| Interface | Description |
|---|---|
| SpikeGeneratorFactory |
Creates SpikeGenerators.
|
| SynapticIntegratorFactory |
Creates SynapticIntegrators.
|
| Class | Description |
|---|---|
| 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.
|
| GruberNeuronFactory |
Creates GruberNeurons
|
| GruberNeuronFactory.GruberNeuron |
Class representing the actual neuron
|
| GruberSpikeGenerator |
Model of spike generation in medium-spiny striatal neurons from: Gruber, Solla, Surmeier & Houk (2003)
Modulation of striatal single units by expected reward: a spiny neuron model displaying dopamine-induced
bistability, J Neurophysiol 90: 1095-1114.
|
| GruberSpikeGenerator.GruberDynamics |
Implements dynamics of Gruber et al.
|
| 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 |
Factory for making LinearSynapticIntegrators
|
| 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 |
Creates sigmoid neurons (I guess rate-mode Poisson neurons?)
|
| 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.
|
| 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 |
Rate Function Spike Generator
This class generates spikes based on a user defined function.
|
| RateFunctionSpikeGenerator.PoiraziDendriteSigmoid |
Function from Poirazi et al.,2003
|
| RateFunctionSpikeGenerator.PoiraziDendriteSigmoidFactory |
Spike generator using the rate function PoiraziDendriteSigmoid documented
in Poirazi et al.,2003
|
| 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 | Description |
|---|---|
| IzhikevichSpikeGenerator.Preset |
Preset parameter values corresponding to different cell types.
|