Uses of Class
cnslab.cnsmath.Seed

Packages that use Seed

Package	Description
cnslab.cnsmath
cnslab.cnsnetwork

Uses of Seed in cnslab.cnsmath

Methods in cnslab.cnsmath with parameters of type Seed

Modifier and Type	Method and Description
static double	Cnsran.gasdev(Seed idum)
static double	Cnsran.ran1(Seed idum)
static double	Cnsran.ran2(Seed idum)

Uses of Seed in cnslab.cnsnetwork

Fields in cnslab.cnsnetwork declared as Seed

Modifier and Type	Field and Description
Seed	SimulatorParser.idum seed number
Seed	MainSimulator.idum Seed number used in simulation.
Seed	LayerStructure.idum
Seed	FitFun.idum Deprecated.
Seed	Stimulus.seed
Seed	Network.seed the seed value for this network

Methods in cnslab.cnsnetwork with parameters of type Seed

Modifier and Type	Method and Description
double	ParToDoc.getRanFitValue(SimulatorParser pas, LinkedList[] intraReceiver, RecorderData rdata, Seed idum) Deprecated. from recorded data to evaluate the bootstrapped fit function value;
void	VSICLIFNeuronV2.init(int expid, int trialid, Seed idum, Network net, int id)
void	VSICLIFNeuron.init(int expid, int trialid, Seed idum, Network net, int id)
void	UserSenNeuron.init(int expid, int trialid, Seed idum, Network net, int id) Each sub experiment use the date from subexperiment 0, unless changed the code by uncommenting the line.
void	SYNNeuron.init(int expid, int trialid, Seed idum, Network net, int id) initialize the neuron
void	SIFNeuron.init(int expid, int trialid, Seed idum, Network net, int id)
void	Neuron.init(int expid, int trialid, Seed idum, Network net, int id) initialize the neuron
void	MiNiNeuron.init(int expid, int trialid, Seed idum, Network net, int id)
void	BKPoissonNeuron.init(int expid, int trialid, Seed seed, Network network, int id)
void	Network.pMainProcess(FireEvent firstFire, double freq, double weight, Seed seed) Deprecated.
void	ANetwork.pMainProcess(FireEvent firstFire, double freq, double weight, Seed idum)
void	LayerStructure.setSeed(Seed i)

Constructors in cnslab.cnsnetwork with parameters of type Seed

Constructor and Description
AMainSimulator(Seed idum, String modelFile, int heapSize)
ANetwork(ModelFactory modelFactory, DiscreteEventQueue discreteEventQueue, Seq<ModulatedSynapse> modulatedSynapseSeq, Experiment exp, JpvmInfo info, int base, double minDelay, SimulatorParser pas, Seed idum)
ANetwork(ModelFactory modelFactory, DiscreteEventQueue discreteEventQueue, Seq<ModulatedSynapse> modulatedSynapseSeq, Neuron[] neurons, Map<Integer,Axon> axons, double minDelay, SimulatorParser pas, Seed idum)
ANetwork(ModelFactory modelFactory, DiscreteEventQueue discreteEventQueue, Seq<ModulatedSynapse> modulatedSynapseSeq, Neuron[] neurons, Map<Integer,Axon> axons, JpvmInfo info, int base, double minDelay, SimulatorParser pas, Seed idum, Experiment exp)
BKPoissonNeuron(Seed idum, BKPoissonNeuronPara para)
FitFun(ParToDoc parDoc, Seed idum, String modelFilename, int heapSize) Deprecated.
MainSimulator(Seed idum, File modelFile, int heapSize)
MainSimulator(Seed idum, String modelFilename, int heapSize)
Network(ModelFactory modelFactory, DiscreteEventQueue discreteEventQueue, Seq<ModulatedSynapse> modulatedSynapseSeq, Experiment experiment, JpvmInfo info, int base, double minSynapticDelay, SimulatorParser simulatorParser, Seed seed)
Network(ModelFactory modelFactory, DiscreteEventQueue discreteEventQueue, Seq<ModulatedSynapse> modulatedSynapseSeq, Neuron[] neurons, Map<Integer,Axon> axons, double minSynapticDelay, SimulatorParser simulatorParser, Seed seed)
Network(ModelFactory modelFactory, DiscreteEventQueue discreteEventQueue, Seq<ModulatedSynapse> modulatedSynapseSeq, Neuron[] neurons, Map<Integer,Axon> axons, JpvmInfo info, int base, double minSynapticDelay, SimulatorParser simulatorParser, Seed seed, Experiment experiment)
PMainBK(Network network, Object lock, double minDelay, double freq, double weight, Seed idum) Deprecated.
SimulatorParser(Seed idum, Document doc)
SimulatorParser(Seed idum, File modelFile)
Stimulus(ModelFactory modelFactory, SimulatorParser simulatorParser, double strength, int type, double onTime, double offTime, double freq, double decay, Seed seed, int channel)