def Bg2Pyr(syn_params, sec_x, sec_id):
"""Create a bg2pyr synapse
:param syn_params: parameters of a synapse
:param sec_x: normalized distance along the section
:param sec_id: target section
:return: NEURON synapse object
"""
lsyn = h.bg2pyr(sec_x, sec=sec_id)
if syn_params.get('initW'):
lsyn.initW = float(syn_params['initW'])
if syn_params.get('taun1'):
lsyn.taun1 = float(syn_params['taun1'])
if syn_params.get('taun2'):
lsyn.taun2 = float(syn_params['taun2'])
if syn_params.get('gNMDAmax'):
lsyn.gNMDAmax = float(syn_params['gNMDAmax'])
if syn_params.get('enmda'):
lsyn.enmda = float(syn_params['enmda'])
if syn_params.get('taua1'):
lsyn.taua1 = float(syn_params['taua1'])
if syn_params.get('taua2'):
lsyn.taua2 = float(syn_params['taua2'])
if syn_params.get('gAMPAmax'):
lsyn.gAMPAmax = float(syn_params['gAMPAmax'])
if syn_params.get('eampa'):
lsyn.eampa = float(syn_params['eampa'])
return lsyn
def Bg2Pyr(syn_params, sec_x, sec_id):
"""Create a bg2pyr synapse
:param syn_params: parameters of a synapse
:param sec_x: normalized distance along the section
:param sec_id: target section
:return: NEURON synapse object
"""
lsyn = h.bg2pyr(sec_x, sec=sec_id)
if syn_params.get('initW'):
lsyn.initW = float(syn_params['initW'])
elif syn_params.get('initW_lognormal_mean') and syn_params.get('initW_lognormal_std'):
lsyn.initW = lognorm(syn_params['initW_lognormal_mean'],syn_params['initW_lognormal_std'])
return lsyn
def bg2PN(syn_params, sec_x, sec_id):
lsyn = h.bg2pyr(sec_x, sec=sec_id)
if syn_params.get('initW'):
lsyn.initW = float(syn_params['initW'])
return lsyn