{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "execution": {},
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/tutorials/Module_WrapUps/StochasticProcesses.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a> &nbsp; <a href=\"https://kaggle.com/kernels/welcome?src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/tutorials/Module_WrapUps/StochasticProcesses.ipynb\" target=\"_parent\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open in Kaggle\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {},
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Stochastic Processes Wrap-Up\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "## Podcast Panel Discussion\n",
    "\n",
    "Neuromatch Academy has collaborated with Paul Middlebrooks of the podcast Brain Inspired to host a series of panel discussions on the content modules. \n",
    "\n",
    "This third session covers the Stochastic Processes module, featuring panelists [Yael Niv](https://nivlab.princeton.edu/), [Konrad Kording](http://koerding.com/), [Sam Gershman](https://gershmanlab.com/), and [Tim Behrens](https://www.ndcn.ox.ac.uk/team/timothy-behrens). \n",
    "\n",
    "Listen [here](https://braininspired.co/podcast/nma-3/) or in the embedded audio below!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# @markdown\n",
    "from IPython.display import IFrame\n",
    "\n",
    "IFrame(src = 'https://braininspired.castos.com/player/569670', width = '100%', height = '150')"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "include_colab_link": true,
   "name": "StochasticProcesses",
   "provenance": [],
   "toc_visible": true
  },
  "kernel": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "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": "3.9.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}