| Package | Description |
|---|---|
| org.simbrain.network.gui.dialogs.neuron |
The network.gui.dialogs.neuron package contains dialog classes that manage the creation and editing of
neuron-level dialog boxes.
|
| org.simbrain.network.gui.dialogs.neuron.rule_panels |
The network.gui.dialogs.neuron.generator_panels package contains dialogs for neuron generators (currently unused)
|
| org.simbrain.network.neuron_update_rules |
The network.neuron_update_rules package contains code which describes all particular
neuron update rules, which are used when neurons are updated.
|
| Class and Description |
|---|
| AdExIFRule
An implementation of adaptive exponential integrate and fire.
|
| Class and Description |
|---|
| AdditiveRule
AdditiveNeuron See Haykin (2002), section 14.5.
|
| BinaryRule
BinaryNeuron takes one of two values.
|
| DecayRule
DecayNeuron implements various forms of standard decay.
|
| IACRule
IACNeuron implements an Interactive Activation and Competition neuron.
|
| IntegrateAndFireRule
IntegrateAndFireNeuron implements an integrate and fire neuron.
|
| IzhikevichRule
IzhikevichNeuron.
|
| Class and Description |
|---|
| AbstractSigmoidalRule
An abstract superclass for discrete and continuous time sigmoial squashing
function based update rules containing methods and variables common to
both.
|
| AdditiveRule
AdditiveNeuron See Haykin (2002), section 14.5.
|
| AdExIFRule
An implementation of adaptive exponential integrate and fire.
|
| BinaryRule
BinaryNeuron takes one of two values.
|
| ContinuousSigmoidalRule
Continuous Sigmoidal Rule provides various squashing function
ouputs for a neuron whose activation is numerically integrated continuously
over time.
|
| DecayRule
DecayNeuron implements various forms of standard decay.
|
| FitzhughNagumo |
| IACRule
IACNeuron implements an Interactive Activation and Competition neuron.
|
| IntegrateAndFireRule
IntegrateAndFireNeuron implements an integrate and fire neuron.
|
| IzhikevichRule
IzhikevichNeuron.
|
| LinearRule
LinearNeuron is a standard linear neuron.
|
| NakaRushtonRule
NakaRushtonNeuron is a firing-rate based neuron which is intended to
model spike rates of real neurons.
|
| PointNeuronRule
PointNeuron from O'Reilley and Munakata, Computational Explorations in
Cognitive Neuroscience, chapter 2.
|
| PointNeuronRule.OutputFunction
Output functions.
|
| RunningAverageRule
RunningAverageNeuron keeps a running average of current and past
activity.
|
| SigmoidalRule
SigmoidalRule provides various implementations of a standard
sigmoidal neuron.
|
| SpikingThresholdRule
A simple spiking neuron that fires when weighted inputs exceed a threshold.
|
| ThreeValueRule
ThreeValuedNeuron is a natural extension of a binary neuron, which
takes one of three values depending on the inputs to the neuron in relation
to two thresholds.
|
| TimedAccumulatorRule |