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optimizeDecoders(float[][], float[], boolean)
- Method in class ca.nengo.model.nef.impl.
BiasOrigin
This method adjusts bias decoders so that the bias function is as flat as possible, without changing the bias encoders on the post-synaptic ensemble.
optimizeInterneuronDomain(DecodedTermination, DecodedTermination)
- Method in class ca.nengo.model.nef.impl.
BiasOrigin
This method adjusts the interneuron channel so that the interneurons are tuned to the range of values that is output by the bias function.
ORIGIN
- Static variable in class ca.nengo.model.impl.
PassthroughNode
Origin
- Interface in
ca.nengo.model
An source of information in a circuit model.
ORIGIN_NAME
- Static variable in class ca.nengo.model.impl.
FunctionInput
ORIGIN_NAME
- Static variable in interface ca.nengo.model.muscle.
GolgiTendonOrgan
outerprod(float[], float[])
- Static method in class ca.nengo.util.
MU
OUTPUT
- Static variable in class ca.nengo.model.nef.impl.
DecodedTermination
Name of Probeable output state.
OutSpikeErrorFunction
- Class in
ca.nengo.model.plasticity.impl
A learning function that uses information from the ensemble to modulate the rate of synaptic change.
OutSpikeErrorFunction(float[], float[][], float, float, float, float)
- Constructor for class ca.nengo.model.plasticity.impl.
OutSpikeErrorFunction
Requires information from the post population to modulate learning.
OutSpikeErrorFunction(float[], float[][])
- Constructor for class ca.nengo.model.plasticity.impl.
OutSpikeErrorFunction
Requires information from the post population to modulate learning.
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