# synapse.py ---
#
# Filename: synapse.py
# Description:
# Author:Upi Bhalla
# Maintainer:
# Created: Sat Jun 29 11:32:29 2013 (+0530)
# Version:
# Last-Updated: Thu Oct 2 2014 (+0530)
# By: Upi
# URL:
# Keywords:
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# Commentary:
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# Change log:
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# 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.
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# 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.
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# Code:
from __future__ import print_function
import moose
def many_ematrix_to_one_element():
model = moose.Neutral('/model')
# data = moose.Neutral('/data')
synchan = moose.SynChan('/model/synchan')
synh = moose.SimpleSynHandler( '/model/synchan/synh' )
moose.connect( synh, 'activationOut', synchan, 'activation' )
synh.synapse.num = 2
num_spikegen = 5
spikegens = [moose.SpikeGen('/model/spikegen_%d' % (ii)) for ii in range(num_spikegen)]
for ii in range(num_spikegen):
msg = moose.connect(spikegens[ii], 'spikeOut', synh.synapse[ii%2], 'addSpike')
# synchan.synapse[ii].delay = ii * 1e-3
# synchan.synapse[ii].weight = (ii+1) * 0.1
for sg in spikegens:
print(sg.path, '-->', end=' ')
for m in sg.msgOut:
print(moose.element(m).adjacent[sg].path)
[docs]def main():
"""
This is an example of event messages from multiple SpikeGen objects
into a synchan.
Create a SynChan element with 2 elements in synapse field.
Create 5 SpikeGen elements.
Connect alternet SpikeGen elements to synapse[0] and synapse[1]
... This is a minimal example. In real simulations the SpikeGens
will be embedded in compartments representing axon terminals and
the SynChans will be embedded in somatic/dendritic compartments.
"""
many_ematrix_to_one_element()
if __name__ == '__main__':
main()
#
# synapse.py ends here