model of DCN pyramidal neuron
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"""
test_simple_synapses
Test synapses between cell types.
Usage:
python test_synapses.py <pre_celltype> <post_celltype>
Supported cell types: sgc, bushy, tstellate, dstellate, tuberculoventral, pyramidal
"""
import sys
import pyqtgraph as pg
from cnmodel.protocols.simple_synapse_test import SimpleSynapseTest
from cnmodel import cells
from cnmodel.synapses import Synapse
def runtest():
if len(sys.argv) < 3:
print("Usage: python test_synapses.py <pre_celltype> <post_celltype>")
print(
" Supported cell types: sgc, bushy, tstellate, dstellate, tuberculoventral, pyramidal"
)
sys.exit(1)
convergence = {
"sgc": {
"bushy": 1,
"tstellate": 6,
"dstellate": 10,
"dstellate_eager": 10,
"tuberculoventral": 6,
"pyramidal": 5,
},
"dstellate": {
"bushy": 10,
"tstellate": 15,
"dstellate": 5,
"tuberculoventral": 10,
"pyramidal": 10,
},
"tuberculoventral": {
"bushy": 6,
"tstellate": 3,
"dstellate": 0,
"tuberculoventral": 2,
"pyramidal": 10,
},
}
c = []
for cellType in sys.argv[1:3]:
if cellType == "sgc":
cell = cells.SGC.create()
elif cellType == "tstellate":
cell = cells.TStellate.create(debug=True, ttx=False)
elif (
cellType == "dstellate"
): # Type I-II Rothman model, similiar excitability (Xie/Manis, unpublished)
cell = cells.DStellate.create(model="RM03", debug=True, ttx=False)
elif cellType == "dstellate_eager": # From Eager et al.
cell = cells.DStellate.create(model="Eager", debug=True, ttx=False)
elif cellType == "bushy":
cell = cells.Bushy.create(debug=True, ttx=True)
elif cellType == "tuberculoventral":
cell = cells.Tuberculoventral.create(debug=True, ttx=False)
elif cellType == "pyramidal":
cell = cells.Pyramidal.create(debug=True, ttx=False)
else:
raise ValueError("Unknown cell type '%s'" % cellType)
c.append(cell)
preCell, postCell = c
nTerminals = convergence.get(sys.argv[1], {}).get(sys.argv[2], None)
if nTerminals is None:
nTerminals = 1
print(
"Warning: Unknown convergence for %s => %s, assuming %d"
% (sys.argv[1], sys.argv[2], nTerminals)
)
if sys.argv[1:3] == ["sgc", "bushy"]:
niter = 1
else:
niter = 20
st = SimpleSynapseTest()
st.run(preCell.soma, postCell.soma, iterations=niter)
st.show()
return st # keep in memory
if __name__ == "__main__":
r = runtest()
print("runtest done")
if sys.flags.interactive == 0:
pg.QtGui.QApplication.exec_()