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enableBias(boolean)
- Method in class ca.nengo.model.impl.
ProjectionImpl
enableBias(boolean)
- Method in interface ca.nengo.model.
Projection
Ensemble
- Interface in
ca.nengo.model
A group of Nodes with largely overlapping inputs and outputs.
ENSEMBLE_EXTENSION
- Static variable in class ca.nengo.io.
FileManager
EnsembleImpl
- Class in
ca.nengo.model.impl
Default implementation of Ensemble.
EnsembleImpl(String, Node[])
- Constructor for class ca.nengo.model.impl.
EnsembleImpl
EnsembleImpl(String, NodeFactory, int)
- Constructor for class ca.nengo.model.impl.
EnsembleImpl
EnsembleImplTest
- Class in
ca.nengo.model.impl
Unit tests for EnsembleImpl.
EnsembleImplTest()
- Constructor for class ca.nengo.model.impl.
EnsembleImplTest
EnsembleImplTest.MockExpandableNode
- Class in
ca.nengo.model.impl
EnsembleImplTest.MockExpandableNode(String, Origin[], Termination[])
- Constructor for class ca.nengo.model.impl.
EnsembleImplTest.MockExpandableNode
EnsembleOrigin
- Class in
ca.nengo.model.impl
An Origin that is composed of the Origins of multiple Nodes.
EnsembleOrigin(Node, String, Origin[])
- Constructor for class ca.nengo.model.impl.
EnsembleOrigin
EnsembleTermination
- Class in
ca.nengo.model.impl
A Termination that is composed of Terminations onto multiple Nodes.
EnsembleTermination(Node, String, Termination[])
- Constructor for class ca.nengo.model.impl.
EnsembleTermination
EnsembleTerminationTest
- Class in
ca.nengo.model.impl
Unit tests for EnsembleTermination.
EnsembleTerminationTest(String)
- Constructor for class ca.nengo.model.impl.
EnsembleTerminationTest
EnumHandler
- Class in
ca.nengo.config.handlers
ConfigurationHandler for SimulationMode values.
EnumHandler()
- Constructor for class ca.nengo.config.handlers.
EnumHandler
Defaults to type Enum with null default value.
EnumHandler(Class<?>, Enum<?>)
- Constructor for class ca.nengo.config.handlers.
EnumHandler
Environment
- Class in
ca.nengo.util
Provides information about the context in which the code is running.
Environment()
- Constructor for class ca.nengo.util.
Environment
ErrorLearningFunction
- Class in
ca.nengo.model.plasticity.impl
A learning function that uses information from the ensemble to modulate the rate of synaptic change.
ErrorLearningFunction(float[], float[][])
- Constructor for class ca.nengo.model.plasticity.impl.
ErrorLearningFunction
Requires information from the post population to modulate learning.
EulerIntegrator
- Class in
ca.nengo.dynamics.impl
Euler's method of numerical integration: x(t+h) ~ x(t) + h*x'(t) TODO: test TODO: should there be some means for aborting early (aside from exceptions, e.g.
EulerIntegrator(float)
- Constructor for class ca.nengo.dynamics.impl.
EulerIntegrator
EulerIntegrator()
- Constructor for class ca.nengo.dynamics.impl.
EulerIntegrator
Uses default step size of .0001
EXCITATION_TERMINATION
- Static variable in interface ca.nengo.model.muscle.
SkeletalMuscle
ExpandableNode
- Interface in
ca.nengo.model
A Node to which Terminations can be added after construction, in a standard manner.
ExpandableSpikingNeuron
- Class in
ca.nengo.model.neuron.impl
A SpikingNeuron with an ExpandableSynapticIntegrator.
ExpandableSpikingNeuron(SynapticIntegrator, SpikeGenerator, float, float, String)
- Constructor for class ca.nengo.model.neuron.impl.
ExpandableSpikingNeuron
Note: current = scale * (weighted sum of inputs at each termination) * (radial input) + bias.
ExpandableSynapticIntegrator
- Interface in
ca.nengo.model.neuron
A SynapticIntegrator to which Terminations can be added after construction, in a standard way.
ExponentialPDF
- Class in
ca.nengo.math.impl
A one-dimensional exponential probability density function.
ExponentialPDF(float)
- Constructor for class ca.nengo.math.impl.
ExponentialPDF
export(TimeSeries, File)
- Method in class ca.nengo.io.
DelimitedFileExporter
Exports a TimeSeries with times in the first column and data from each dimension in subsequent columns.
export(TimeSeries, File, float)
- Method in class ca.nengo.io.
DelimitedFileExporter
Exports a TimeSeries as a matrix with times in the first column and data from each dimension in subsequent rows.
export(SpikePattern, File)
- Method in class ca.nengo.io.
DelimitedFileExporter
Exports a SpikePattern as a matrix with spikes times of each neuron in a different row.
export(float[][], File)
- Method in class ca.nengo.io.
DelimitedFileExporter
Exports a matrix with rows and columns delimited as specified in the constructor.
exposeOrigin(Origin, String)
- Method in class ca.nengo.model.impl.
NetworkImpl
exposeOrigin(Origin, String)
- Method in interface ca.nengo.model.
Network
Declares the given Origin as available for connection outside the Network via getOrigins().
exposeState(Probeable, String, String)
- Method in class ca.nengo.model.impl.
NetworkImpl
exposeState(Probeable, String, String)
- Method in interface ca.nengo.model.
Network
Declares the given Probeable state as being available for Probing from outside this Network.
exposeTermination(Termination, String)
- Method in class ca.nengo.model.impl.
NetworkImpl
exposeTermination(Termination, String)
- Method in interface ca.nengo.model.
Network
Declares the given Termination as available for connection from outside the Network via getTerminations().
extractDimension(TimeSeries, int)
- Static method in class ca.nengo.util.
DataUtils
extractTime(TimeSeries, float, float)
- Static method in class ca.nengo.util.
DataUtils
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