def __init__(self,
syn_type,
syn_shape,
tau_m=20,
c_m=1.0,
v_rest=-65,
v_thresh=-55,
t_refrac=2,
i_offset=0,
tau_e=5,
tau_i=5,
e_e=0,
e_i=-70,
v_spike=0.0,
v_reset=-70.6,
A=4.0,
B=0.0805,
tau_w=144.0,
delta=2.0):
LeakySingleCompartmentNeuron.__init__(self, syn_type, syn_shape, tau_m,
c_m, v_rest, i_offset, tau_e,
tau_i, e_e, e_i)
# insert Brette-Gerstner spike mechanism
self.adexp = h.AdExpIF(0.5, sec=self)
self.source = self.seg._ref_v
self.parameter_names = [
'c_m', 'tau_m', 'v_rest', 'v_thresh', 't_refrac', 'i_offset',
'v_reset', 'tau_e', 'tau_i', 'A', 'B', 'tau_w', 'delta', 'v_spike'
]
if syn_type == 'conductance':
self.parameter_names.extend(['e_e', 'e_i'])
self.set_parameters(locals())
self.w_init = None
def define_biophysics(self):
self.soma.insert('pas')
self.soma.g_pas = 1e-4
# Exponential nonlinearity
self.adexp = h.AdExpIF(self.soma(0.5))
self.soma.e_pas = self.adexp.EL
self.adexp.GL = self.soma.g_pas * self.soma.L * self.soma.diam * h.PI
