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| Uses of Resettable in ca.nengo.model |
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| Subinterfaces of Resettable in ca.nengo.model | |
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interface |
Ensemble
A group of Nodes with largely overlapping inputs and outputs. |
interface |
ExpandableNode
A Node to which Terminations can be added after construction, in a standard manner. |
interface |
Network
A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs. |
interface |
Node
A part of a Network that can be run independently (eg a Neuron). |
interface |
Noise
An model of noise that can be explicitly injected into a circuit (e.g. |
interface |
PlasticEnsemble
An extension of the default ensemble in which connection weights can be modified by a plasticity rule. |
interface |
PlasticTermination
Plasticity rules apply to terminations. |
interface |
Termination
An destination for information in a circuit model. |
| Uses of Resettable in ca.nengo.model.impl |
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| Classes in ca.nengo.model.impl that implement Resettable | |
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class |
AbstractEnsemble
Abstract class that can be used as a basis for Ensemble implementations. |
class |
AbstractNode
A base implementation of Node. |
class |
BasicOrigin
A generic implementation of Origin. |
class |
BasicTermination
A basic implementation of Termination with configurable dynamics and no special integrative features. |
class |
EnsembleImpl
Default implementation of Ensemble. |
class |
EnsembleImplTest.MockExpandableNode
|
class |
EnsembleTermination
A Termination that is composed of Terminations onto multiple Nodes. |
class |
FunctionInput
|
class |
LinearExponentialTermination
A Termination at which incoming spikes induce exponentially decaying post-synaptic currents that are combined linearly. |
class |
MockNode
A Cloneable Node for testing copy&paste / drag&drop. |
class |
NetworkImpl
Default implementation of Network. |
class |
NetworkImpl.TerminationWrapper
Wraps a Termination with a new name (for exposing outside Network). |
static class |
NoiseFactory.NoiseImplFunction
Note: there are no public setters here for the same reason as in NoiseImplPDF. |
static class |
NoiseFactory.NoiseImplNull
|
static class |
NoiseFactory.NoiseImplPDF
Note: setters are private, because Origins typically make copies for each output dimension, which would then not be updated with changes to the original. |
class |
PassthroughNode
A Node that passes values through unaltered. |
static class |
PassthroughNode.PassthroughTermination
|
class |
PlasticEnsembleImpl
An extension of the default ensemble; connection weights can be modified by a plasticity rule. |
class |
PlasticEnsembleTermination
A Termination that is composed of Terminations onto multiple Nodes. |
static class |
ProjectionImplTest.MockTermination
|
| Uses of Resettable in ca.nengo.model.muscle |
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| Subinterfaces of Resettable in ca.nengo.model.muscle | |
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interface |
GolgiTendonOrgan
A model of a golgi tendon organ receptor. |
interface |
LinkSegmentModel
TODO: javadocs |
interface |
MuscleSpindle
A model of a muscle spindle receptor. |
interface |
SkeletalMuscle
A model of a skeletal muscle or muscle group. |
| Uses of Resettable in ca.nengo.model.muscle.impl |
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| Classes in ca.nengo.model.muscle.impl that implement Resettable | |
|---|---|
class |
CriticallyDampedMuscle
A simple, phenomenological muscle model in which activation-force dynamics are modelled with a linear 2nd-order low-pass filter (see e.g. |
class |
HillMuscle
A Hill-type muscle model. |
class |
LinkSegmentModelImpl
Default implementation of LinkSegmentModel. |
class |
SkeletalMuscleImpl
Basic SkeletalMuscle implementation with unspecified activation-force dynamics. |
| Uses of Resettable in ca.nengo.model.nef |
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| Subinterfaces of Resettable in ca.nengo.model.nef | |
|---|---|
interface |
DecodableEnsemble
An Ensemble that produces output signals that mean something when taken together. |
interface |
NEFEnsemble
A group of Nodes that represent a scalar, vector, or function, as characterized in Eliasmith & Anderson's Neural Engineering Framework. |
interface |
NEFNode
A Node with a distinguished Termination that corresponds to a net effect of input. |
| Uses of Resettable in ca.nengo.model.nef.impl |
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| Classes in ca.nengo.model.nef.impl that implement Resettable | |
|---|---|
class |
BiasOrigin
Part of a projection in which each of the Nodes making up an Ensemble is a source of only excitatory or inhibitory connections. |
class |
BiasTermination
|
class |
DecodableEnsembleImpl
Default implementation of DecodableEnsemble. |
class |
DecodedOrigin
An Origin of functions of the state variables of an NEFEnsemble. |
class |
DecodedTermination
A Termination of decoded state vectors onto an NEFEnsemble. |
class |
NEFEnsembleImpl
Default implementation of NEFEnsemble. |
| Uses of Resettable in ca.nengo.model.neuron |
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| Subinterfaces of Resettable in ca.nengo.model.neuron | |
|---|---|
interface |
ExpandableSynapticIntegrator
A SynapticIntegrator to which Terminations can be added after construction, in a standard way. |
interface |
Neuron
A model of a single neuron cell. |
interface |
SpikeGenerator
Spike generation model, ie a component of a neuron model that receives driving current and generates spikes. |
interface |
SynapticIntegrator
Model of synaptic integration in a dendritic tree and soma. |
| Uses of Resettable in ca.nengo.model.neuron.impl |
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| Classes in ca.nengo.model.neuron.impl that implement Resettable | |
|---|---|
class |
ALIFSpikeGenerator
An adapting leaky-integrate-and-fire model of spike generation. |
class |
DynamicalSystemSpikeGenerator
A SpikeGenerator for which spiking dynamics are expressed in terms of a DynamicalSystem. |
class |
ExpandableSpikingNeuron
A SpikingNeuron with an ExpandableSynapticIntegrator. |
class |
HodgkinHuxleySpikeGenerator
A SpikeGenerator based on the Hodgkin-Huxley model. |
class |
IzhikevichSpikeGenerator
From Izhikevich, 2003, the model is: v' = 0.04v*v + 5v + 140 - u + I u' = a(bv - u) |
class |
LIFSpikeGenerator
A leaky-integrate-and-fire model of spike generation. |
class |
LinearSynapticIntegrator
A basic linear SynapticIntegrator model. |
class |
PoissonSpikeGenerator
A phenomenological SpikeGenerator that produces spikes according to a Poisson process with a rate that varies as a function of current. |
class |
SpikingNeuron
A neuron model composed of a SynapticIntegrator and a SpikeGenerator. |
| Uses of Resettable in ca.nengo.model.plasticity |
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| Subinterfaces of Resettable in ca.nengo.model.plasticity | |
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interface |
PlasticityRule
Specifies how the termination weights of a PlasticEnsemble are modified depending on presynaptic and postsynaptic state. |
| Uses of Resettable in ca.nengo.model.plasticity.impl |
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| Classes in ca.nengo.model.plasticity.impl that implement Resettable | |
|---|---|
class |
CompositePlasticityRule
A PlasticityRule that delegates to underlying spike-based and rate-based rules. |
static class |
CompositePlasticityRule.NullRule
A null plasticity rule that always returns zeros from getDerivative(). |
class |
RealPlasticityRule
A basic implementation of PlasticityRule for real valued input. |
class |
SpikePlasticityRule
A PlasticityRule that accepts spiking input. |
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