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from neuron import h
from bmtk.simulator.bionet.pyfunction_cache import add_synapse_model
from bmtk.simulator.bionet.nrn import *
[docs]def exp2syn(syn_params, xs, secs):
"""Create a list of exp2syn synapses
:param syn_params: parameters of a synapse
:param xs: list of normalized distances along the section
:param secs: target sections
:return: list of NEURON synpase objects
"""
syns = []
for x, sec in zip(xs, secs):
syn = h.Exp2Syn(x, sec=sec)
syn.e = syn_params['erev']
syn.tau1 = syn_params['tau1']
syn.tau2 = syn_params['tau2']
syns.append(syn)
return syns
[docs]def Exp2Syn(syn_params, sec_x, sec_id):
"""Create a list of exp2syn synapses
:param syn_params: parameters of a synapse
:param sec_x: normalized distance along the section
:param sec_id: target section
:return: NEURON synapse object
"""
syn = h.Exp2Syn(sec_x, sec=sec_id)
syn.e = syn_params['erev']
syn.tau1 = syn_params['tau1']
syn.tau2 = syn_params['tau2']
return syn
[docs]@synapse_model
def stp1syn(syn_params, xs, secs):
syns = []
for x, sec in zip(xs, secs):
syn = h.stp1syn(x, sec=sec)
syn.e = syn_params["erev"]
syn.p0 = 0.5
syn.tau_r = 200
syn.tau_1 = 5
syns.append(syn)
return syns
[docs]@synapse_model
def stp2syn(syn_params, x, sec):
syn = h.stp2syn(x, sec=sec)
syn.e = syn_params["erev"]
syn.p0 = syn_params["p0"]
syn.tau_r0 = syn_params["tau_r0"]
syn.tau_FDR = syn_params["tau_FDR"]
syn.tau_1 = syn_params["tau_1"]
return syn
[docs]@synapse_model
def stp3syn(syn_params, xs, secs):
syns = []
for x, sec in zip(xs, secs):
syn = h.stp3syn(x, sec=sec) # temporary
syn.e = syn_params["erev"]
syn.p0 = 0.6
syn.tau_r0 = 200
syn.tau_FDR = 2000
syn.tau_D = 500
syn.tau_1 = 5
syns.append(syn)
return syns
[docs]@synapse_model
def stp4syn(syn_params, xs, secs):
syns = []
for x, sec in zip(xs, secs):
syn = h.stp4syn(x, sec=sec)
syn.e = syn_params["erev"]
syn.p0 = 0.6
syn.tau_r = 200
syn.tau_1 = 5
syns.append(syn)
return syns
[docs]@synapse_model
def stp5syn(syn_params, x, sec): # temporary
syn = h.stp5syn(x, sec=sec)
syn.e = syn_params["erev"]
syn.tau_1 = syn_params["tau_1"]
syn.tau_r0 = syn_params["tau_r0"]
syn.tau_FDR = syn_params["tau_FDR"]
syn.a_FDR = syn_params["a_FDR"]
syn.a_D = syn_params["a_D"]
syn.a_i = syn_params["a_i"]
syn.a_f = syn_params["a_f"]
syn.pbtilde = syn_params["pbtilde"]
return syn
[docs]def stp5isyn(syn_params, xs, secs): # temporary
syns = []
for x, sec in zip(xs, secs):
syn = h.stp5isyn(x, sec=sec)
syn.e = syn_params["erev"]
syn.tau_1 = syn_params["tau_1"]
syn.tau_r0 = syn_params["tau_r0"]
syn.tau_FDR = syn_params["tau_FDR"]
syn.a_FDR = syn_params["a_FDR"]
syn.a_D = syn_params["a_D"]
syn.a_i = syn_params["a_i"]
syn.a_f = syn_params["a_f"]
syn.pbtilde = syn_params["pbtilde"]
syns.append(syn)
return syns
[docs]@synapse_model
def tmgsyn(syn_params, xs, secs):
syns = []
for x, sec in zip(xs, secs):
syn = h.tmgsyn(x, sec=sec)
syn.e = syn_params["erev"]
syn.tau_1 = syn_params["tau_1"]
syn.tau_rec = syn_params["tau_rec"]
syn.tau_facil = syn_params["tau_facil"]
syn.U = syn_params["U"]
syn.u0 = syn_params["u0"]
syns.append(syn)
return syns
[docs]@synapse_model
def expsyn(syn_params, x, sec):
"""Create a list of expsyn synapses
:param syn_params: parameters of a synapse (dict)
:param x: normalized distance along the section (float)
:param sec: target section (hoc object)
:return: synapse objects
"""
syn = h.ExpSyn(x, sec=sec)
syn.e = syn_params['erev']
syn.tau = syn_params["tau1"]
return syn
[docs]@synapse_model
def exp1syn(syn_params, xs, secs):
syns = []
for x, sec in zip(xs, secs):
syn = h.exp1syn(x, sec=sec)
syn.e = syn_params['erev']
syn.tau = syn_params["tau_1"]
syns.append(syn)
return syns
[docs]@synapse_model
def exp1isyn(syn_params, xs, secs):
syns = []
for x, sec in zip(xs, secs):
syn = h.exp1isyn(x, sec=sec)
syn.e = syn_params['erev']
syn.tau = syn_params["tau_1"]
syns.append(syn)
return syns
add_synapse_model(Exp2Syn, 'exp2syn', overwrite=False)
add_synapse_model(Exp2Syn, overwrite=False)
