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ca.nengo.model
Interface Resettable

All Known Subinterfaces:
DecodableEnsemble, Ensemble, ExpandableNode, ExpandableSynapticIntegrator, GolgiTendonOrgan, LinkSegmentModel, MuscleSpindle, NEFEnsemble, NEFNode, Network, Neuron, Node, Noise, PlasticEnsemble, PlasticNodeTermination, SkeletalMuscle, SpikeGenerator, SynapticIntegrator, Termination, ThreadTask
All Known Implementing Classes:
AbstractEnsemble, AbstractNode, AdditiveGaussianExpressModel, ALIFSpikeGenerator, BasicOrigin, BasicTermination, BiasOrigin, BiasTermination, CriticallyDampedMuscle, DecodableEnsembleImpl, DecodedOrigin, DecodedTermination, DefaultExpressModel, DynamicalSystemSpikeGenerator, EnsembleImpl, EnsembleTermination, ExpandableSpikingNeuron, FunctionInput, GruberNeuronFactory.GruberNeuron, GruberSpikeGenerator, HillMuscle, HodgkinHuxleySpikeGenerator, IzhikevichSpikeGenerator, LearningTask, LIFSpikeGenerator, LinearExponentialTermination, LinearSynapticIntegrator, LinkSegmentModelImpl, ModulatedPlasticEnsembleTermination, NEFEnsembleImpl, NetworkArrayImpl, NetworkArrayImpl.ArrayOrigin, NetworkImpl, NetworkImpl.TerminationWrapper, NoiseFactory.NoiseImplFunction, NoiseFactory.NoiseImplNull, NoiseFactory.NoiseImplPDF, PassthroughNode, PassthroughNode.PassthroughTermination, PESTermination, PlasticEnsembleImpl, PlasticEnsembleTermination, PoissonSpikeGenerator, PreLearnTermination, ProbeTask, PyramidalNetwork, RateFunctionSpikeGenerator, SkeletalMuscleImpl, SpikingNeuron, STDPTermination

public interface Resettable

An object that can be reset to some initial state.


Method Summary
 void reset(boolean randomize)
           
 

Method Detail

reset

void reset(boolean randomize)
Parameters:
randomize - True indicates that the object should be reset to a randomly selected initial state (the object must be aware of the distribution from which to draw from). False indicates that the object should be reset to a fixed initial state (which it must also know). Some objects may not support randomization of the initial state, in which case a fixed state will be used in either case.

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