A B C D E F G H I J K L M N O P R S T U V W X Z

A

AbstractDynamicalSystem - Class in ca.nengo.dynamics.impl
Base implementation of DynamicalSystem.
AbstractDynamicalSystem(float[]) - Constructor for class ca.nengo.dynamics.impl.AbstractDynamicalSystem
 
AbstractEnsemble - Class in ca.nengo.model.impl
Abstract class that can be used as a basis for Ensemble implementations.
AbstractEnsemble(String, Node[]) - Constructor for class ca.nengo.model.impl.AbstractEnsemble
Note that setMode(SimulationMode.DEFAULT) is called at construction time.
AbstractEnsembleTest - Class in ca.nengo.model.impl
Unit tests for AbstractEnsemble.
AbstractEnsembleTest() - Constructor for class ca.nengo.model.impl.AbstractEnsembleTest
 
AbstractFunction - Class in ca.nengo.math.impl
Base class for Function implementations.
AbstractFunction(int) - Constructor for class ca.nengo.math.impl.AbstractFunction
 
AbstractNode - Class in ca.nengo.model.impl
A base implementation of Node.
AbstractNode(String, List<Origin>, List<Termination>) - Constructor for class ca.nengo.model.impl.AbstractNode
 
AbstractProperty - Class in ca.nengo.config.impl
Base implementation of Property.
AbstractProperty(Configuration, String, Class<?>, boolean) - Constructor for class ca.nengo.config.impl.AbstractProperty
 
AbstractRealLearningFunction - Class in ca.nengo.model.plasticity.impl
Defines the input available to a real-valued learning rule function.
AbstractRealLearningFunction() - Constructor for class ca.nengo.model.plasticity.impl.AbstractRealLearningFunction
Ensures that the function is of the correct dimension.
AbstractSpikeLearningFunction - Class in ca.nengo.model.plasticity.impl
Defines the input available to a spike-based learning rule function.
AbstractSpikeLearningFunction() - Constructor for class ca.nengo.model.plasticity.impl.AbstractSpikeLearningFunction
Ensures that the function is of the correct dimension.
actionPerformed(ActionEvent) - Method in class ca.nengo.config.ui.ConfigurationChangeListener
 
actionPerformed(ActionEvent) - Method in class ca.nengo.config.ui.NewConfigurableDialog
 
ACTIVATION - Static variable in interface ca.nengo.model.muscle.SkeletalMuscle
 
add(String, TimeSeries) - Method in class ca.nengo.io.MatlabExporter
 
add(String, TimeSeries, float) - Method in class ca.nengo.io.MatlabExporter
Filters TimeSeries data with given time constant (this is usually a good idea for spike output, which is a sum of impulses).
add(String, SpikePattern) - Method in class ca.nengo.io.MatlabExporter
 
add(String, float[][]) - Method in class ca.nengo.io.MatlabExporter
 
add(float[]) - Method in class ca.nengo.util.MU.MatrixExpander
 
add(float) - Method in class ca.nengo.util.MU.VectorExpander
 
addBias(int, float, float, boolean, boolean) - Method in class ca.nengo.model.impl.ProjectionImpl
 
addBias(int, float, float, boolean, boolean) - Method in interface ca.nengo.model.Projection
Makes all the synaptic weights in the projection either positive or negative, so that the projection accords with Dale's principle.
addBiasOrigin(Origin, int, String, boolean) - Method in class ca.nengo.model.nef.impl.NEFEnsembleImpl
 
addBiasOrigin(Origin, int, String, boolean) - Method in interface ca.nengo.model.nef.NEFEnsemble
Adds a BiasOrigin, which operates in parallel with an existing Origin, such that the effective weights of the two origins together are all of the same sign (as is normally the case with synaptic weights in the brain).
addBiasTerminations(DecodedTermination, float, float[][], float[][]) - Method in class ca.nengo.model.nef.impl.NEFEnsembleImpl
 
addBiasTerminations(DecodedTermination, float, float[][], float[][]) - Method in interface ca.nengo.model.nef.NEFEnsemble
Adds BiasTerminations, which are meant to receive projections from BiasOrigins.
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.model.impl.AbstractEnsemble
 
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.model.impl.AbstractNode
 
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.model.impl.FunctionInput
 
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.model.impl.MockNode
 
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.model.impl.NetworkImpl
 
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.model.impl.PassthroughNode
 
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.model.muscle.impl.LinkSegmentModelImpl
 
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.model.muscle.impl.SkeletalMuscleImpl
 
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.model.neuron.impl.SpikingNeuron
 
addChangeListener(VisiblyMutable.Listener) - Method in class ca.nengo.sim.impl.LocalSimulator
 
addChangeListener(VisiblyMutable.Listener) - Method in interface ca.nengo.util.VisiblyMutable
 
addDecodedOrigin(String, Function[], String, Network, Probe, float, float) - Method in interface ca.nengo.model.nef.DecodableEnsemble
Adds an Origin that corresponds to a decoding of the activities of Nodes in this Ensemble.
addDecodedOrigin(String, Function[], String, Network, Probe, Termination, float[][], float) - Method in interface ca.nengo.model.nef.DecodableEnsemble
Adds an Origin that corresponds to a decoding of the activities of Nodes in this Ensemble.
addDecodedOrigin(String, Function[], String, Network, Probe, float, float) - Method in class ca.nengo.model.nef.impl.DecodableEnsembleImpl
 
addDecodedOrigin(String, Function[], String, Network, Probe, Termination, float[][], float) - Method in class ca.nengo.model.nef.impl.DecodableEnsembleImpl
 
addDecodedOrigin(String, Function[], String, Network, Probe, Probe, float, float, float) - Method in class ca.nengo.model.nef.impl.DecodableEnsembleImpl
 
addDecodedOrigin(String, Function[], String) - Method in class ca.nengo.model.nef.impl.NEFEnsembleImpl
 
addDecodedOrigin(String, Function[], String) - Method in interface ca.nengo.model.nef.NEFEnsemble
Adds an Origin that corresponds to a decoding of the activities of Nodes in this Ensemble.
addDecodedTermination(String, float[][], float, boolean) - Method in class ca.nengo.model.nef.impl.NEFEnsembleImpl
 
addDecodedTermination(String, float[][], float[], float[], float, boolean) - Method in class ca.nengo.model.nef.impl.NEFEnsembleImpl
 
addDecodedTermination(String, float[][], float, boolean) - Method in interface ca.nengo.model.nef.NEFEnsemble
Adds a new Termination into this Ensemble, at which information is to be received in the form of decoded state variables rather than spikes, etc.
addDecodedTermination(String, float[][], float[], float[], float, boolean) - Method in interface ca.nengo.model.nef.NEFEnsemble
As above but with arbitrary single-input-single-output PSC dynamics.
addHandler(ConfigurationHandler) - Method in class ca.nengo.config.MainHandler
 
addHierarchy(Class<?>) - Method in class ca.nengo.config.ClassRegistry
As addRegisterableType(Class), but ancestors are added as well.
addMultiValuedField(String) - Method in class ca.nengo.model.impl.MockConfigurable
 
addMultiValuedField(int, String) - Method in class ca.nengo.model.impl.MockConfigurable
 
addNode(Node) - Method in class ca.nengo.model.impl.NetworkImpl
 
addNode(Node, boolean) - Method in class ca.nengo.model.impl.NetworkImpl
 
addNode(Node) - Method in interface ca.nengo.model.Network
 
addProbe(String, String, boolean) - Method in class ca.nengo.sim.impl.LocalSimulator
 
addProbe(String, int, String, boolean) - Method in class ca.nengo.sim.impl.LocalSimulator
 
addProbe(String, Probeable, String, boolean) - Method in class ca.nengo.sim.impl.LocalSimulator
 
addProbe(String, String, boolean) - Method in interface ca.nengo.sim.Simulator
 
addProbe(String, int, String, boolean) - Method in interface ca.nengo.sim.Simulator
 
addProbe(String, Probeable, String, boolean) - Method in interface ca.nengo.sim.Simulator
 
addProjection(Origin, Termination) - Method in class ca.nengo.model.impl.NetworkImpl
 
addProjection(Origin, Termination) - Method in interface ca.nengo.model.Network
Connects an Origin to a Termination.
addRegisterableType(Class<?>) - Method in class ca.nengo.config.ClassRegistry
Adds a class to the list of types whose implementations can be registered (only implementations of certain types can be registered).
addSimulatorListener(SimulatorListener) - Method in class ca.nengo.sim.impl.LocalSimulator
 
addSimulatorListener(SimulatorListener) - Method in interface ca.nengo.sim.Simulator
 
addSource(File) - Static method in class ca.nengo.config.JavaSourceParser
Adds source code under the given directory to the database.
addSpike(int, float) - Method in class ca.nengo.util.impl.SpikePatternImpl
 
addTermination(String, float[][], float, boolean) - Method in interface ca.nengo.model.ExpandableNode
Adds a new Termination onto this Node.
addTermination(String, float[][], float, boolean) - Method in class ca.nengo.model.impl.EnsembleImpl
 
addTermination(String, float[][], float, boolean) - Method in class ca.nengo.model.impl.EnsembleImplTest.MockExpandableNode
 
addTermination(String, float[][], float, boolean) - Method in class ca.nengo.model.impl.PlasticEnsembleImpl
 
addTermination(String, float[], float, boolean) - Method in interface ca.nengo.model.neuron.ExpandableSynapticIntegrator
 
addTermination(String, float[][], float, boolean) - Method in class ca.nengo.model.neuron.impl.ExpandableSpikingNeuron
 
addTermination(String, float[], float, boolean) - Method in class ca.nengo.model.neuron.impl.LinearSynapticIntegrator
 
addTreeModelListener(TreeModelListener) - Method in class ca.nengo.config.ui.ConfigurationTreeModel
 
addValue(Object) - Method in class ca.nengo.config.impl.ListPropertyImpl
 
addValue(Object) - Method in class ca.nengo.config.impl.TemplateArrayProperty
 
addValue(Object) - Method in interface ca.nengo.config.ListProperty
 
addValue(TreePath, Object, String) - Method in class ca.nengo.config.ui.ConfigurationTreeModel
 
ALIFNeuronFactory - Class in ca.nengo.model.neuron.impl
A factory for adapting leaky integrate-and-fire neurons.
ALIFNeuronFactory(PDF, PDF, PDF, float, float, float) - Constructor for class ca.nengo.model.neuron.impl.ALIFNeuronFactory
 
ALIFNeuronFactory() - Constructor for class ca.nengo.model.neuron.impl.ALIFNeuronFactory
Uses default parameters.
ALIFSpikeGenerator - Class in ca.nengo.model.neuron.impl
An adapting leaky-integrate-and-fire model of spike generation.
ALIFSpikeGenerator() - Constructor for class ca.nengo.model.neuron.impl.ALIFSpikeGenerator
Uses default parameters
ALIFSpikeGenerator(float, float, float, float) - Constructor for class ca.nengo.model.neuron.impl.ALIFSpikeGenerator
 
ALIFSpikeGenerator.Factory - Class in ca.nengo.model.neuron.impl
Creates ALIFSpikeGenerators.
ALIFSpikeGenerator.Factory() - Constructor for class ca.nengo.model.neuron.impl.ALIFSpikeGenerator.Factory
 
ALIFSpikeGeneratorTest - Class in ca.nengo.model.neuron.impl
Unit tests for ALIFSpikeGenerator.
ALIFSpikeGeneratorTest() - Constructor for class ca.nengo.model.neuron.impl.ALIFSpikeGeneratorTest
 
ApproximatorFactory - Interface in ca.nengo.math
Produces LinearApproximators, which approximate Functions through a weighted sum of component functions.
AquaTreeUI - Class in ca.nengo.config.ui
To be used in place of the Mac look & feel apple.laf.AquaTreeUI (and CUIAquaTree), which seem not to respect differences in tree cell size, or to expand tree cells when they change size.
AquaTreeUI() - Constructor for class ca.nengo.config.ui.AquaTreeUI
 
areMonotonicallyIncreasing(float[]) - Static method in class ca.nengo.util.impl.StatefulIndexFinder
 
assertClose(float, float, float) - Static method in class ca.nengo.TestUtil
Assertion that two float values are close to each other, within given tolerance.
AXON - Static variable in interface ca.nengo.model.neuron.Neuron
Standard name for the primary Origin of a Neuron, which outputs its spikes or firing rate depending on SimulationMode.

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