMW08ZMRCkHPntvXPjwUshaml5i+/FULHfsNGDBPIVQjmKOmrj2KFuH/sXfe4VFV\n6R//npnJJJk0QgiBBELo1RAg0lFEkaKCyiIggoisZRUVxbq23d9iQxGxLOvuqmBBbCgqrmVBVFyB\nUEQEqVJCJ0AISUg9vz/O3Ln9Ts9Mwvt5nnnmlnPvPTP3nnve8563SO1U/8yOGXMQqani907CQtyE\nf2ApRsPAfFZHSgrw6KOB+UcVwiLNoAE7FKYSvrBUMUun1TbWBVcxdz/znDobrpGGMTs7G40afQsA\nOG2hOissBO6/33x/UlKSTuOsZYY7/n1amloZUhUnz55VK7IjdurUGs/gXvVJFHFO+/ZVK4tSUoUI\n43TacRZxaFokpkSn3mydSMWMIUN+RwmSYUMNmuKISpPrbXBhRGysXuC2SjGvLicPEicViMQ9A2L0\nbapxY+j6lVoT0U6rURZJnn7BM4nq/5y1TEBKSgr+o/CbAYDzL5Edb6oRY5grgjEgM7NO/Bg9fLtu\nHQbffDP+MHkyOnXqhIkTJ3q08Tk5Obj//vvRu3dv9O7dGzvdkZWmTJmCDz74wHMOSUn5wAMP4Pvv\nv0deXh6ef/75kNbTlydoB4DNXJ9ZhTDgxAmgqEgWuJs0KfbEp83JOQkpIY3DAdTW2rB9u9BwbtgA\njPPNeVnF+ecXYO1afVII8fAcxcGD+vA1S5ea33bGgLS0wDryY8c64zRS8F63v2L9wd3ACeMYrl27\nLsGhQ5fg4Udt+PvfbcBhoFWr1wGNcqMCsTpbdjHtfBbrE/uotrdo4URSkvd6/2icY8AvpJfZFgNB\nyArDGQnGgPbtPdm9OhnMRu90d/6PP+7X5YImISEBg/Caats4vIfxWIxrr9WXT0lJQW0tD9qxRNtB\nAcKu9qxB556To47dfPTkZAC3AR9+qNrer58cTOsbqM2vvsRwXBPzNT7BaNwFtfqUaTTcjtjAepFH\nHlmJBx80HlhqtVOAMGm4eEgxli/X/xeb0RUxMcI5MBAqK/XT0kNH62eHsrNP6DRIud0/BaTgLgrj\nU+0ASmqnU5u9hdcOy2ZTWVnck7RLGYNYemQuuwz4/PPgsy8Gi9Gsg8SbUGfinTChBIsWyVJUhd0k\nrEcYaWYrFPmfNTZ/Tz+tb4s2mw0nTlzolzObEYmJiSiGAzfgNWxHB0jRVHfYM9C+Ri0YawfRK09f\nC2AuNrcdhW4Xyb4pnTt3Rk88g4fwhBxCVeH8nJsrnv9u+NX9W8R2p9OuCp/qdPk3oyExc2YlPvlE\n+FEc09iL+yJwb0d7dMAOz3pMjP595quNcnJyPN7BBFyLRZ5tXfrpPc0TE/Wjqu55nwEb9edcC3Va\nUZvNBru9Cser1WaXqamVsNls+E0RIvFp3IcR7glEKciD9Azddddd2LjR4IJeKCurhatGvm8lSPIM\nSPLy8jB3ru8JyzZs24Zf338fmcOGYcCAAVi1ahUGDhRJsJKTk7FmzRosXLgQd911Fz777DPT8zz1\n1FN49tlnLcsEii8a7kMAvmWMPcgYu1v6hLwm9ZwH3KZos2cDhYXyA+RwyI12zx5Zk2W3M3Bug90u\nNGaNAzTP7dVLPQ56913xLTRMxrEily611vakpQU2JVpeLn7EY9UP4614ERrKSLnscokXV20tUFZW\n465vJXLxs6pcFWJ09lzid7XBF2vU06IffRSHNm3MzWhWrhQpjIPN6gYIT/qR+BwXYQUuM5ahTHE4\n1GHGfv9d5YSP2XL4Vtx0k9r5yBdH2lDicDhgN8mQoY0eIxGssA3owwdKvGzT2/y0bKnuBJs21xvi\n70nrpnJc1GrlevX6HcnJ8XgfY3XHah3tYmIDsyHp00c9VXPddfL/GpPyrmdZGV1DKWw/CTmO9zZ0\nRGqq8cDEF5KS9IMGR5K+zSckxKMWXLPNOPOidiwp2ulQLDusNg2ZNy9LlSVXy7x5InHfo9790cJK\n06avq9YPbZD9Q3ahrcfXBgAefFC8dzJwGPMwHSPme7ftDTV5NW5nlw1qkwszLWMo2qkUS/oN3IAf\nFaEAH025RldWK3C37yDssrvtWqraHueeOqsxEW4zMxvhTuhtipxO9Q91JgSmNOratYPpvozOb6rW\nbbYarFOYlfwT0zCbXaAq07q18YydLyQmxqqEbQAoGn6drpwY3O5QbUttbHzjN+M83baammkoK1PX\ncdMmYZNWhgSMxyI8iCfwAJ72mJSOHSv6dl/jZZuhDY/sP/Lxvbt2RYv27WGz2ZCXl4c9igw5EyZM\n8Hz/73/WPjPhxBcN9+/uj9P9IQyQHKn37wfeeks2oCwpMZ6adDgYOI9DdvY/sHv3zZgyJbDrTp0a\nr4qONdw9A2Rl3330qHqUnJZ2CkVFcifYtq1JvDYvdOy4H7/9dh569arFV18xMFYFxvQSd4Lbs7yq\nCti+XWQVi4+vwTbFVL8UTUIr8EhOHvvQCnjtNZx3b3egCCgpsXmmqo244AJdAsuASEo6jZKSZHzh\nTtH+iJ/JimJiDqkSe7VpA7RtWwtp7KsM7ZaVpR5tBJuqPRCOse4AlzvFf0JIGgEm2vIJM/8Dm61W\nlyFPGcqre3fAadsuVAQKSlIyVetaj37GYtGlC8cC9MYSXIk/Yxa2uPcVl6iPtQWYiv3889VmLMOH\ny+2zslKerZHic2spU0TvmIU/Y31b4PjxwKLmtGmjT4PM8/RhAV0uF2o0f7jNZuxMqLXpl9qp9r8G\n1E6k+rp5AuIExd13f4lTc1LQyJ2q76qrOMwichgRH682Vcrqke75J35Ef9w6Ut6XkCDOexQZuBPz\n8K/Qm5V6ZZ+tGTrW7gd3ucBOyqZX/jighQq7Xf8HaBOFNGtubtYo8SP6ob/Gobhp01T8YpA1trpa\nPasQ58NspxHaPiQtTX5uymvUjjVt2xbhqR0P4H23w2wJkrCLXw4oQgCOHQvDZEC+kJiob2uVXYzb\nKaD25zh71sI43ITa87rD9otQeimjOS2G7JAjjfGTkoTZiBRJyB9NtJLi4hKc2lGOVu4wnAXIR75+\nwt4U5bgx1ukUsSkh3jHVivSxygGmtOxwOFDrdhKrra1FZWVg5oL+4FVdowwFSGEBzdm69T3PcnGx\n3EllZMjLPXrIL/GdO8UcbHm5GFkGGgCjWzd1R26VuC452fglpxS2AaBVK9mx76KL9Gm2zejRQ9h+\n9+xZgepqBrvdWBvmcglpbckSoKJCvDzj47mh7aM2CL4qUsgNN+BAbaZ7Oyw1Z6FiyhR1PDJ/EwUy\n1kSOKOBm1y65GSoFbm0mukgI3G/wO1Xrv7g1JHVVl7/Kpvp4x3mBbn8HxR/27ruA0yCzaWm6eJ6H\nDhV2nWc1Tm0FBZno08eBKjhxNZaoUkGv3qU2P7Fl+9+RAfpBhDL8ZHm57MS5EXkYNEgvca5XaNKk\n5CBSAgp/adFCLxDFpOm15fHx8ajVROsoKzMW8rWxmkWItSK/4tSHkiFDalTCfvv2/knBdrs2yonc\nRr/Gpar7Z+TgXNfcUysyTfJjap8ds5wJoSYpSRbQWnB9P+NyuZCYKBxtX39dVroY8eWXYkB4IdSh\nmrrgVzRpkqYz9QCAQ4fUXsIxPkam8sY//yk/N3v3yk7tr+BW3H77HnyC0fgQV2MNzsdj+IvO7MTK\nedkbLpcLuzS+B45E/UBC9InqRHI7dxo/lEayv8sl+rSSD770bJP8RhIT9b4doSQ2Nkb1nwWt8TaZ\n9Vu8eLHnu5/bmT4nJwfr3BFwli5d6okul5SUhJISfYbWUGAqcDPG5rq/P2WMLdV+wlKbeszhw2IK\ncswYoLRUCKnNm9figgtk+7OKCr0wUF4uWmSgmghtqDorR4XUVN8cSTIUb4l33vHdZjUpSfy+M2eq\nUFVlh91uLKwnJIgf+5//ALGx293HVqEKTmx+cQVwXO40tMlRxO9dgqwsUSYuTqjWRObY8EuB2mQA\n/r5Qy8pG+5TYBABaaQKa1KUTioQ24kJLiKnrEMxIW9Kli3j5XaKQd0sdcmcjhbFyOBwoL6/Gzz9z\ndOoEuBL0bWzdlcI+YexY81FtWpqxYMgc6h8aKo2hNpb9JCzEdXgTNXDgppv26Movg6xSlXwIlFqb\nl1/2XTvjcsXjDYX9NGDWEbtwWjM47Nlzu67cWLyHMWPU2xhjcDjeQkyMHIL0TsxFu3Z14wrUvHkz\n5CmMWBVmwj6xd+9k3bZiJGMRTMLvKBg+3GuRkOOCOzFKpXr2wioKRii4++4K97f8LJq9houL26Og\noBZTpgBxyfq2uDlTJF1o3Vo8jNUaBUwN7GhsYnvpdKrbaUxqaOI6KIJIoUMHOQboHZiHIUNcqIIT\nf8CH6IM1OIMkrIGccWwSFnrskZ3OXQCArl19d+Z0uVz4RROv3kjgdhkkxpg06RfDc772mn5bSoqY\nRaiIEUqBN3EdityzCGfO+ODNHAQOh0PlJ5Ka6l/Hwrlv5SsqKtCnTx+88MILHkfIP/7xj1i5ciV6\n9+6N1atXe8Lg5ubmwm63o3v37iF3mrTScEsGS89CRCrRfggF+fnizdasGVBaKrTaLhdDfr780tiy\nRd9YysvFceGcope49FJ1UGuzaHnKjtzEnNaQlBTxojxzptqt4TYTuOX/weHYCJerCJWV4kJz1g9G\nlYVtqni5VKKyUjy6mZki2YrSplIiLi70WacyMtRadF/DTSn5M2YBgC4qRp8+xjMCEuEWco3QhlPL\nljLwhZnkZH2DKDotC0HXQJ5RiotzIDdX/Dnx8XrJMSlTPOiT9TKUBzNtsd2ufoaMorMEi9NZircw\nCW+7nfGys40aJsMpiNHnIcjhF7t2FfYzAwf6bu3ncrkwBWp7VCNHLpfLpUvC06SJvk3/jtaGA8+Y\nGI6aGgewYQPWZPXAPNyJv/+9bh7ijIwMHHKb5xxDE59DfkrU1OiFmEYo1tnUSiidRo0iM4UbBuOB\nTLBhK72RmCjam/LddKZUNh/5I2THWpvNhl69RIWSkvUN6ft8kQDKLGJNDeyeiFP34WnkQbZXdzrV\nPzRUA2Nle09NtWMyFmAH2qEGDkNfkwpFFBDljO2ECeL+3Hyz7xVzuVy4EuoZVaeBQsFI4G7bVj0A\nn4Z/ohcKMHiw/jqxseLmVTgS8MrMFzAN/8Ljj3sPbRwK7Ha7qo/xV4G1dq3wrRjcqxc+e/55lJWJ\ngedLL72EKQo73dtuuw2rV6/G2rVrPWaIGRkZ+Omnn7BmzRo8+eSTOOO2C46JicHy5cvx888/Y8aM\nGUH8Oj2mzZFzvs79vRLAFgBbOOcrpU8wF2WMNWaMfc0Y2+H+NjS+ZYzVMMY2uj9RrVU/7zwxBfPy\ny8CRI0IKs9sZmjWzfoIqKoRtZjDC1M03+9Y4OnZUN3areLarVvlvn5yUJHptIXCba7iTk+Xevby8\nP8rK0nD6tBh4fPQRUFpaangcIGm4K1Fd7babPCrUwEYDlhkzzBP8BMqFFwZm365kF9ri47SxuBIf\nq7bPnq1XDQXg+B1StKmWd6Nu5s8vvFB8K1/Ayg5sA/S2jABQWNhdt00S3mNjgREjhKbJiQrsSWiD\nwVgBh4ObmiNpBe5q6zGRJcuWGcdgq6xU25+2bKkWuKVOMhWnwMBVSVmWL2+OF17QRUG0xKiDNhO4\ntcTG6gWlPQbhFAEhcNfWOsC75+HBjsLjN8yZlz1IsfdjcRZZOOD3+zU52Tw06qWX6n+EkeawLtmb\nqH5mHkXdWH12dzc3penKV0xW8WszQ0rYbPr36MkOfQGIvvDxx/UD+yOKJCyzcR9+hhx5SKvhDiYa\n1a5deh8HAHC5EvEmJnuikJhp2yWUg6B//KMdnnoKuOUW30dARonWzGaiAGAyFni2NWoUg68UkXb+\njWlYj16G/aQkcFdWArtqm6ASsaiqEhfKytrtc30DgTGGcriwG63xGzr5barocNSgAHIkBKukftGA\n5d1njD3OGDsOYBuA7YyxY4yxUPiPPwDgv5zz9gD+6143opxznuf+mKcjjALatJFH9UVFQnjcvl1t\nnhEu5swRwsKdd5qX+eMfgW7d1J7IVmEI+/dX28/6gnDyqEBpaQ1qahxwOIx71+TkWABVuP76MtTW\niv+qR4+tAIAHHqj1jDSNEBqOnjh5UgXe+oUAACAASURBVIzRSkrE4Mbo3WeWXjoYlPc5EFJSNoLD\nhquK3sMmqIXDDgYO8t27ixjt5YGFlQ05s6DPSBiW68wS7UdpH9uq1T88y6UwDr0WG2vH14qwf05U\nYNcuuTN+7jmh+amCE9fmLsBKDEZKirk5Umam2hvQn7TDWkaMEDM3l1xiXS4zU/3OsEo+0rSpiCHv\nj0BpJEgbmSuJcr+qtrVsqXbO6ojfPNPPekTbPnsWOHFCTFdL7dTl8u40FwySJrQSsYaxgr3RqdN3\nnnjQP6Kfat+IEfpuMykJOHkSCJPpp1e2x6jjiV5ikKkzHFx9NbB1q9onIb17gWd5o0IoViIpZ5R8\ntVa2f7nvPnUYpCuxBGcskqJkZsoa3a9xCYLxf2vTJhZ2O6Cd9GrSRC3tagMTdO0qnOollAJ3bKyI\nae7PTLbL5cJwRbKvQ2hmMTD+GO1cezzbUlNjcBk+FysKGycjgd1uF23z+HHg2DHxmzIyREXz8nbo\nDwgDJ5CGM0j0e6Y/Pr4CklNrKVw4fVrfL+zZswdNApmKDgNWNtx3AxgA4HzOeWPOeSqAPgAGMMaC\n1bOPBjzDsQUArrQoWy/QemEDIqasUuBWRiK59NLFuvKB4nKJl70m5wFyc2V7yxtuAPr2VT90oTZR\nEA2/AqWl1eDcgZgYYw23GLkX4ezZKgDfoXXrPZAUjOnplR4Nd1qamaZbTjscF/cLGKsyHBkzFvr5\nVKsIC75QXGzuxWQ2NktPD48pgy/ExqozlZUisCgd/mK3A+01AX6cTvl5KoaxRjo39wAux2fYgXa4\nIuZDVMGJ1YpcEW0UEnxpqRAeH3vMvCGMGLFetR6sm0BZGfDFF+ptTz/9nWc5P18f1SDAqGKmxMfH\n4y8m2V215QB59uwsYpGUFI+piigM2zXREZScPi3CLK5aBTgcwvRFesaTkiIkmfpIWVkrj+ZeKzSO\nHGlwAIBGjfx3og4VOTl7VOsXGKRcDxfa3AFx8fJ7d582s66bVq307+aVK2VpS9LuZmMvZlz7Oj7B\nlejbV0wvtW6tT/7Su7f8nM7DHQEHIZAoLQUOaBIu33uvtRR//fVAt26HcK87KZdRfH1/iImJQRnk\nwUsLFBoKzOK/KsE+u3y9tDQnqnEQQy7aA3zxBVyujwAY+xTu3y/Er9mzgZoaoezKzRUvuvT0MNsk\nBYnNJvrjdeiJreiMsrK6TzrlD1b/5iQAEzjnnkj6nPPdAK4DYGEN6RMZnHMpeNdhAGZq4DjGWAFj\n7CfGmKlQzhi7yV2u4JhRLvE6IMcg53mPHmp7aGWRxMTQhqBp1EivpXrqKfnhS0oKPG6vr0jJLkpK\nKgE4ERNjbFcoyjXDF1+4AMQhNpZ7XrAFBbVugfs3dOpkbSpTUwMcPnwDODduZJGwefZG795vRLoK\nftG371uRroKHkydlTeNjjxmXad36LCoRiw7Ygc+qROgMZdhVpTC7aZPwpDviztHRtKl+RiY+Xv2K\nDNY+Nz5eL7RPnCjbgwwZoj+mc2cgJ+dgcBdW4HK58J0iJfM8222m5YAB+DP+BgB42zke8fFx+ATK\nONN70bLlYcPjJaqqgIKCWwDIGr6mTS1SHEYB/fv/7HFO1cZtN5qJijR9+xo7yUWC8nLZx8DhMO4D\nGjeOw3oTszAJp7MI+5GNf38q1Oc7d4r7cMsteq15vCI60We4Atfpw1X7RWysXhvcrVsX48Jupk8H\nhg49hedwD3piHVZhYHCVAOBQmGXWwm6h4c7Fv0um4PaUP8KJMiQnuwC0wooVYsBTU1OE2FhjBVZ8\nvNjOOfDDDyKeumQ6lx3cmCHsSIoo4WvC4E/oz0hgJXDHcM51ecE558cA77lrGWPfMMY2G3xUWQHc\nGSzNXNdbcc7zAVwLYC5jrK1RIc75q5zzfM55frpZRo4wY2QDKmm0d+wQD+4DCsMZzqUh+Fmkp4eu\nM1UyYICsdW/Z0jjZQWam3FkGqxUQQvNZlJRUAYj1InADp0/HAOiNykoXKiqEicj8+S63SUknnDpl\nbDaQkCBG6xUGpnZNmshqiRD7O4SE1q3VTWrhwghVxEfi4yMQi9CE48d7Ypfbhtzs3iYl6c0lvDnM\nSU333XfF6/ATOfcMnIpMk/Nst4bFCS0rS3ZhMXLsZAwYPz50U7va+NrLHcYhPKR2+jTux8O4A/fU\nPo+EhHicQBq+xKU4+cwzAIbj8GHj6dr27V8CIN49EpLAcMEFuzzbwpDQLWhychjewBS8hNvwCP4P\nihwaUUlCgIlewkFxsWwa8uGHxmaFiYmJuBtzPOt3G8RhqKwUNh0lJcLeu2lT0X9NmCAk4YceksvG\nx8dgAt7BfyFGrBYpGQJGaUJi1E7j4oALL3SCw4YNMEixHACbHeoZAnOBW5gnLqy9ClWI19l/V1b2\nREWFcX/au7dwj5swAdi3T/iinXaPh/PzZYG/Xbs6csDwA4dDPRhOT6+/AreVCtarepZzfgnnvJvB\n5xMARxhjzQHA/X3U5BwH3N+7AXwLeBkSRxmSRrtdO2DvXvWI+eefJUP/OFMtQLAoG6c2vJ7E5Zdv\n8yz/+9/GZXxF0nCfOVMDwGlq76q1Id29OwPduomprIkTT3pMSn791dhsID5eRFsxErgbNy5VlPOv\n/r4ipTUPJEFHkybqjlHSxERonOgVxlLAwPHZpxyvvGzuSFZX9MAGtMB+02dLmea4USPh2+1OMmbK\nRHcSx4suElqeUQpvEaUweX/MrIDq7A9duxpvHzzYrlgO7n0RFxeneoGvdZ5vWE5qpzVwYBZeQHF1\nKhISxLY7O76LY6NHA7Cjqsp4UJacLGaolD7Q0n1LSpI7/759A/sd3njnHfH95pvW5YzIyEhABeIw\nHS+hGI10ITqjjbg49cvuPz6GHg0HnCfiKdyPp3A/UlONTfASEhKwEoNxKb7E6G5P4Xncjbs1+avb\nt9+rWpdyq7RsKdrpLEVzjI+PwbuYgEvcUT2C8bXwBamvzM9X25107GgS+itAymPU/YWRSYly1q6k\nRMQxVPax1dXV4Nw8xXJyshCqT8gRjD2z5Wlpch/8zjvhMS/p5k5DEEi2ba2Jp5mcEy1Y/YPdGWOn\nDT4lgEF+UP9YCkBK63E9oMhn7IYxlsoYi3UvN4GwJw9BDrK6w8rct3v3nYpy4Re4zZg0SX5Cg9UK\niEbeAnv3NgcQa3p97ei7X79DnvBSLtdZnDkjeugxY07ojgWA48eFd+i33+r3PfKIGEB07KiPFxwq\n3n5bvPADSWvbqJHayJMx8aLbu9fkgAhTWipCq335ZS1iY8WgqGNH4/tSF5QgGQfQwtS5JkmRovzU\nKRHqZMAAbRn11KpVCLFOnUowGCswBzNgN3ECrgvy8+Xp7ObNg9Pi2Gw2VEEe4ZXHGBseq9vpCaSn\nn3Rv242MjNOegbHZ83DYndb96aflbdJ9GzdOWBEyVq1zTgsVEyaIdhqIeUFamr7nPn1a1vxFG06n\nWnu5CXWU8caAnJwzeBBP4UE8ZTojJCWC+hqX4r+/ixHvNZqM8CNHqh2WrQJQxMWpO5twC9ySWVi/\nfmobs+bNmxuUDhy73T3L5LxUdV0ljDHYbOvd5cW3aKdfIzv7gMdE0+k09reoqBB1vvlm5TnFd+fO\ncobb843H5UETFyd8VwJJINWoUSNce20exo3rhgceGIvq6rLQVzCEWIUFtHPOkw0+SdzMaNZ3ngIw\nlDG2A8Al7nUwxvIZY/9yl+kMoIAx9jOAFQCe4pzXK4HbinbtZKX+2bPG6ZKDxWr6e7w7f0Pv3vKL\n2d/kEFqEwO3C6dNpAPrhzBljFbMo9zlSU4Xx7OrVGR7N2a+/xqK4WDSazExjwSI9XXhfZ2TonTIn\nTrwcb7/9X6xdG50qqZYt9T1Bamr4tPHB0ru3mPrv0eMsOBcC1rXX1k0sbi1DhsjOhWaD2ebN9dKz\nVqDOz1dHyLDyjE9Pr8VKDMY9mGMa5jIcaPttZWKee+8N/vwVisx0J08aq5ZEO53ntv1sjGPHUt3b\n2uDnn9M90YSaNjXuyFu1EolCBg0CbDbxn0uCUF7eefjkkx9QWGgekSiSaFN8A8IPJtQOrKGiY8dK\n3Iz5nvUn8SDGjv2fxRHh45JL5L7N7L0mJRkBgNJSOZqNkgED1DOcRw3nwQUis6nbGQM1YcuEqx0c\namcmlWYnWo19IBQXjwIDx59rXgRg7pcUHy/MLGtqerrX4wF0xr59We52akdamrGjclaWGEWOHMmR\nni7esYNEDiKkpqbiv/8twNathwyPjTTx8fF4552NWLx4MxwOJ+bPn6/azzn3pG+PBiLigso5L+Kc\nX8w5b+82PTnh3l7AOZ/mXv6Rc34e57y7+ztIg4fw07nzfu+F3MTGyhLD8ePhS3+8bh1U9oeSOcS/\n3MMaZcKAYJMFaE1F9uwxNgmRkteUlAgnztpam+fYH39sjGPHhMfG4sXGTp7Nmkme2+UAVqmmHhlj\nuPbai5GUFKLMByGmZcswqfPChAjhCJw5U4nf3e7TDkdkRgedO8sdhlnHk5Sk19Zqy06bpn4BWwnc\nSmcshyN8AveePcAu2awZM2eK7zVr9GUzM4O/npT2/Dd0NC0jxbyvqZHfVVI7LS52eTTc339v7PPe\nvLnwV2jdGnA4vkJS0nHVvRg1aiAyM43fEZGmLsK5hpJGjRLwqiLyzCmkoqwsMvPrOTmyGUQPEyPQ\nRINwLtrn+vLL1RushGghcIt7ZrMFESzfC1u3Aps3y+vS7Jkyp4VkIpFnHBExIGpqrD11tRp9IfiL\ngYxop+1x6JCxnJGWJmbYBw6sREyMmCFWmmYMGZKPTp1Cq7kPBz16DMLOnTuxZ88edO7cGX/605/Q\ns2dP7N+/H1999RX69euHnj17YuzYsZahh8NJ9HhENQAuvrgEW7f6VtZurxuBsKfGd2PBAuCVVwCF\nggHnnw+sXRv8tWJ8DKIphQ+sqXFqtgnKy4Wq45ZbqgHoVZlxcWJbSUk5gAE4ebJYVyZa6dTJXMCJ\nRiSBu6SkEk88IR6m115rpXJYqru6GDv9KFFqzszIzFR3HtYCt/yKPHEifJ2O1kZ4xgwRylOpaL3l\nFmD+/NCEntuJdvgAY/AkHjQt43A4YLPVGArcADxZ3YYNOwUYhGmU/ruqKqCqqjMqK6MjFq4vtAlk\nfjuCJCYmAKjEtNFrcfaIHfgJ+Pxz66ga4SItTX5ozQbGcQZxTrVtID5eXcZqDORUSJy1teHrW9PT\n1VrtIUOAoiK1/fGdd4q8F13q8O+3UpZJ7TQrqwQwiGWekOB0l6tGaalk6uXf9e+6K/RJ2vLyZLt9\nb1RXV+PHH7/A+PEi5vi2bdvw+uuv45VXXsHx48fxt7/9Dd988w0SEhLw9NNPY86cOXj00VCklPGP\n6A6yWM/IyvK9Q7HbIxMv0uHQOxb88EMobRPlE40cqQtyA0DqtIeBc9GRDx1a7t62Ez17HkBJifCG\nbNnS+D+SspStXi1G5sePR7mnhIJWil4l2kMuAUBSkuj0XnyxERo1Ei/uwYMjk81r2jTvSYeMNGda\nOndWP1dWvhbx8WE2BjWBMb1PxYsvAocPqwfLgZKYsgJj8QHWoxcyMsxjYtvtXT1hN2Nja9zt9D9I\nTz/m1pxVo21bYx+U+HghBbz3Xi04j5xNcSD4qjyIFsRAMxb//iQf8d2E9KeMW1+X9OzpXdI0ipjl\nLcWBVbQhZ7iNti3QOvvdeCNQWAj0MvdT9JncXN9SmNrtetkjMfE1MFbtbqfb0L69sVZX8p968cU4\nFBdHdX5BHeXl5bj22jxMnpyPZs2yceONNwIQ/Wxftzf2Tz/9hC1btmDAgAHIy8vDggULsDdCTlOk\n4Q4hkyen40FzhZGKuLjo+eudzlA6mchmIMuWGQ9AxFS1bJbQtKlkUnIUVVWx7jjeQFyc8XjwxAnh\nsztvXhhiP4UZu92O7GyOffsYfome0LmmJCeL+3TkiBNjxqzBhx8OxK23mic7CSdt2rTCwYOlaNTI\nXOIUgsdyNG+ejUOH2hmW8cdaQJuEJpI4HP7V3YriYjnt85Ej5obJVVWXe5bj4jhiYmLAWAlqazlK\nSkoBOExDR9psYvDzwQf1U69z/fW1WLDAFpVhC7UoZ3Zyco4CaIX/+78dADqZHhMu4uPjcfRoKWJj\nXbCKixwf/zYYG4myMvEe9xZy00rrGkmBWwtjwcfrlzh2LN+ncqdPX6zbFhNTBcYkk5IBsNmMc5RI\nISWLiwNP6uarJjrUxMfH48cfN2DPHoamTWU5RtkeOOcYOnQoFi1aFJlKKqifb8IoxczJz4jYWFmD\nMmxYZJzQwk3HjgZx+6CfThw92uGxF62s5CgoEC+ZH380Pm98vLDRKy21ATiBUaOiNMSHCRs3Mnz3\nnXHWr2ijWTO5I6uqEprtJk3C4+TrC82bJ1g6mIpna4ipsO0v0dSRR5prrjkNxhjs9hpUV9uwbZuY\nWVq40HgAlJio7MDXokuX+tVOX33Vhi++EBmDox2lgFFWJhQWmZnBZcUNhvT0BCQnW/eHlZVDPcI2\nEFyismgaGIcSOV+HNUr/krw8MbPsdAK1tQ6cPCne28uXG8eedbnka9jtHyA11cI7NQpJS2No104d\n719J3759sWrVKuzcKSLDlZaWYvv28EUxs4IE7jAxerT1fuU0VGpqdAdrD5RJk8oNt2unE5s1s7s1\n3P2xbVs2Dh4UthZmbcLlEk5vZ8/aAcTC5YpcxxIIqamyF3i0o+zI9+8XnaOk9Y5GjKaqg+FcELiV\nUSWs6NJFdBec90RxcRMcOCCeg2PHjLsRl0spBMUiLq5+veecTmD48EjXwjeU7bSwUMw4SOZg0UpN\nTehiVjfUdmq3y22mUSPjTJEAEBOjFLhFv1tbK9TsRUXWM5JKv4yaGgeczuiJ6uELjInkZWav/vT0\ndLzxxhuYMGECcnNz0a9fP/z22291W0k3JHCHGEmQ+vhj63LNmsl2j+++azI0q+c88oi5bbXNJmv1\nnU51zN+UFDESHTpUdxgAoHlzEfc3Pb0MQAJOn46cxrWho+zIN2wQRonKyDb1lfbtfSun7MgTE41n\nbOo733xjLvikpy/1LCcnCwFOipgghfrr08f42MaNlT1gLg4dqn8mYPUFZTv98ENhL3/sWAi8ayPM\nggW+lXOEKw5ghHE45DZklnkZANq2laeDXS4xe37smDAH27bNun9Ux9u/EkeONAugppHBKNpITk4O\nNitDyQAYMmQI1q5di02bNmHTpk0YNSoytur1v+eMMr79Vnjle6OhjsiVDBxoPlKOiytQrYswRiLW\np8slRp/jxhkfm5srpqbLysTju2xZ+MIqnusYRf1oCLO3UljMESOsyynb6ZkzDeCH+0la2q+e5aIi\n8fsTE78FANTUiOhAf/ub8bHNmglhQZruPnQoSoNYNwCUGfdKS4UA1bNn/e9jJk0S397yFIR6Zita\naNXKt/jXWVlyFuBNm4Siq0MHkWqVcxHIYPZs46Qw2kR0RPgggTvE2GzW8UIlzgWB+7nnzB+vsrKr\nPcvlbssTp3MFEhNP4NSpJu5142MTE8WO0tLonjJtCBgJ3A1BmTRwIPDII8Drr1uXa6jtNDlZdqC6\n4grzqeqzZ+VAylu3MvexYkB88qRofwYR3gDIHXl1df0y+WoodO1a/wUpxoDnnwcKCryXbYi0bOlb\nyNtGjeTB7A8/iPveuLHI1HnqlNRujSPvkMBdd5DAHSGUHfmf/hTd6UgDpWlTc61DQsJuz7LknV5Z\neS3OnGmMffuEWsNM1pG8qiXsduOwZETw+BLXOtqw2byHLbTZgL/+1XvUD2U7bdy4MtiqRQ3Nmh30\nLOflmXcDrVrJ5WrcZqJlZcKpecWKWwAAu3frDgNAHXldY7OdUK1Hu+lXly7LfCp31111G9M6mmjZ\n0tgPSl9O31lWVQnTkLffHgMAeO89Y00JtdO6I7pbZANG+ZAPH95wNECJibIDlsvCdOy885Z4lrVx\nwSXMTBe0GS379fO5eoSfiDBwH0W6Gn5RWysPyHr1Cm4wpmynbds2HIG7a1fZI7l9e3NTmdzcA57l\nZm7TzlOn1KHKuMlfrG2nRHhp3Fgd9izarSyklO6EOW3bygJ369bm759mzfSJp44cEeFza2uFfHH0\nqPEDQe207iCBO0I0bSo7KjWkkEatWsnBpdONoxABAJKT5Smw7t2Ny5jlntCOyJWe3ETo4fxq74Wi\nlPj44J4NZds0m5Ktj7RufdKzfM015t1AkyZyR37zzcZlzF5fpDmrW44fvy3SVfCL2NhQ26b5mOa5\nHqGMNPPww+ba7iZN5JwXEyaI7+RktUPhceM8dNRO6xASuCNEamoqAGFA2jx8GaPrnGHDVvhUrkUL\nfXa7hIRtqnUzkxLtC8LMhpQ4N8nOlp+j0Diji2xWubkNwHjdTceO8rKVmXrz5rLALWlMu3d/T1Wm\nf3/jY6kjJ6wYMCDU+SfGAwA6dYpMJtxw0KSJHBAgM9O8PSkFbskKcODANaoyU6caH0vttO4ggTtC\n2Gw2pKbeh5ycUTjvvEjXJnRkZ1uotRUMHaoPhVha2lG1bpZ5TPuCyMnx6ZLEOYJyMHfBBcGfr3fv\n1WDsn3jkkYZj+pWZmelZtjI96Ns3z7MstceKCnXYMLOsetSRE1a0bi2P9MaODf58kyb1APA83n8/\n+HNFC80V2ricHPORcW5urmdZmnHSJpgbM8b42Po8w26325GXl4du3bph7NixKCvz3x9u7ty5AR0X\nCCRwR5D169fip5/+GelqhBTRkT+Ajh3/bFnummv+EPA1kjUpGu+/P+BTEQ2Qa6+V7ZN79w7+fJ9+\n+i527x6K1AYURlq00+sA3GlZ7jyFNiBb5KNCYqLaltRuMg7RttN77vG3loQ/pKTsiXQV/OLCC+UZ\nozutH0OfeOWVl/Drr8PQrVvDmfIU7fQiAM+gUyfzco0ayTNRzz4rvps2VTtX5OXBEMYYbLaNwVU0\nQsTHx2Pjxo3YvHkznE4n5s+f7/c5SOA+R8jJyUGGtzAJ9YzOnTsDeBq33WYdPN9ms4FztcNVdvYP\nPl0jVSP5kEkJoWTwYNkpIBSOY02bNkVOA5tGadOmDZzO9zF9unenUqmdSv9l5847fLqGUggAAMWs\nNxEGysrqV1+iHMx17Rr8+RITE9GlgYUzSUlJQWbmdowY8a3XslI7lfrDjAx127Z6Fzqdp4OoZXQw\naNAgT/r2OXPmoFu3bujWrRvmzp0LQKR0v+yyy9C9e3d069YNixcvxrx583Dw4EFcdNFFuOiii8Je\nx4gYJTLGxgJ4HEBnAL0554ZRNhljwwG8AMAO4F+c86fqrJJEQHTr1g379+9XTYX5SlxctU/ltAJ3\nQ7KBJ4Kna9eumDnzOAYPToV4dRBaGjVqhL1796JxY/+TRiUl+aansWtU31fXX9/bekFa2jEcPpwd\n6Wr4TGpqKp577hgSEhqhUaOG45AcShhj+PnnnwOKJOLPMfHxp3HWbfouBuF+airuugvYGGIteV4e\n4BaWvVFdXY0vvvgCw4cPx7p16/D6669j9erV4JyjT58+uPDCC7F7925kZmbi888/BwAUFxcjJSUF\nc+bMwYoVK1R28OEiUhruzQCuBvCdWQHGmB3AywBGAOgCYAJjrGENXxsoLVq00HW2vpCXt8qnclrN\nGRFeGjfeH+kq+M3s2U1w2WUkbFvRrFmzgBL75OTo0ymbYbfLmfKo2YaXSy9dG+kq+M3dd6fj5ptJ\n2LaiSZMmYRe4GzeWHVgHDKg/Ub/Ky8uRl5eH/Px8ZGdn48Ybb8QPP/yAq666CgkJCUhMTMTVV1+N\n77//Hueddx6+/vpr3H///fj++++RYhaPOIxERMPNOd8KeE3H2hvATs75bnfZdwGMBrAl7BUkIkJK\nim8N3eFwwOn8P1RWPhLmGhEAcNlln+PNN2+JdDWIKCEx0feOvFOnifj11+UAAEUkVCIMDBp0CgsX\nRroWRLTgj8Cdm7sCu3b9CQBwxRUBXMxHTXSokWy4faFDhw5Yv349li1bhgcffBCXXnopHn300TDX\nUE0023BnAVCq1grd24gGSvPmsjPW3LnrLcumpr4a7uoQbrp0kU19brqp/mm7idCizD46evQ6y7Lp\n6ZQFtq5o2tS3CFHEuYGynSYmWttop6bKDs71PQ/OoEGD8PHHH6OsrAylpaVYsmQJBg0ahIMHD8Ll\ncuG6667DzJkzsX69kDGSkpJQUqIPUxwOwiZwM8a+YYxtNviMDsO1bmKMFTDGCo4dOxbq0xN1ROPG\nqQCGArgUgwZZl62trQDA8Pe/+++VTPhHerpsMz9jBglQ5zrChyIfwDhcd93vPpRluPfe++qiauc0\nShvU+fPrn3kJEVpE22sH4I946CHrfjItLQ0Aw5VXXlUXVQsrPXv2xJQpU9C7d2/06dMH06ZNQ48e\nPfDLL7+gd+/eyMvLw6xZs/Dwww8DAG666SYMHz68fjtNcs4vCfIUBwAogzW3cG8zutarAF4FgPz8\nfJII6imi0X8DAEhJ+btl2YyMDBw7dgxt2rSpg5qd22Rny7YArVvXr0gIROgRgt06AOuQkjLNsmy6\nO91sy5b6uPtEaGnWTI4MNWBAkkVJ4lxA9Ke7AOxCaqp1f9qhQwcA9S8m95kzxv4kd999N+6++27V\ntmHDhmHYsGG6stOnT8f06dPDUj8t0WxSshZAe8ZYa8aYEyKN1NII14kII+IFIfDmGPnQQw8hOzsb\n559/frirdc4jwnf9BcDcevdCJkKPP+108uTJyMjIwNChQ8NdrXMeEbpyKoBP0KEDKSLOdZQRiLy1\n04svvhjNmjXDtGnWA2giOCIVFvAqAC8CSAfwOWNsI+d8GGMsEyL830jOeTVj7HYAX0LE9nqNc/5r\nJOpL1A3KKVFv4comTJiACRMmhLtKBITmbPz439CzZ89IV4WIApTt1Fv4zwEDBuDw4cPhrhIBkdvg\nvvvSUV7+XzidIbfcJOoZMTFyKeRUPQAAIABJREFU9Bdv7bR169Y4dOiQZRkieCIVpWQJgCUG2w8C\nGKlYXwZgWR1WjYggTRVhDLxEsCHqmEWLFkW6CkSUoNSWNbTEXfWdp59+OtJVIKIQkbEy9HDOz6m+\nmvPgLJaj2aSEOMfIzs5Geno6mYkQRBRjs9kwYMAApKSkqLRoBEFEF1OmTAEgNNihJi4uDkVFRUEL\nofUFzjmKiooQF0Rqa9bQ/qz8/HxeUGCYuJKoBxw9ehRJSUmIj4+PdFUIgjDh5MmTsNvtSE5O9l6Y\nIIiIUFpaivLy8rBkUayqqkJhYSHOSikqzwHi4uLQokULnaKBMbaOc57v7fiImJQQhBlNKTsGQUQ9\nIuQYQRDRTEJCgioedyiJiYkJi+a8IUMmJQRBEARBEAQRRkjgJgiCIAiCIIgwQgI3QRAEQRAEQYSR\nBuc0yRg7BmBvhC7fBMDxCF2bCA90TxsedE8bHnRPGx50TxseDfWetuKcp3sr1OAE7kjCGCvwxVOV\nqD/QPW140D1teNA9bXjQPW14nOv3lExKCIIgCIIgCCKMkMBNEARBEARBEGGEBO7Q8mqkK0CEHLqn\nDQ+6pw0PuqcND7qnDY9z+p6SDTdBEARBEARBhBHScBMEQRAEQRBEGCGBmyAIgiAIgiDCCAncIYAx\nNpwxto0xtpMx9kCk60OEBsbYHsbYL4yxjYyxgkjXh/AfxthrjLGjjLHNim2NGWNfM8Z2uL9TI1lH\nwj9M7unjjLED7ra6kTE2MpJ1JPyDMdaSMbaCMbaFMfYrY+xO93Zqq/UUi3t6zrZVsuEOEsaYHcB2\nAEMBFAJYC2AC53xLRCtGBA1jbA+AfM55QwzUf07AGLsAwBkACznn3dzbngFwgnP+lHuAnMo5vz+S\n9SR8x+SePg7gDOf82UjWjQgMxlhzAM055+sZY0kA1gG4EsAUUFutl1jc02twjrZV0nAHT28AOznn\nuznnlQDeBTA6wnUiCAIA5/w7ACc0m0cDWOBeXgDRCRD1BJN7StRjOOeHOOfr3cslALYCyAK11XqL\nxT09ZyGBO3iyAOxXrBfiHH+oGhAcwFeMsXWMsZsiXRkiZGRwzg+5lw8DyIhkZcKB2xyqnDF2RvF5\nKdL1CjO3M8Y2uU1OyPSgnsIYywHQA8BqnANt9VxAc0+Bc7StksBNEOYM5Jz3BDACwG3uqWyiAcGF\nTV1Dtau7gnOeqPjcri3AGHP4ss0Kf8uHib8DaAsgD8AhAM9FtjpEIDDGEgF8COAuzvlp5b4G3lYb\nLAb39JxtqyRwB88BAC0V6y3c24h6Duf8gPv7KIAlEOZDRP3niNu+ULIzPBrh+tQZjLEpjLFVjLHn\nGWNFAB432WZjjD3MGNvrdlBcyBhLcZ8jhzHGGWM3Msb2AVge0R8FgHN+hHNewzmvBfBPUFutdzDG\nYiAEs7c55x+5N5+zbbUhYHRPz+W2SgJ38KwF0J4x1pox5gQwHsDSCNeJCBLGWILb0QOMsQQAlwLY\nbH0UUU9YCuB69/L1AD6JYF0iQR8AuyGm52eZbJvi/lwEoA2ARABak5QLAXQGMCzcFfaGJJS5uQrU\nVusVjDEG4N8AtnLO5yh2netttd5idk/P5bZKUUpCgDuszVwAdgCvcc5neTmEiHIYY20gtNoA4ADw\nDt3X+gdjbBGAwQCaADgC4DEAHwN4D0A2gL0AruGcNygnPHeEnSYAqhWb7wVQBeCvnPNsRdkpBtv+\nC+BDzvkr7vWOEB1jPMQs3u8A2nLOd4f3l+gxuaeDIaaoOYA9AG5W2P4SUQ5jbCCA7wH8AqDWvfkh\nCJvfBt1WGyoW93QCztG2SgI3QRBEA8MtcE/jnH+j2T4FwB855wO8bNsKYCbn/HP3ehyAcghhOwZC\n4HZyzqvC+0sIgiAaBmRSQhAEcW5hpGXRbjsIoJViPRtCW37Ey3kIgiAIA0jgJgiCILQsAjDD7ZuS\nCOAJAIs559VejiMIgiAMiIZwTgRBEETo+ZQxVqNY/xq+O529BiATwHcA4gB8CWB6aKtHEARx7kA2\n3ARBEARBEAQRRsikhCAIgiAIgiDCSEQFbndaz6OMMcM4jEwwjzG2050GtGdd15EgCIIgCIIggiHS\nGu43AAy32D8CQHv35yaIlKAEQRAEQRAEUW+IqMDNOf8OgFUQ+9EAFnLBTwAaabIUEQRBEARBEERU\nE2kNtzeyAOxXrBe6txEEQRAEQRBEvaBBhAVkjN0EYXKChISEXp06dYpwjQiCIAiCIIiGzrp1645z\nztO9lYt2gfsAgJaK9RbubSo4568CeBUA8vPzeUFBQd3UjiAIgiAIgjhnYYzt9aVctJuULAUw2R2t\npC+AYs75oUhXiiAIgiAIgiB8JaIabsbYIgCDATRhjBUCeAxADABwzucDWAZgJICdAMoA3BCZmhIE\nQRAEQRBEYERU4OacT/CynwO4rY6qQxAEQRAEQRAhJ9ptuAmCIAiCIIgwUVVVhcLCQpw9ezbSVYlq\n4uLi0KJFC8TExAR0PAncBEEQBEEQ5yiFhYVISkpCTk4OGGORrk5UwjlHUVERCgsL0bp164DOEe1O\nkwRBEARBEESYOHv2LNLS0kjYtoAxhrS0tKBmAUjgJgiCIAiCOIchYds7wf5HJHATBEEQBEEQRBgh\ngZsgCIIgCIKIGHa7HXl5eZ7PU089FdLzP/7448jKysKjjz4KQNhk33HHHWjXrh1yc3Oxfv16AMCu\nXbuQl5eHxMTEkF4fIKdJgiAIgiAIIoLEx8dj48aNlmVqampgt9s969XV1XA4vIux1dXVAIAZM2Zg\n5syZAIAvvvgCO3bswI4dO7B69WrceuutWL16Ndq2bYuNGzeSwE0QBEEQBEGEh7vuArzIvX6TlwfM\nnRvYsTk5OZg6dSq++uor3H777Zg/fz769++PVatWYdSoURgzZgymTp2K48ePIz09Ha+//jqys7Mx\nZcoUNG7cGBs2bEDPnj2RlJSkOu8nn3yCyZMngzGGvn374tSpUzh06BCaN28egl9sDJmUEARBEARB\nEBGjvLxcZVKyePFiz764uDj88MMPGD9+PADg1KlTWLlyJe655x5Mnz4d119/PTZt2oSJEyfijjvu\n8By3fft2fPPNN3juued01ztw4ABatmzpWW/RogUOHDgQxl9IGm6CIAiCIAgCgWuig8XKpGTcuHGm\n6//73//w0UcfAQAmTZqE++67z7Nv7NixKhOUSEMaboIgCIIgCCIqSUhIsFz39TglWVlZ2L9/v2e9\nsLAQWVlZgVXQR0jgJgiCIAiCIOod/fv3x7vvvgsAePvttzFo0CCfjhs1ahQWLlwIzjl++uknpKSk\nhNV+GyCTEoIgCIIgCCKCSDbcEsOHD/cpNOCLL76IG264AbNnz/Y4TfrCyJEjsWzZMrRr1w4ul8vn\n44KBBG6CIAiCIAgiYtTU1Bhu37Nnj2r922+/Va23atUKy5cv1x33xhtvWF6PMYaXX37ZnyoGDZmU\nEARBEARBEA2WxMREvPrqq57EN2ZIiW8yMjJCXgfGOQ/5SSNJfn4+LygoiHQ1CIIgCIIgop6tW7ei\nc+fOka5GvcDov2KMreOc53s7ljTcBEEQBEEQBBFGSOAmCIIgCIIgiDBCAjdBEARBEARBhBESuAmC\nIAiCIAgijJDATRAEQRAEQUQMu92OvLw8z8eXGNz+8PjjjyMrK8sTpeS3335Dv379EBsbi2effdZT\nTooH7nQ6cfz48ZDWgeJwEwRBEARBEBEjPj4eGzdutCxTU1MDu93uWa+urobD4V2Mra6uBgDMmDED\nM2fOBAA0btwY8+bNw8cff2xYj5ycHD9/gXdI4CYIgiAIgiBw112AF7nXb/LygLlzAzs2JycHU6dO\nxVdffYXbb78d8+fPR//+/bFq1SqMGjUKY8aMwdSpU3H8+HFPpsns7GxMmTIFjRs3xoYNG9CzZ08k\nJSWpztu0aVM0bdoUn3/+eQh+oW9E1KSEMTacMbaNMbaTMfaAwf4pjLFjjLGN7s+0SNSTIAiCIAiC\nCA+SKYf0Wbx4sWdfXFwcfvjhB4wfPx4AcOrUKaxcuRL33HMPpk+fjuuvvx6bNm3CxIkTcccdd3iO\n2759O7755hs899xzdf57jIiYhpsxZgfwMoChAAoBrGWMLeWcb9EUXcw5v73OK0gQBEEQBHEOEagm\nOlisTErGjRtnuv6///0PH330EQBg0qRJuO+++zz7xo4dqzJBiTSR1HD3BrCTc76bc14J4F0AoyNY\nHyLKqa4GSkuN991/P8AYoGhrBEEQBEHUcxISEizXfT0u0kRS4M4CsF+xXujepmUMY2wTY+wDxljL\nuqkaEY3ExACJicb7nnlGfM+eXXf1IQiCIAgicvTv3x/vvvsuAODtt9/GoEGDIlwjc6LdafJTAIs4\n5xWMsZsBLAAwRFuIMXYTgJsAIDs7u25rSNQJbidjQ3bsUK8fOQJkZIS3PgRBEARBhAbJhlti+PDh\nPoUGfPHFF3HDDTdg9uzZHqdJXzh8+DDy8/Nx+vRp2Gw2zJ07F1u2bEFycnLAv8EbkRS4DwBQaqxb\nuLd54JwXKVb/BeAZoxNxzl8F8CoA5Ofn89BWk4gGHnpIXuZcmI9IdOigLrtvHwncBEEQBFFfqKmp\nMdy+Z88e1fq3336rWm/VqhWWL1+uO+6NN96wvF6zZs1QWFjoTxWDJpImJWsBtGeMtWaMOQGMB7BU\nWYAx1lyxOgrA1jqsHxFFKE1Ftm2zLvvII+GtC0EQBEEQ9YfExES8+uqrnsQ3Zkia9qqqKthsoRWR\nI6bh5pxXM8ZuB/AlADuA1zjnvzLG/gqggHO+FMAdjLFRAKoBnAAwJVL1JaKHbduATp3M93/5pfdz\nMAa4XOZOmARBEARBNAxmzpzpSXpjhS8JeAIlonG4OefLOOcdOOdtOeez3NsedQvb4Jw/yDnvyjnv\nzjm/iHP+WyTrS0QHDz5ovP3rr307XsriWlYGhDh7LEEQBEHUOzgna1xvBPsfRVTgJiLPmTORroH/\njBxpvP2SS9TrtbXCnlvLvffKy2bCO0EQgbFpk3G7IwgiOomLi0NRUREJ3RZwzlFUVIS4uLiAzxHt\nUUoaFKtXA716AQ4HsHYtcOmlIqKG0xm+a370ETBmDNCmDbBzp9rZ8KWXgOnTgTfeAK6/Pnx1CDW5\nub6Ve/JJ4OGHRRSTdu3CWyeCIIRDc/fu8rKSAweAvXuB/v3rvl4EQZjTokULFBYW4tixY5GuSlQT\nFxeHFi1aBHw8a2gjmvz8fF5QUBDpauj49VegWzfgttuEoKsUfIO9BQsXCoG5oEAI9BI1NUK4lxg2\nDPjPf+T1UNYh3Cjr+o9/ADfdpN+njF6iXP7qK2DoUONzSWUJggieJ5+UIwpVVKiVCcp2V1urb4cE\nQRD1EcbYOs55vrdyZFJSR+x3p/h5+eXQnO+LL2RzEEk7na+53dokML44E9YHlLbaWmH5ssuAnj3V\n2+bPD3+dlBw/DowbB1RV1e11icgzeDBw992RrkXkUIbvPHDAvNzx497PVV0NnDoVfJ0IgvCdsjKg\nuDjStWiYkMBdR4TSVnrHDmHHPGmSdTkr++RgtLq33w40axb48YHQuDFw441i+YMP5O1SlBEp06RR\n5BHlbzUJ9RlS0tOB994DGjUK/7WimYcfBt5/v26veeoUUF4OfP650KD26xf4uc6eFeZYO3f6fszK\nlcDzzwd+zYaE8n+orFTvU+S3MCUmBkhNBTp3Dm29JBISSMseDTBG9yFaqKkR7SJa+i7OxYz2iROR\nrkloIIG7jlBqtisq/D/+zBng8cfFA/jSS2Lbxx8Dhw+ry33xhW/nW7bM/zpIvPyysD3fvVtocXv0\nANavD/x83jhzRjQ4I8FH0oBJL4jERP3gZsQIefmHH+Tla64BOnYMbV2VlJWF79z1gVmzxH9cl6Sm\nikHX5ZeL9Z9+Cnxw2aKF8IFo3z74elVXA//9b/DnqU+8+KK8vHChet/Bg/JyVZUY3Jjx22/CBCWU\n/OUvcvskbV7k+POfI3Pdiy8GojgDeMRwZ0iPGh5/HLjlFuGD1hAggbuOaN1aXtaO1nwRCJKSRCeR\nnAwsWSJvb95cXU4ZwaN3b/GttNuWlh0ad1lfOzRlXd9+W2iWN25U244Hyr59wCef6LevXi2+V64U\n3xMnyvskgTs1VXx/9JGYylYORJSduTSV3bq1ENK9TVn7KzRv2uRf+YbKkSPG24uKhDZrzRr/z1la\nCpSUmO83G8hamTZYUVTkvYwSq2clJkZE0fnLXwKrS33nj3/Ub5PeJU4nEB9vfbwmuVxQnD0rOnKJ\npUtNixJh5okn5OXt2+vmmrW1wPLlauULIbjuOnn56NHI1UPir38V38XFDcNEkwTuOqJtW3n5zTfV\n+/x5kM6cke3BvdG7txAqhw2Tt0na3jlz1GV37PDtnMq67tunj2NdWSkGBIFoFVu1Aq680noGoFUr\nwG6X1zdsEN8pKeJb0lZt2SKXOX1aXpbMTV59VQjpJ0+a13X1ajG9pv2vrAhVlsvaWuDWW4HNm0Nz\nPm9UVQFTpnjP4ukrZv/pe++J7z59/D9nYqIYcJqZBZkJ8f/8p//XstK4mqEcDJw8aVxGKehJcC78\nK+q78251tXpdilaiRKmpUgpbgJgxM+PiiwOvl5atmnzFUqdORJZA2mkgKM2bzBQDDZ2qKqH4sDIN\n1c6e1zVa09BPP41MPUIJCdx1xMMPy8uZmep92g4gVJSWCiEF0NtMfvWVev3HH307p3L69V//0ptv\nPPoocPXVwDff+FdXJdoXryRMP/EEEBurFsgnTxbf2mhGSiFbKQhJDqYnTojBSGWluXDVt6/4vuce\nIYz6QiCaWyP27BHOnsrBUjhZtQpYsCB0go3Z8xSomY3SBMFM23nbbcbbA3FU/vln/49RdhDKgZKV\nIAkAc+cCw4eL//6XX+qvo6AUe1uaPevWTV/mnXfkZeU7EVALP6E2IVGidar2x0Y/0hw5IgSlO+8M\n73UqKoDs7LrV/ksJyfzlxAlhvuTrgFXZf/g7i9VQkKIHHTliPui46y7fzsU58Morgc8kmqFtlx9+\nGNrzRwISuEPMhg3eX+BaZ8dffxUNPzVVLSh6Q6npNaK0VNbQKgVuyb4VkDWyvsaplsw7zHjlFfH9\n6KNC0PXVWVQpFP/73+I4SdsqaSR69QLi4tQC8kUXiW8p6Y30O5Wx6UtKZMccSXhv1Uq2+z51Sozm\np083FwgXLLCuf1GRcOoMlVZA6jyUgmY4mTtXfAf70hw0CLjiCmDRInmbUhC1GoitWWMuaCl9E7QR\nLioqgA4dzKdAA+lUp0/3/xjl70xPl5eV/wWg19BLUU1WrBAx5iXzqGCZPx/YtSs05/IFqZ1KM0Jv\nv60v06ePeRz98nJ5WRpIE2okJ+R58wI/B+fCn8BKQN2/X3x8VTT4S5s2vvlGLF2qNnMw4uqrgTvu\nkN9h3lAK3DU14t3SEIS5QFEmglOyYoW8XF0t+k+jpHO5uULZEUR4akOk2VAJ5WC93sI5b1CfXr16\n8UixcCHn4jXG+fvvc15bK++Ttis/TZuK7+XL1duNMDre7FNcLI657DLOzzvPuuzHH4vvhQt9+40/\n/ywf26yZ+rco6xkXZ/17tPznP3L5Cy7gPD5eLK9fL/8/K1Zwfv75nA8fLh/Xq5f6Gi+8INZnzrT+\n3ZWVnC9aJJa//57zVq309dUeY4XZdWpqfPv9VucrLZW3TZkS2Pm88eijxr/zmWfEtrNnfTuPdA5l\nW9izR96flye2de+uPu7118X22bONz9uihfrcRtfUfubPF99du+rPV1DA+YYN5vXXfqqqvP/2hx6S\nyyvPrT2X9h6aXZNzzl9+WSxv3er9+kr27PGv/YWCO+8U17vnHvO2xDnna9eqn23lu0hb3tf25w/S\n+QYPrvv/KFhuuin4Oj/2mDj+uefMy0yfHvr/ZsUKcb5PPrF+5iWqquTtX39tfl5/n5GdO+XymzbV\nv2cgWJRtzlufJ8kwH35o/j+Fo41yznnz5uF7B4QaAAWce5dPScMdQpRambFj1ZpkI3tGSascakcq\nycZ73z4xRW2FNN19yy2+nVupHVBqc88/X13OXxtYpcbmzBlZ2zVxoqz9jo0Vn927xWh7+3Zg3Tr1\neTp0EN/eUks7HMJsAwBuuEFkwAsHgUSk0VJcLF43gMgKasacOYFHwjB6PgHgvvvE92+/yds++8xY\nk690elJqN5Va640bxbfWZOOGG8S3Msa6ksJCefnJJ43LaOnRA8jKkp2HJZYsETHre/TwPm3atKn4\n9uV5XrVKXi4vFx+tHSJgfQ+1SGYy/obG8+aAdvq072ZkviLNXnhrexkZ8vKFF8rLb72lj2qTlhaa\nuhkh2YRq8xf4y0svifdQRYXcTsPFRx8Ffw6pv7nnHvMya9cGfx0t0mzk6NHq7U8/bVw+JkZeViYu\nCxblTJiyXe/eLfqeQLTdv/1m7dAdao4cCfweaU02Bw4U30a+ZJKW+aef5G1m72gA+P33wOpkhDRb\nPX68+LZ6XusLJHCHEWXovZQUfRgiKcKIFH0jWCTzECkKijdhG5AHCTNn+nYNbTxdCeXLMRCUts9K\nG/f4eFkoWr1amIpIwsSsWUDXrurzSFP5yukoo5iijMnTpVphxuw3mnWmRmHFpOnNQJzvtGRmAjZF\nS12/XlxTa/5xzz2yaY2/aJ/B06fVdZc66SNHhMmINjoOoA6xqEyy5M9/oPUtMMJbRIvcXGF/mp8v\n7r32/lx9tbz8wgvW55I6Z1+cV5WmK2fPiv9I8qEA1IJGSor4j60cpn35L8zwZpo2YgQwYIB+QLB1\nq7U5x9GjegfroiIhbLpcYn3cOPEfd+4sBEStmVDLlvKyMinwBx8Ikwll567MKBuKrNNKoSgxUTwr\nWVmBn2/XLmF+lJ8v3k1XXRV8Ha3wJWGQv/z978JZXRkPW3kPvLF/v7p8YaFIgOTr4EOrNPGFhx8W\nA7xABjhKHwml/fIdd4hoYH/4gxj8afnHP4QZpzbKWG2teNaTk/2vS6A0ayYUCYH4OmjNJl0ucc+U\nJl0SkrCrzKeweLG8rPUlCGVkE8mMULrGc8+F7twRwxc1eH36RNKkxGqKrEcPzocOVe9TmmdIn8xM\n38+t/dx/v/h+4w3fjzl9Wl6uqPD+G2+7zfg8Q4eK/f36iXVlOSPGjOG8ZUvOR4wQJjBm9cvJ4Twm\nRiwvWcL55ZfL+6ZMEeYnF1wgn/fIEbHviivkckrzFm9TaADns2YZ7ysrM/4tEyfqy0rmDAcPcn7s\nGOfHj3v/byWOH/d+31JS9P9tMNNu2v8G4Dw3V7/9l1/k9TffND+H9nPLLeJZS0gQ6y1byuYSNTXG\n1+/TR7QRo3NLFBTo9ylNufr04XzYMOt6SpSU6PdJJlmffiqXu+AC8VxqUT6bn3+uP9eGDfpn5Pff\nfWungDCv8pUff7R+HqR9x44Zb+/Xz/o47bYhQ9T1nDxZXpfeS97anfY/Vz4LgDD9kpZ9NXHS0rWr\n8bkDpXNn8+dpxw5hQlVUpD5m8mTOnU5xrL+MGxd8nbVtxaj+Rr/H2/m069OmmV9X+fnsM86TktTP\nnFG9pHuubKfKd2Vurm+//6OPjJ817Ucy5TOqv9lvUppF+QrA+Q03GO9bsYJzu11v0iZd7/Rp/6/3\nl78Y/94lS4y3K6/n7fffeKP/9TFDOueWLcE/8+EGPpqUeC1Q3z7RKHBLNnNawa+6Wl++Z0/fz639\n/Otf4vvKK62PueMO831KTp3SdxYDBxofN2CA2D98uFi//np5X2Wl9e+58krfft/hw5z/4Q/y+nXX\nie8ePeTzXnWV+hibzfp3Gu2bMcN439GjxvfGbleXmzxZDHoAznftUl9TsoU7csT4XHv3+vZfaH+H\nsoMyYt06ztesMd6n/a1m/wvnnH/1lX7byZOcf/utf/Vu3Fhefvhh9b59+7zXR2LGDOtn+OKL5Wf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pKmri6/IYLI75aOInbZL1vGbcjSbbo2HRKS1KRtyFzYbDP7GFVY58zxv3+77fz/c22mAMyF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\njj5eRkS+OmSdxpjHjDGPGGPGFSmfOdOSAUhKt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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t=sim.trange()\n", "\n", "figure(figsize=(12, 8))\n", "subplot(3, 1, 1)\n", "plot(t, sim.data[inp_p].T[0], c='k', label='Input')\n", "plot(t, sim.data[pre_p].T[0], c='b', label='Pre')\n", "plot(t, sim.data[post_p].T[0], c='r', label='Post')\n", "ylabel(\"Dimension 1\")\n", "legend(loc='best')\n", "title('Learn a nonlinear function')\n", " \n", "subplot(3, 1, 2)\n", "plot(t, sim.data[inp_p].T[1], c='k', label='Input')\n", "plot(t, sim.data[pre_p].T[1], c='b', label='Pre')\n", "plot(t, sim.data[post_p].T[1], c='r', label='Post')\n", "ylabel(\"Dimension 2\")\n", "legend(loc='best');\n", "\n", "subplot(3, 1, 3)\n", "plot(sim.trange(), sim.data[error_p], c='b')\n", "ylim(-1, 1)\n", "legend((\"Error[0]\", \"Error[1]\"), loc='best');\n", "title('Error')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "- This rule can be used to learn any nonlinear vector function\n", "- It does as well, or better, than the NEF decoder optimization\n", "- It's a 'spike-based' rule... meaning it works in a spiking network\n", "- It has been used for 'constant supervision' as well as 'reinforcement learning' (occasional supervision) tasks (Spaun uses it for the RL task)\n", "- It moves the focus of learning research from weight changes or 'learning rules' to error signals\n", "- Backprop is one way of propagating error signals (unfortunately not bio-plausible)\n", "- Pretty much ignores encoders (which should maybe be about capturing all the incoming information, so as to compute any function over that information... though they can be optimized for a given fcn as well)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Applications of PES\n", "### Classical conditioning\n", "\n", "- Classical or Pavlovian conditioning uses an unconditioned stimuli (US) (meat for a dog) that ellicits an unconditioned response (UR) (salivating) to cause a conditioned response (CR) (salivating after learning) to be ellicited by a conditioned stimulus (CS) (ringing a bell).\n", "\n", "- The best known model of this is the Rescorla-Wagner model that states:\n", "\n", "$\\Delta V_x = \\alpha (\\lambda - \\sum_x V)$ \n", "\n", "where $V_x$ is the value of conditioned stimulus $x$, $\\alpha$ is a learning rate and salience parameter, $\\lambda$ is the max value (usually 1). \n", "\n", "- In the model below there is only 1 element in $\\sum V$ (or you can assume there is little association between other stimuli and the US). The difference in brackets is like a reward prediction error." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "In this model: \n", "- There are three different US that are provided\n", "to the model, one after the other. \n", "- Each has a different hardwired\n", "UR.\n", "- There is also a CS provided (a different\n", "one for each US) \n", "- The model attempts to learn to trigger the correct\n", "CR in response to the CS. \n", "- After learning, the CR should start to respond *before* the corresponding UR." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "import nengo\n", "import numpy as np\n", "\n", "D = 3\n", "N = D*50\n", "\n", "def us_stim(t):\n", " # cycle through the three US\n", " t = t % 3\n", " if 0.9 < t< 1: return [1, 0, 0]\n", " if 1.9 < t< 2: return [0, 1, 0]\n", " if 2.9 < t< 3: return [0, 0, 1]\n", " return [0, 0, 0]\n", "\n", "def cs_stim(t):\n", " # cycle through the three CS\n", " t = t % 3\n", " if 0.7 < t< 1: return [0.7, 0, 0.5]\n", " if 1.7 < t< 2: return [0.6, 0.7, 0.8]\n", " if 2.7 < t< 3: return [0, 1, 0]\n", " return [0, 0, 0]\n", "\n", "model = nengo.Network(label=\"Classical Conditioning\")\n", "with model:\n", " us_stim = nengo.Node(us_stim)\n", " cs_stim = nengo.Node(cs_stim)\n", "\n", " us = nengo.Ensemble(N, D)\n", " cs = nengo.Ensemble(N*2, D*2)\n", "\n", " nengo.Connection(us_stim, us[:D])\n", " nengo.Connection(cs_stim, cs[:D])\n", " nengo.Connection(cs[:D], cs[D:], synapse=0.2)\n", "\n", " ur = nengo.Ensemble(N, D)\n", " nengo.Connection(us, ur)\n", " \n", " cr = nengo.Ensemble(N, D)\n", " learn_conn = nengo.Connection(cs, cr, function=lambda x: [0]*D)\n", " learn_conn.learning_rule_type = nengo.PES(learning_rate=3e-4)\n", "\n", " error = nengo.Ensemble(N, D)\n", " nengo.Connection(error, learn_conn.learning_rule)\n", " nengo.Connection(ur, error, transform=-1)\n", " nengo.Connection(cr, error, transform=1, synapse=0.1)\n", "\n", " stop_learn = nengo.Node([0])\n", " nengo.Connection(stop_learn, error.neurons, transform=-10*np.ones((N, 1)))" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "\n", "
\n", " \n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from nengo_gui.ipython import IPythonViz\n", "IPythonViz(model,'configs/learning2-conditioning.py.cfg')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Cortical Consolidation\n", "\n", "- There is evidence that when you first learn a skill, it takes a lot of effort and you tend to perform fairly slowly. \n", "- We would think of this as requiring a lot of intervention from the basal ganglia in selecting actions. \n", "- As you get better at the skill you become much faster, and BG is used less because cortex 'takes over' cental aspects of that skill, consolidating it into cortico-cortical connections. \n", "- The next model shows a toy version of this kind of behaviour.\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "In this model:\n", "- there is a slow mapping from pre->wm->target (because of long synaptic time constants) \n", "- there is a fast, direct connection from pre->post \n", "- the fast connection is trained using the error signal from the slow system\n", "- the fast system learns to produce the correct output before the slow system\n", "- if you change the 'context' the fast system will learn the output\n", "- there is a more complete model that uses this kind of thing (but with BG) in [Aubin et al., 2016](http://compneuro.uwaterloo.ca/publications/aubin2016a.html)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "import nengo\n", "import numpy as np\n", "\n", "tau_slow = 0.2\n", "\n", "model = nengo.Network(\"Cortical Consolidation\")\n", "with model:\n", " pre_value = nengo.Node(lambda t: np.sin(t))\n", " \n", " pre = nengo.Ensemble(100, 1)\n", " post = nengo.Ensemble(100, 1)\n", " target = nengo.Ensemble(100, 1)\n", " nengo.Connection(pre_value, pre)\n", "\n", " conn = nengo.Connection(pre, post, function=lambda x: np.random.random(),\n", " learning_rule_type=nengo.PES())\n", " \n", " wm = nengo.Ensemble(300, 2, radius=1.4)\n", " context = nengo.Node(1)\n", " nengo.Connection(context, wm[1])\n", " nengo.Connection(pre, wm[0], synapse=tau_slow)\n", " \n", " nengo.Connection(wm, target, synapse=tau_slow, \n", " function=lambda x: x[0]*x[1])\n", " \n", " error = nengo.Ensemble(n_neurons=100, dimensions=1)\n", " nengo.Connection(post, error, synapse=tau_slow*2, transform=1) #Delay the fast connection so they line up\n", " nengo.Connection(target, error, transform=-1)\n", " \n", " nengo.Connection(error, conn.learning_rule)\n", "\n", " stop_learn = nengo.Node([0])\n", " nengo.Connection(stop_learn, error.neurons, transform=-10*np.ones((100,1)))\n", " \n", " both = nengo.Node(None, size_in=2) #For plotting\n", " nengo.Connection(post, both[0], synapse=None)\n", " nengo.Connection(target, both[1], synapse=None)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "\n", "
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\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from nengo_gui.ipython import IPythonViz\n", "IPythonViz(model,'configs/learning3-consolidation.py.cfg')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Reinforcement Learning\n", "\n", "- As mentioned in the last lecture, RL is a useful way to think about action selection. \n", "- You have a set of actions and a set of states, and you figure out the value of each action in each state, letting you construct a big table $Q(s,a)$ which you can use to pick good actions. \n", "- RL figures out what those values are through trial and error. \n", "\n", "$\\Delta Q(s,a) = \\alpha (R + \\gamma Q_{predicted} - Q_{old})$ where $R$ is reward, $\\alpha$ is a learning rate and $\\gamma$ is a discount factor.\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "In the model:\n", "- the agent has three actions (go forward, turn left, and turn right)\n", "- its only sense are three range finders (radar) \n", "- initially it should always go forward\n", "- it gets reward proportial to its forward speed, but a large negative reward for hitting walls\n", "- the error signal is simply the difference between the computed utility and the instantaneous reward\n", "- $\\Delta Q(s,a) = \\alpha (R - Q_{current})$\n", "- this error will only be applied to whatever action is currently being chosen, which means it cannot learn to do actions that will lead to *future* rewards" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "import grid\n", "\n", "mymap=\"\"\"\n", "#########\n", "# #\n", "# #\n", "# ## #\n", "# ## #\n", "# #\n", "#########\n", "\n", "\"\"\"\n", "\n", "class Cell(grid.Cell):\n", " def color(self):\n", " return 'black' if self.wall else None\n", " def load(self, char):\n", " if char == '#':\n", " self.wall = True\n", "\n", "world = grid.World(Cell, map=mymap, directions=4)\n", "\n", "body = grid.ContinuousAgent()\n", "world.add(body, x=1, y=3, dir=2)\n", "\n", "import nengo\n", "import numpy as np \n", "\n", "def move(t, x):\n", " speed, rotation = x\n", " dt = 0.001\n", " max_speed = 20.0\n", " max_rotate = 10.0\n", " body.turn(rotation * dt * max_rotate)\n", " success = body.go_forward(speed * dt * max_speed)\n", " if not success: #Hit a wall\n", " return -1\n", " else:\n", " return speed\n", "\n", "model = nengo.Network(\"Simple RL\", seed=2)\n", "with model:\n", " env = grid.GridNode(world, dt=0.005)\n", " \n", " #set up node to project movement commands to\n", " movement_node = nengo.Node(move, size_in=2, label='reward')\n", " movement = nengo.Ensemble(n_neurons=100, dimensions=2, radius=1.4) \n", " nengo.Connection(movement, movement_node)\n", "\n", " def detect(t):\n", " #put sensors at -45 0 45 compared to facing direction\n", " angles = (np.linspace(-0.5, 0.5, 5) + body.dir ) % world.directions\n", " return [body.detect(d, max_distance=4)[0] for d in angles]\n", " stim_radar = nengo.Node(detect)\n", "\n", " #set up low fidelity sensors; noise might help exploration\n", " radar = nengo.Ensemble(n_neurons=50, dimensions=5, radius=4)\n", " nengo.Connection(stim_radar, radar)\n", " \n", " #set up BG to allow 3 actions (left/fwd/right)\n", " bg = nengo.networks.actionselection.BasalGanglia(3)\n", " thal = nengo.networks.actionselection.Thalamus(3)\n", " nengo.Connection(bg.output, thal.input)\n", " \n", " #start with a kind of random selection process, but like going fwd most\n", " def u_fwd(x):\n", " return 0.8\n", " def u_left(x):\n", " return 0.6\n", " def u_right(x):\n", " return 0.7\n", "\n", " conn_fwd = nengo.Connection(radar, bg.input[0], function=u_fwd, learning_rule_type=nengo.PES())\n", " conn_left = nengo.Connection(radar, bg.input[1], function=u_left, learning_rule_type=nengo.PES())\n", " conn_right = nengo.Connection(radar, bg.input[2], function=u_right, learning_rule_type=nengo.PES())\n", " \n", " nengo.Connection(thal.output[0], movement, transform=[[1],[0]])\n", " nengo.Connection(thal.output[1], movement, transform=[[0],[1]])\n", " nengo.Connection(thal.output[2], movement, transform=[[0],[-1]])\n", " \n", " errors = nengo.networks.EnsembleArray(n_neurons=50, n_ensembles=3)\n", " nengo.Connection(movement_node, errors.input, transform=-np.ones((3,1)))\n", " #inhibit learning for actions not currently chosen (recall BG is high for non-chosen actions)\n", " nengo.Connection(bg.output[0], errors.ensembles[0].neurons, transform=np.ones((50,1))*4) \n", " nengo.Connection(bg.output[1], errors.ensembles[1].neurons, transform=np.ones((50,1))*4) \n", " nengo.Connection(bg.output[2], errors.ensembles[2].neurons, transform=np.ones((50,1))*4) \n", " nengo.Connection(bg.input, errors.input, transform=1)\n", " \n", " nengo.Connection(errors.ensembles[0], conn_fwd.learning_rule)\n", " nengo.Connection(errors.ensembles[1], conn_left.learning_rule)\n", " nengo.Connection(errors.ensembles[2], conn_right.learning_rule)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vdom.v1+json": { "attributes": { "id": "96064106-6e24-42da-ab65-692fd3dc521a" }, "children": [ { "attributes": { "allowfullscreen": "allowfullscreen", "class": "cell", "frameborder": "0", "height": "600", "src": "./nengo/57228/?token=235960035a25c7221346a60bc1c4a86c0fed7360592c07d1", "style": { "border": "1px solid #eee", "boxSizing": "border-box" }, "width": "100%" }, "tagName": "iframe" } ], "tagName": "div" }, "text/html": [ "\n", "
\n", " \n", "
\n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from nengo_gui.ipython import IPythonViz\n", "IPythonViz(model,'configs/learning5-utility.py.cfg')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Better RL\n", "\n", "- To improve our RL it would be good to predict future rewards more accurately. \n", " - It would be good to learn the function $Q(s,a)$. \n", "- Let's assume that your policy is fixed, so future actions are fixed. \n", "- As well, future rewards are 90% as good as current rewards (i.e. they are discounted). \n", "- Consequently, we have:\n", "\n", "$Q(s,t) = R(s,t) + 0.9 R(s+1, t+1) + 0.9^2 R(s+2, t+2) + ...$.\n", "\n", "- So also,\n", "\n", "$Q(s+1,t+1) = R(s+1,t+1) + 0.9 R(s+2, t+2) + 0.9^2 R(s+3, t+3) + ...$.\n", "$0.9 Q(s+1,t+1) = 0.9 R(s+1,t+1) + 0.9^2 R(s+2, t+2) + 0.9^3 R(s+3, t+3) + ...$.\n", "\n", "- Substituting this last equation into the first gives \n", "\n", "$Q(s,t) = R(s,t) + 0.9 Q(s+1, t+1)$.\n", "\n", "- This suggests an error rule: \n", "\n", "$Error(t) = Q(s-1) - (R(s-1) + 0.9 Q(s))$\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "In this model:\n", "- the agent always moves randomly, it's not *using* what\n", "it learns to change its movement (it is just trying to anticipate future rewards)\n", "- the agent is given a reward whenever it is in the green square, and a \n", "punishment (negative reward) whenever it is in the red square \n", "- it learns to anticipate the reward/punishment as shown in the value graph\n", "- we convert the error rule into the continuous domain by using a long time constant for s-1\n", "and a short time constant for s (assuming we switch states at each time step)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "import grid\n", "\n", "mymap=\"\"\"\n", "#######\n", "# #\n", "# # # #\n", "# # # #\n", "#G R#\n", "#######\n", "\"\"\"\n", "\n", "class Cell(grid.Cell):\n", " def color(self):\n", " if self.wall:\n", " return 'black'\n", " elif self.reward > 0:\n", " return 'green'\n", " elif self.reward < 0:\n", " return 'red'\n", " return None\n", " def load(self, char):\n", " self.reward = 0\n", " if char == '#':\n", " self.wall = True\n", " if char == 'G':\n", " self.reward = 10\n", " elif char == 'R':\n", " self.reward = -10\n", "\n", "world = grid.World(Cell, map=mymap, directions=4)\n", "\n", "body = grid.ContinuousAgent()\n", "world.add(body, x=1, y=2, dir=2)\n", "\n", "import nengo\n", "import numpy as np \n", "\n", "tau=0.1\n", "\n", "def move(t, x):\n", " speed, rotation = x\n", " dt = 0.001\n", " max_speed = 20.0\n", " max_rotate = 10.0\n", " body.turn(rotation * dt * max_rotate)\n", " body.go_forward(speed * dt * max_speed)\n", " \n", " if int(body.x) == 1:\n", " world.grid[4][4].wall = True\n", " world.grid[4][2].wall = False\n", " if int(body.x) == 4:\n", " world.grid[4][2].wall = True\n", " world.grid[4][4].wall = False\n", "\n", "model = nengo.Network(\"Predict Value\", seed=2)\n", "with model:\n", " env = grid.GridNode(world, dt=0.005)\n", "\n", " movement = nengo.Node(move, size_in=2)\n", " \n", " def detect(t):\n", " angles = (np.linspace(-0.5, 0.5, 3) + body.dir) % world.directions\n", " return [body.detect(d, max_distance=4)[0] for d in angles]\n", " stim_radar = nengo.Node(detect)\n", " radar = nengo.Ensemble(n_neurons=50, dimensions=3, radius=4, seed=2,\n", " noise=nengo.processes.WhiteSignal(10, 0.1, rms=1))\n", " nengo.Connection(stim_radar, radar)\n", "\n", " def braiten(x):\n", " turn = x[2] - x[0]\n", " spd = x[1] - 0.5\n", " return spd, turn\n", " nengo.Connection(radar, movement, function=braiten) \n", " \n", " def position_func(t):\n", " return body.x / world.width * 2 - 1, 1 - body.y/world.height * 2, body.dir / world.directions\n", " position = nengo.Node(position_func)\n", " state = nengo.Ensemble(100, 3)\n", " nengo.Connection(position, state, synapse=None)\n", " \n", " reward = nengo.Node(lambda t: body.cell.reward)\n", " \n", " value = nengo.Ensemble(n_neurons=50, dimensions=1)\n", "\n", " learn_conn = nengo.Connection(state, value, function=lambda x: 0,\n", " learning_rule_type=nengo.PES(learning_rate=1e-4,\n", " pre_tau=tau))\n", " nengo.Connection(reward, learn_conn.learning_rule, \n", " transform=-1, synapse=tau)\n", " nengo.Connection(value, learn_conn.learning_rule, \n", " transform=-0.9, synapse=0.01)\n", " nengo.Connection(value, learn_conn.learning_rule, \n", " transform=1, synapse=tau)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vdom.v1+json": { "attributes": { "id": "ad7c1224-e306-4bb9-94eb-0c03330baedb" }, "children": [ { "attributes": { "allowfullscreen": "allowfullscreen", "class": "cell", "frameborder": "0", "height": "600", "src": "./nengo/57400/?token=80b122ab7f742fba00f5c03577285c771e0b8037f41fd556", "style": { "border": "1px solid #eee", "boxSizing": "border-box" }, "width": "100%" }, "tagName": "iframe" } ], "tagName": "div" }, "text/html": [ "\n", "
\n", " \n", "
\n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from nengo_gui.ipython import IPythonViz\n", "IPythonViz(model,'configs/learning6-value.py.cfg')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Unsupervised learning\n", "\n", "- Hebbian learning\n", " - Neurons that fire together, wire together\n", " - $\\Delta \\omega_{ij} = \\kappa a_i a_j$\n", " - Just that would be unstable\n", " - Why?\n", "\n", " " ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "- BCM rule (Bienenstock, Cooper, & Munro, 1982)\n", " - $\\Delta \\omega_{ij} = \\kappa a_i a_j (a_j-\\theta)$\n", " - $\\theta$ is an activity threshold\n", " - If post-synaptic neuron is more active than this threshold, increase strength\n", " - Otherwise decrease it\n", " - Other than that, it's a standard Hebbian rule\n", " - Where would we get $\\theta$?\n", " - Need to store something about the overall recent activity of neuron $j$ so it can be compared to its current activity\n", " - Just have $\\theta$ be a pstc-filtered spiking of $a_j$ " ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Building finished in 0:00:01. \n", "Simulating finished in 0:00:01. \n" ] } ], "source": [ "import nengo\n", "import numpy as np\n", "\n", "model = nengo.Network()\n", "with model:\n", " sin = nengo.Node(lambda t: np.sin(t*4))\n", " \n", " pre = nengo.Ensemble(100, dimensions=1)\n", " post = nengo.Ensemble(100, dimensions=1)\n", "\n", " nengo.Connection(sin, pre)\n", " conn = nengo.Connection(pre, post, solver=nengo.solvers.LstsqL2(weights=True))\n", "\n", " pre_p = nengo.Probe(pre, synapse=0.01)\n", " post_p = nengo.Probe(post, synapse=0.01)\n", "\n", "sim = nengo.Simulator(model)\n", "sim.run(2.0)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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reeKNdSiHaO32fbRd+UJgMTHZnTCmTB695ITAgl3tFffuf/zJwMIpt0H1hu6E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\n25f8PfEzEmc9QXazXqRc8anLyU2sCPW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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot(sim.trange(), sim.data[pre_p], label=\"Pre\")\n", "plot(sim.trange(), sim.data[post_p], label=\"Post\")\n", "ylabel(\"Decoded value\")\n", "legend(loc=\"best\");" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Building finished in 0:00:01. \n", "Simulating finished in 0:00:11. \n" ] } ], "source": [ "conn.learning_rule_type = nengo.BCM(learning_rate=5e-10)\n", "\n", "with model:\n", " trans_p = nengo.Probe(conn, 'weights', synapse=0.01, sample_every=0.01)\n", "\n", "sim = nengo.Simulator(model)\n", "sim.run(20.0)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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0HZca77ya8ZTnpzQ/BxDGeD6iyyVSQ4IPtGkixSt5Oo+PEhWPMcpZlJ1r2DO8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\niUQikQURxXgkEolEIpFIJLIg/n+IhaGb4XTt3AAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "figure(figsize=(12, 8))\n", "subplot(2, 1, 1)\n", "plot(sim.trange(), sim.data[pre_p], label=\"Pre\")\n", "plot(sim.trange(), sim.data[post_p], label=\"Post\")\n", "ylabel(\"Decoded value\")\n", "ylim(-1.6, 1.6)\n", "legend(loc=\"lower left\")\n", "\n", "subplot(2, 1, 2)\n", "# Find weight row with max variance\n", "neuron = np.argmax(np.mean(np.var(sim.data[trans_p], axis=0), axis=1))\n", "plot(sim.trange(dt=0.01), sim.data[trans_p][..., neuron])\n", "ylabel(\"Connection weight\");" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Starting sparsity: 0.1774754410346847\n", "Ending sparsity: 0.42159758311458473\n" ] } ], "source": [ "def sparsity_measure(vector):\n", " # Max sparsity = 1 (single 1 in the vector)\n", " v = np.sort(np.abs(vector))\n", " n = v.shape[0]\n", " k = np.arange(n) + 1\n", " l1norm = np.sum(v)\n", " summation = np.sum((v / l1norm) * ((n - k + 0.5) / n))\n", " return 1 - 2 * summation\n", "\n", "print(\"Starting sparsity: {0}\".format(sparsity_measure(sim.data[trans_p][0])))\n", "print(\"Ending sparsity: {0}\".format(sparsity_measure(sim.data[trans_p][-1])))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "- Result: only a few neurons will fire\n", " - Sparsification\n", "- What would this do in NEF terms? \n", " - Still represent $x$, but with very sparse encoders (assuming the function doesn't change)\n", "- This is still a rule on the weight matrix, but functionally seems to be more about encoders than decoders\n", " - What could we do, given that? " ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## The homeostatic Prescribed Error Sensitivity (hPES) rule\n", "\n", "- Just do them both [(Bekolay et al., 2013)](http://compneuro.uwaterloo.ca/publications/bekolay2013.html)\n", "- And have a parameter $S$ to adjust how much of each\n", "\n", "$\\Delta \\omega_{ij} = \\kappa a_i (\\alpha_j S e_j \\cdot E + (1-S) a_j (a_j-\\theta))$\n", "\n", "- Works as well (or better) than PES\n", " - Seems to be a bit more stable, but analysis is ongoing\n", "- Biological evidence?\n", " - Spike-Timing Dependent Plasticity\n", "\n", "\n", "\n", "\n", "\n", "- Still work to do for comparison, but seems promising\n", "- Error-driven for improving decoders\n", "- Hebbian sparsification to improve encoders\n", " - Perhaps to sparsify connections (energy savings in the brain, but not necessarily in simulation)\n", " \n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.1" }, "livereveal": { "scroll": true, "start_slideshow_at": "selected" } }, "nbformat": 4, "nbformat_minor": 1 }