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See:
Description
| Class Summary | |
|---|---|
| AdditiveNeuron | AdditiveNeuron See haykin (2002), section 14.5. |
| BinaryNeuron | BinaryNeuron type to be used in creating different types of networks. |
| ClampedNeuron | ClampedNeuron. |
| DecayNeuron | DecayNeuron. |
| ExponentialDecayNeuron | Expoential decay. |
| IACNeuron | IACNeuron. |
| IntegrateAndFireNeuron | IntegrateAndFireNeuron. |
| IzhikevichNeuron | IzhikevichNeuron. |
| LinearNeuron | LinearNeuron. |
| LMSNeuron | LMS Neuron. |
| LogisticNeuron | LogisticNeuron. |
| NakaRushtonNeuron | NakaRushtonNeuron is a firing-rate based neuron which is intended to model spike rates of real neurons. |
| RandomNeuron | RandomNeuron. |
| RunningAverageNeuron | RunningAverageNeuron. |
| SigmoidalNeuron | SigmoidalNeuron. |
| SinusoidalNeuron | SinusoidalNeuron. |
| StochasticNeuron | StochasticNeuron. |
| TemporalDifferenceNeuron | TemporalDifferenceNeuron. |
| ThreeValuedNeuron | ThreeValuedNeuron. |
| TraceNeuron | TraceNeuron is used to model Sutton and Barto's model of conditioning via "eligibility traces." |
The simnet.neurons package contains code which describes all particular neuron types in Simbrain. To add a new neuron type extend the Neuron class in simnet.interfaces and put the new class here.
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