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| Packages that use GaugeSource | |
|---|---|
| org.simbrain.gauge | The simbrain.gauge package contains code for creating and managing gauges, which project from arbitrary dimensional spaces to two dimensions. |
| org.simnet.interfaces | The simnet.interfaces package contains all high level neural network classes, i.e. |
| org.simnet.neurons | The simnet.neurons package contains code which describes all particular neuron types in Simbrain. |
| org.simnet.synapses | The simnet.synapses package contains code which describes all particular synpase or weight types in Simbrain. |
| Uses of GaugeSource in org.simbrain.gauge |
|---|
| Methods in org.simbrain.gauge with parameters of type GaugeSource | |
|---|---|
void |
GaugedVariables.addVariable(GaugeSource toAdd)
Add a new gauged variable. |
void |
GaugedVariables.changeVariable(GaugeSource oldVar,
GaugeSource newVar)
Update a gauged variable. |
void |
GaugedVariables.removeVariable(GaugeSource toRemove)
Remove a gauged variable. |
| Uses of GaugeSource in org.simnet.interfaces |
|---|
| Classes in org.simnet.interfaces that implement GaugeSource | |
|---|---|
class |
Neuron
Neuron represents a node in the neural network. |
class |
Synapse
Synapse objects represent "connections" between neurons, which learn (grow or weaken) based on various factors, including the activation level of connected neurons. |
| Uses of GaugeSource in org.simnet.neurons |
|---|
| Classes in org.simnet.neurons that implement GaugeSource | |
|---|---|
class |
AdditiveNeuron
AdditiveNeuron See haykin (2002), section 14.5. |
class |
BinaryNeuron
BinaryNeuron type to be used in creating different types of networks. |
class |
ClampedNeuron
ClampedNeuron. |
class |
DecayNeuron
DecayNeuron. |
class |
ExponentialDecayNeuron
Expoential decay. |
class |
IACNeuron
IACNeuron. |
class |
IntegrateAndFireNeuron
IntegrateAndFireNeuron. |
class |
IzhikevichNeuron
IzhikevichNeuron. |
class |
LinearNeuron
LinearNeuron. |
class |
LMSNeuron
LMS Neuron. |
class |
LogisticNeuron
LogisticNeuron. |
class |
NakaRushtonNeuron
NakaRushtonNeuron is a firing-rate based neuron which is intended to model spike rates of real neurons. |
class |
RandomNeuron
RandomNeuron. |
class |
RunningAverageNeuron
RunningAverageNeuron. |
class |
SigmoidalNeuron
SigmoidalNeuron. |
class |
SinusoidalNeuron
SinusoidalNeuron. |
class |
StochasticNeuron
StochasticNeuron. |
class |
TemporalDifferenceNeuron
TemporalDifferenceNeuron. |
class |
ThreeValuedNeuron
ThreeValuedNeuron. |
class |
TraceNeuron
TraceNeuron is used to model Sutton and Barto's model of conditioning via "eligibility traces." |
| Uses of GaugeSource in org.simnet.synapses |
|---|
| Classes in org.simnet.synapses that implement GaugeSource | |
|---|---|
class |
ClampedSynapse
ClampedSynapse. |
class |
Hebbian
Hebbian. |
class |
HebbianThresholdSynapse
HebbianThresholdSynapse. |
class |
OjaSynapse
OjaSynapse is a synapse which asymptotically normalizes the sum of squares of the weights attaching to a neuron to a user-defined value. |
class |
RandomSynapse
RandomSynapse. |
class |
ShortTermPlasticitySynapse
ShortTermPlasticitySynapse. |
class |
SignalSynapse
SignalSynapse is a catchall name for a connection which carries a special signal, e.g. |
class |
SubtractiveNormalizationSynapse
SubtractiveNormalizationSynapse. |
class |
TraceSynapse
TraceSynapse. |
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