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| Packages that use PDF | |
|---|---|
| ca.nengo.math | |
| ca.nengo.math.impl | |
| ca.nengo.model.impl | |
| ca.nengo.model.neuron.impl | |
| ca.nengo.util | |
| Uses of PDF in ca.nengo.math |
|---|
| Methods in ca.nengo.math that return PDF | |
|---|---|
PDF |
PDF.clone()
|
| Methods in ca.nengo.math with parameters of type PDF | |
|---|---|
static boolean |
PDFTools.sampleBoolean(PDF pdf)
Note: PDF treated as univariate (only first dimension considered). |
static float |
PDFTools.sampleFloat(PDF pdf)
Note: PDF treated as univariate (only first dimension considered). |
static int |
PDFTools.sampleInt(PDF pdf)
Note: PDF treated as univariate (only first dimension considered). |
| Uses of PDF in ca.nengo.math.impl |
|---|
| Classes in ca.nengo.math.impl that implement PDF | |
|---|---|
class |
ExponentialPDF
A one-dimensional exponential probability density function. |
class |
GaussianPDF
Univariate Gaussian probability density function. |
class |
IndicatorPDF
Uniform probability between upper and lower limits, zero elsewhere. |
class |
PoissonPDF
A Poisson distribution. |
| Methods in ca.nengo.math.impl that return PDF | |
|---|---|
PDF |
GaussianPDF.clone()
|
PDF |
ExponentialPDF.clone()
|
PDF |
IndicatorPDF.clone()
|
PDF |
PoissonPDF.clone()
|
| Uses of PDF in ca.nengo.model.impl |
|---|
| Methods in ca.nengo.model.impl that return PDF | |
|---|---|
PDF |
NoiseFactory.NoiseImplPDF.getPDF()
|
| Methods in ca.nengo.model.impl with parameters of type PDF | |
|---|---|
static Noise |
NoiseFactory.makeRandomNoise(float frequency,
PDF pdf)
|
static Noise |
NoiseFactory.makeRandomNoise(float frequency,
PDF pdf,
DynamicalSystem dynamics,
Integrator integrator)
|
| Constructors in ca.nengo.model.impl with parameters of type PDF | |
|---|---|
NoiseFactory.NoiseImplPDF(float frequency,
PDF pdf,
DynamicalSystem dynamics,
Integrator integrator)
|
|
| Uses of PDF in ca.nengo.model.neuron.impl |
|---|
| Methods in ca.nengo.model.neuron.impl that return PDF | |
|---|---|
PDF |
ALIFSpikeGenerator.Factory.getIncN()
|
PDF |
ALIFNeuronFactory.getIncN()
|
PDF |
PoissonSpikeGenerator.SigmoidFactory.getInflection()
|
PDF |
PoissonSpikeGenerator.LinearFactory.getIntercept()
|
PDF |
LIFNeuronFactory.getIntercept()
|
PDF |
ALIFNeuronFactory.getIntercept()
|
PDF |
PoissonSpikeGenerator.LinearFactory.getMaxRate()
|
PDF |
PoissonSpikeGenerator.SigmoidFactory.getMaxRate()
|
PDF |
LIFNeuronFactory.getMaxRate()
|
PDF |
ALIFNeuronFactory.getMaxRate()
|
PDF |
PoissonSpikeGenerator.SigmoidFactory.getSlope()
|
PDF |
ALIFSpikeGenerator.Factory.getTauN()
|
PDF |
ALIFSpikeGenerator.Factory.getTauRC()
|
PDF |
LIFSpikeGenerator.Factory.getTauRC()
|
PDF |
ALIFSpikeGenerator.Factory.getTauRef()
|
PDF |
LIFSpikeGenerator.Factory.getTauRef()
|
| Methods in ca.nengo.model.neuron.impl with parameters of type PDF | |
|---|---|
void |
ALIFSpikeGenerator.Factory.setIncN(PDF incN)
|
void |
ALIFNeuronFactory.setIncN(PDF incN)
|
void |
PoissonSpikeGenerator.SigmoidFactory.setInflection(PDF inflection)
|
void |
PoissonSpikeGenerator.LinearFactory.setIntercept(PDF intercept)
|
void |
LIFNeuronFactory.setIntercept(PDF intercept)
|
void |
ALIFNeuronFactory.setIntercept(PDF intercept)
|
void |
PoissonSpikeGenerator.LinearFactory.setMaxRate(PDF maxRate)
|
void |
PoissonSpikeGenerator.SigmoidFactory.setMaxRate(PDF maxRate)
|
void |
LIFNeuronFactory.setMaxRate(PDF maxRate)
|
void |
ALIFNeuronFactory.setMaxRate(PDF maxRate)
|
void |
PoissonSpikeGenerator.SigmoidFactory.setSlope(PDF slope)
|
void |
ALIFSpikeGenerator.Factory.setTauN(PDF tauN)
|
void |
ALIFSpikeGenerator.Factory.setTauRC(PDF tauRC)
|
void |
LIFSpikeGenerator.Factory.setTauRC(PDF tauRC)
|
void |
ALIFSpikeGenerator.Factory.setTauRef(PDF tauRef)
|
void |
LIFSpikeGenerator.Factory.setTauRef(PDF tauRef)
|
| Constructors in ca.nengo.model.neuron.impl with parameters of type PDF | |
|---|---|
ALIFNeuronFactory(PDF maxRate,
PDF intercept,
PDF incN,
float tauRef,
float tauRC,
float tauN)
|
|
LIFNeuronFactory(float tauRC,
float tauRef,
PDF maxRate,
PDF intercept)
|
|
PoissonSpikeGenerator.LinearNeuronFactory(PDF maxRate,
PDF intercept,
boolean rectified)
|
|
PoissonSpikeGenerator.SigmoidNeuronFactory(PDF slope,
PDF inflection,
PDF maxRate)
Neurons from this factory will have Poisson firing rates that are sigmoidal functions of current. |
|
SpikingNeuronFactory(SynapticIntegratorFactory intFact,
SpikeGeneratorFactory genFact,
PDF scale,
PDF bias)
|
|
| Uses of PDF in ca.nengo.util |
|---|
| Methods in ca.nengo.util with parameters of type PDF | |
|---|---|
static float[][] |
MU.random(int rows,
int cols,
PDF pdf)
|
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