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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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