LinearNeuron Class Reference

This class implements a neuron which just adds up all its inputs (synapses and analog messages) in a linear fashion. More...

#include <LinearNeuron.h>

Inheritance diagram for LinearNeuron:

[legend]

Collaboration diagram for LinearNeuron:

[legend]

List of all members.

Public Member Functions

LinearNeuron (float Rm=1, float Iinject=0, float Inoise=0)

Detailed Description

This class implements a neuron which just adds up all its inputs (synapses and analog messages) in a linear fashion.

If there are no Conductance based synapses the output $Vm$ is given by

$Vm = Rm * ( Isyn + Iinject + noise )$

If there are conductance based synapses the output $Vm$ is given by

$Vm = ( Isyn + Iinject + noise ) / ( Gsyn + 1 / Rm )$

$fIsyn $is the total synaptic input \$fGsyn$ is the total amount of conductance supplied by the conductance based synapses $Iinject$ is some constant base current injection $noise$ is a gaussian random variable with a standard deviation of Inoise $Rm$ is the membrane resistance (which acts just as a scaling factor in this case

Definition at line 22 of file LinearNeuron.h.

Constructor & Destructor Documentation

LinearNeuron::LinearNeuron	(	float	Rm = `1`,
		float	Iinject = `0`,
		float	Inoise = `0`
	)			`[inline]`

Definition at line 29 of file LinearNeuron.h.

References AnalogPointNeuron::Iinject, AnalogPointNeuron::Inoise, and AnalogPointNeuron::Rm.

The documentation for this class was generated from the following file:

/home/tnatschl/PCSIM-Sandbox/pcsim/pcsim/simobjects/LinearNeuron.h


Public Member Functions
	LinearNeuron (float Rm=1, float Iinject=0, float Inoise=0)