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| Packages that use AbstractFunction | |
|---|---|
| ca.nengo.math.impl | |
| ca.nengo.model.plasticity.impl | |
| Uses of AbstractFunction in ca.nengo.math.impl |
|---|
| Subclasses of AbstractFunction in ca.nengo.math.impl | |
|---|---|
class |
Convolution
A numerical convolution of two one-dimensional functions. |
class |
ExponentialPDF
A one-dimensional exponential probability density function. |
class |
FunctionBasisImpl
Default implementation of FunctionBasis. |
static class |
LinearCurveFitter.InterpolatedFunction
A 1-D Function based on interpolation between known points. |
class |
LinearFunction
A linear map into one dimension. |
class |
PiecewiseConstantFunction
A one-dimensional function for which the output is constant between a finite number of discontinuities. |
class |
PoissonPDF
A Poisson distribution. |
class |
Polynomial
A one-dimensional polynomial Function. |
class |
SigmoidFunction
A one-dimensional sigmoid function with configurable high and low values, slope, and inflection point. |
static class |
SimpleFunctions.Acos
In radians. |
static class |
SimpleFunctions.Asin
In radians. |
static class |
SimpleFunctions.Atan
In radians. |
static class |
SimpleFunctions.Cos
In radians. |
static class |
SimpleFunctions.Exp
|
static class |
SimpleFunctions.Fold
Computes the image of x0 \in \mathbb{R} in the quotient group \mathbb{R}/\mathbb{Z}. |
static class |
SimpleFunctions.InverseNormal
|
static class |
SimpleFunctions.Ln
|
static class |
SimpleFunctions.Log10
|
static class |
SimpleFunctions.Log2
|
static class |
SimpleFunctions.Max
|
static class |
SimpleFunctions.Min
|
static class |
SimpleFunctions.Normal
|
static class |
SimpleFunctions.Pow
|
static class |
SimpleFunctions.Sin
In radians. |
static class |
SimpleFunctions.Sqrt
|
static class |
SimpleFunctions.Tan
In radians. |
class |
TimeSeriesFunction
A Function based on interpolation of a TimeSeries. |
| Uses of AbstractFunction in ca.nengo.model.plasticity.impl |
|---|
| Subclasses of AbstractFunction in ca.nengo.model.plasticity.impl | |
|---|---|
class |
AbstractRealLearningFunction
Defines the input available to a real-valued learning rule function. |
class |
AbstractSpikeLearningFunction
Defines the input available to a spike-based learning rule function. |
class |
ErrorLearningFunction
A learning function that uses information from the ensemble to modulate the rate of synaptic change. |
class |
InSpikeErrorFunction
A learning function that uses information from the ensemble to modulate the rate of synaptic change. |
class |
OutSpikeErrorFunction
A learning function that uses information from the ensemble to modulate the rate of synaptic change. |
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