CSIM: SigmoidalNeuron Class Reference
SigmoidalNeuron Class Reference#include <sigmoidalneuron.h>
Inheritance diagram for SigmoidalNeuron:
List of all members.
Detailed Description
An analog neuron with a sigmoidal activation function.
Public Attributes
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double thresh
- Itot = logsig(beta*(Itot-thresh)) [readwrite; units=W;].
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double beta
- Itot = logsig(beta*(Itot-thresh)) [readwrite; units=1;].
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double tau_m
- time constant [readwrite;]
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double A_max
- the output of a sig neuron is scaled to (0,W_max) [readwrite; units=1;]
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double I_inject
- external current injected into neuron [readwrite; units=W;]
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double Vm_init
- initial 'membrane voltage' [readwrite; units=V;]
Private Attributes
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double C1
- constant for exponential Euler integration of Vm [hidden;]
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double C2
- constant for exponential Euler integration of Vm [hidden;]
Friends
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