Izhi_Neuron
Subsections

Izhi_Neuron

see Izhikevich E. "Simple model of Spiking Neurons"

Model

A canonical neuron model is implemented where the membrane potential Vm of a neuron is given by

, Rm is the membrane resistance, Isyn(t) is the current supplied by the synapses, Iinject is a non-specific background current and Inoise is a Gaussion random variable with zero mean and a given variance noise.

At time t=0 Vm ist set to Vinit . If Vm exceeds the threshold voltage Vthresh it is reset to Vreset and hold there for the length Trefract of the absolute refractory period.

Implementation

The simple Euler method is used for numerical integration.

Read/writable Fields

Cm (F) :
The membrane capacity Cm
Rm (Ohm) :
The membrane resistance Rm
Vthresh (V) :
If Vm exceeds Vthresh a spike is emmited.
Vresting (V) :
The resting membrane voltage.
Vreset (V) :
The voltage to reset Vm to after a spike.
Vinit (V) :
The initial condition for Vm at time t=0.
Trefract (sec) :
The length of the absolute refractory period.
Inoise (A) :
The standard deviation of the noise to be added each integration time constant.
Iinject (A) :
A constant current to be injected into the LIF neuron.
a :
A constant (0.02, 01) describing the coupling of variable u to Vm;.
b :
A constant controlling sensitivity og u.
c :
A constant controlling reset of Vm (1000*Vreset).
d :
A constant controlling reset of u.
type :
Type (e.g. inhibitory or excitatory) of the neuron

Readonly Fields

Vm (V) :
The membrane voltage Vm
Vb :
The membrane voltage in millivolt.
Vint :
The membrane voltage in millivolt.
u :
internal variable
ub :
The internal variable u adapted to millivolt and millisecond.
Isyn :
synaptic input current
nIncoming :
Number of incoming synapses
nOutgoing :
Number of outgoing synapses

 
(C) 2003, Thomas Natschläger last modified 07/10/2006