# izhikevich_tutorial_neuron
# ##########################         
# 
# 
# Copyright statement
# +++++++++++++++++++
# 
# This file is part of NEST.
# 
# Copyright (C) 2004 The NEST Initiative
# 
# NEST is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
# 
# NEST is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
# 
# You should have received a copy of the GNU General Public License
# along with NEST.  If not, see <http://www.gnu.org/licenses/>.
#
model izhikevich_tutorial_neuron:

    state:
        v mV = -65 mV    # Membrane potential in mV

        # TODO: add new variable u with the type real
        # NESTML syntax for variables: variable_name type = initial_value

    equations:
        v' = (.04 * v * v / mV + 5 * v + (140 - u) * mV + (I_e * GOhm)) / ms
        # TODO: add an ODE for u

    parameters:
        a real = .02    # describes time scale of recovery variable
        # TODO: add remaining variables

    input:
        spikes <- spike
        I_e pA <- continuous

    output:
        spike

    update:
        integrate_odes()

    onReceive(spikes):
        # add synaptic current
        v += spikes * mV * s

    onCondition(v >= 30mV):
        # TODO: implement threshold crossing check

        # use an if-condition block. The NESTML syntax looks like:
        # if a >= b:
        #     a += b
        #     b = a
        #     emit_spike()