def addNMDASynapse(self, loc, tau, tau_nmda, e_r=0., nmda_ratio=1.7):
"""
Adds a single-exponential conductance-based synapse with an AMPA and an
NMDA component
Parameters
----------
loc: dict, tuple or :class:`neat.MorphLoc`
The location of the current.
tau: float
Decay time of the AMPA conductance window (ms)
tau_nmda: float
Decay time of the NMDA conductance window (ms)
e_r: float (optional, default ``0.`` mV)
Reversal potential of the synapse (mV)
nmda_ratio: float (optional, default 1.7)
The ratio of the NMDA over AMPA component. Means that the maximum of
the NMDA conductance window is ``nmda_ratio`` times the maximum of
the AMPA conductance window.
"""
loc = MorphLoc(loc, self)
# create the synapse
syn = h.exp_AMPA_NMDA(self.sections[loc['node']](loc['x']))
syn.tau = tau
syn.tau_NMDA = tau_nmda
syn.e = e_r
syn.NMDA_ratio = nmda_ratio
# store the synapse
self.syns.append(syn)
def addExpSyn(self, loc, tau, e_r):
loc = MorphLoc(loc, self)
# create the synapse
syn = h.exp_AMPA_NMDA(self.sections[loc['node']](loc['x']))
syn.tau = tau
syn.e = e_r
# store the synapse
self.syns.append(syn)
def addNMDASynapse(self, loc, tau, tau_nmda, e_r=0., nmda_ratio=1.7):
loc = MorphLoc(loc, self)
# create the synapse
syn = h.exp_AMPA_NMDA(self.sections[loc['node']](loc['x']))
syn.tau = tau
syn.tau_NMDA = tau_nmda
syn.e = e_r
syn.NMDA_ratio = nmda_ratio
# store the synapse
self.syns.append(syn)
def addExpSyn(self, loc, tau, e_r):
"""
Adds a single-exponential conductance-based synapse
Parameters
----------
loc: dict, tuple or :class:`neat.MorphLoc`
The location of the current.
tau: float
Decay time of the conductance window (ms)
e_r: float
Reversal potential of the synapse (mV)
"""
loc = MorphLoc(loc, self)
# create the synapse
syn = h.exp_AMPA_NMDA(self.sections[loc['node']](loc['x']))
syn.tau = tau
syn.e = e_r
# store the synapse
self.syns.append(syn)