ca.nengo.model.nef
Interface NEFNode
- All Superinterfaces:
- java.lang.Cloneable, Node, Resettable, java.io.Serializable, SimulationMode.ModeConfigurable, VisiblyMutable
- All Known Implementing Classes:
- ExpandableSpikingNeuron, SpikingNeuron
public interface NEFNode
- extends Node
A Node with a distinguished Termination that corresponds to a net
effect of input. This direct channel is used by NEFEnsembles. NEFEnsembles
run more efficiently by combining and filtering inputs at the Ensemble
level, so that these same combinations and filterings need not be performed
multiple times, for each Node in the Ensemble. Differences in net input to
the different Nodes in an NEFEnsemble are accounted for by encoding vectors
(see Eliasmith & Anderson, 2003).
There can also be additional inputs to an NEFNode, beyond the distinguished
input. The manner in which such inputs are combined with each other
and with the distinguished input is determined by the NEFNode.
- Author:
- Bryan Tripp
setRadialInput
void setRadialInput(float value)
- Parameters:
value
- Value of filtered summary input. This value is typically in the range
[-1 1], and correponds to an inner product of vectors in the space
represented by the NEFEnsemble to which this Node belongs.