AdExIF

class AdExIF

Leaky Integrate-and-Fire neuron with Exponential spike rise and adaptation via an adapting current w.Rm*Cm * dVm/dt = -(Vm-Em) + deltaThresh * exp((Vm-thresh)/deltaThresh) + Rm*I - w tau_w * d w /dt = a0*(Vm-Em) - w at each spike, w -> w + b0

setW()

(destination message field) Assigns field value.

getW()

(destination message field) Requests field value. The requesting Element must provide a handler for the returned value.

setTauW()

(destination message field) Assigns field value.

getTauW()

(destination message field) Requests field value. The requesting Element must provide a handler for the returned value.

setA0()

(destination message field) Assigns field value.

getA0()

(destination message field) Requests field value. The requesting Element must provide a handler for the returned value.

setB0()

(destination message field) Assigns field value.

getB0()

(destination message field) Requests field value. The requesting Element must provide a handler for the returned value.

w

double (value field) adaptation current with time constant tauW

tauW

double (value field) time constant of adaptation current w

a0

double (value field) factor for voltage-dependent term in evolution of adaptation current: tau_w dw/dt = a0*(Vm-Em) - w

b0

double (value field) b0 is added to w, the adaptation current on each spike