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Commit 0015fd23 authored by HarshaRani's avatar HarshaRani
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# intfire.py ---
#
# Filename: intfire.py
# Description:
# Author:Subhasis Ray
# Maintainer:
# Created: Thu Jun 21 16:40:25 2012 (+0530)
# Version:
# Last-Updated: Sat Jun 23 13:44:10 2012 (+0530)
# By: subha
# Update #: 35
# URL:
# Keywords:
# Compatibility:
#
#
# Commentary:
#
# Code snippet to show some operations on IntFire.
#
#
# Change log:
#
#
#
#
# This program 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 3, or
# (at your option) any later version.
#
# This program 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 this program; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street, Fifth
# Floor, Boston, MA 02110-1301, USA.
#
#
# Code:
import moose
def connect_two_intfires():
"""
Connect two IntFire neurons so that spike events in one gets
transmitted to synapse of the other.
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"""
if1 = moose.IntFire('if1')
if2 = moose.IntFire('if2')
sf1 = moose.SimpleSynHandler( 'if1/sh' )
moose.connect( sf1, 'activationOut', if1, 'activation' )
sf1.synapse.num = 1
syn1 = moose.element(sf1.synapse)
# Connect the spike message of if2 to the first synapse on if1
moose.connect(if2, 'spikeOut', syn1, 'addSpike')
def connect_spikegen():
"""
Connect a SpikeGen object to an IntFire neuron such that spike
events in spikegen get transmitted to the synapse of the IntFire
neuron.
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"""
if3 = moose.IntFire('if3')
=======
if3 = moose.IntFire('if3')
"""
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sf3 = moose.SimpleSynHandler( 'if3/sh' )
moose.connect( sf3, 'activationOut', if3, 'activation' )
sf3.synapse.num = 1
sg = moose.SpikeGen('sg')
syn = moose.element(sf3.synapse)
moose.connect(sg, 'spikeOut', syn, 'addSpike')
def setup_synapse():
"""
Create an intfire object and create two synapses on it.
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"""
if4 = moose.IntFire('if4')
sf4 = moose.SimpleSynHandler( 'if4/sh' )
sg1 = moose.SpikeGen('sg1')
sg2 = moose.SpikeGen('sg2')
sf4.synapse.num = 2 # set synapse count to 2
sf4.synapse[0].weight = 0.5
sf4.synapse[0].delay = 1e-3
sf4.synapse[1].weight = 2.0
sf4.synapse[1].delay = 2e-3
moose.connect(sg1, 'spikeOut', sf4.synapse[0], 'addSpike')
moose.connect(sg2, 'spikeOut', sf4.synapse[1], 'addSpike')
def main():
"""
Demonstrates connection between 2 IntFire neurons to observe
spike generation.
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"""
connect_two_intfires()
connect_spikegen()
setup_synapse()
if __name__ == '__main__':
main()
#
# intfire.py ends here
# loadKineticModel.py ---
#
# Filename: loadKineticModel.py
# Description:
# Author: Upi Bhalla
# Maintainer:
# Created: Sat Oct 04 12:14:15 2014 (+0530)
# Version:
# Last-Updated:
# By:
# Update #: 0
# URL:
# Keywords:
# Compatibility:
#
#
# Commentary:
#
#
#
#
# Change log:
#
#
#
#
# This program 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 3, or
# (at your option) any later version.
#
# This program 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 this program; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street, Fifth
# Floor, Boston, MA 02110-1301, USA.
#
#
# Code:
import moose
import pylab
import numpy
import sys
def main():
"""
This example illustrates loading, running, and saving a kinetic
model defined in kkit format. It uses a default kkit model but
you can specify another using the command line
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``python filename runtime solver``.
=======
``python filename runtime solver``.
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We use the gsl solver here.
The model already defines a couple of plots and sets the runtime 20 secs.
"""
solver = "gsl" # Pick any of gsl, gssa, ee..
mfile = '../genesis/kkit_objects_example.g'
runtime = 20.0
if ( len( sys.argv ) >= 3 ):
if sys.argv[1][0] == '/':
mfile = sys.argv[1]
else:
mfile = '../genesis/' + sys.argv[1]
runtime = float( sys.argv[2] )
if ( len( sys.argv ) == 4 ):
solver = sys.argv[3]
modelId = moose.loadModel( mfile, 'model', solver )
# Increase volume so that the stochastic solver gssa
# gives an interesting output
#compt = moose.element( '/model/kinetics' )
#compt.volume = 1e-19
moose.reinit()
moose.start( runtime )
# Display all plots.
for x in moose.wildcardFind( '/model/#graphs/conc#/#' ):
t = numpy.arange( 0, x.vector.size, 1 ) * x.dt
pylab.plot( t, x.vector, label=x.name )
pylab.legend()
pylab.show()
quit()
# Run the 'main' if this script is executed standalone.
if __name__ == '__main__':
main()
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