|
|||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
Interface Summary | |
---|---|
SpikeGeneratorFactory | Creates SpikeGenerators. |
SynapticIntegratorFactory | Creates SynapticIntegrators. |
Class Summary | |
---|---|
ALIFNeuronFactory | A factory for adapting leaky integrate-and-fire neurons. |
ALIFSpikeGenerator | An adapting leaky-integrate-and-fire model of spike generation. |
ALIFSpikeGenerator.Factory | Creates ALIFSpikeGenerators. |
DynamicalSystemSpikeGenerator | A SpikeGenerator for which spiking dynamics are expressed in terms of a DynamicalSystem. |
ExpandableSpikingNeuron | A SpikingNeuron with an ExpandableSynapticIntegrator. |
HodgkinHuxleySpikeGenerator | A SpikeGenerator based on the Hodgkin-Huxley model. |
HodgkinHuxleySpikeGenerator.HodgkinHuxleyNeuronFactory | A factory of neurons with linear synaptic integration and Hodgkin-Huxley spike generation. |
HodgkinHuxleySpikeGenerator.HodgkinHuxleySystem | Hodgkin-Huxley spiking dynamics. |
IzhikevichSpikeGenerator | From Izhikevich, 2003, the model is: v' = 0.04v*v + 5v + 140 - u + I u' = a(bv - u) |
LIFNeuronFactory | A factory for leaky-integrate-and-fire neurons. |
LIFSpikeGenerator | A leaky-integrate-and-fire model of spike generation. |
LIFSpikeGenerator.Factory | Creates LIFSpikeGenerators. |
LinearSynapticIntegrator | A basic linear SynapticIntegrator model. |
LinearSynapticIntegrator.Factory | |
PoissonSpikeGenerator | A phenomenological SpikeGenerator that produces spikes according to a Poisson process with a rate that varies as a function of current. |
PoissonSpikeGenerator.LinearFactory | Creates PoissonSpikeGenerators with linear response functions. |
PoissonSpikeGenerator.LinearNeuronFactory | A factory for neurons with linear or rectified linear response functions. |
PoissonSpikeGenerator.SigmoidFactory | |
PoissonSpikeGenerator.SigmoidNeuronFactory | A factory for neurons with sigmoid response functions. |
PyramidalNetwork | Non Linear Network This network is a model of Pyramidal Cells found in the central nervous system These cells contain an active dendritic tree with functional computation occuring within the dendrites themselves The implementation chosen involves creating a network of Ensembles(dendrites and cell bodies) such that one ensemble of "dendrites" projects to a specific termination in the "soma" ensemble with weights chosen in such a way that only one node of the soma is given an input from a specific dendritic branch. |
PyramidalNetwork.PoiraziDendriteFactory | Creates neurons which are meant to model the dendrites of pyramidal cells Code is a modified version of NodeFactory written by Bryann Tripp |
RateFunctionSpikeGenerator | |
RateFunctionSpikeGenerator.PoiraziDendriteSigmoid | |
RateFunctionSpikeGenerator.PoiraziDendriteSigmoidFactory | |
SpikeGeneratorOrigin | An Origin that obtains output from an underlying SpikeGenerator. |
SpikingNeuron | A neuron model composed of a SynapticIntegrator and a SpikeGenerator. |
SpikingNeuronFactory | Creates spiking neurons by delegating to a SynapticIntegratorFactory and a SpikeGeneratorFactory. |
Enum Summary | |
---|---|
IzhikevichSpikeGenerator.Preset | Preset parameter values corresponding to different cell types. |
|
|||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |