activateDirectInput(const string &, unsigned int type) | NNmodel | |
addNeuronPopulation(const string &, unsigned int, unsigned int, const double *, const double *) | NNmodel | |
addNeuronPopulation(const string &, unsigned int, unsigned int, const vector< double > &, const vector< double > &) | NNmodel | |
addSynapsePopulation(const string &name, unsigned int syntype, SynapseConnType conntype, SynapseGType gtype, const string &src, const string &trg, const double *p) | NNmodel | |
addSynapsePopulation(const string &, unsigned int, SynapseConnType, SynapseGType, unsigned int, unsigned int, const string &, const string &, const double *, const double *, const double *) | NNmodel | |
addSynapsePopulation(const string &, unsigned int, SynapseConnType, SynapseGType, unsigned int, unsigned int, const string &, const string &, const double *, const double *, const double *, const double *) | NNmodel | |
addSynapsePopulation(const string &, unsigned int, SynapseConnType, SynapseGType, unsigned int, unsigned int, const string &, const string &, const vector< double > &, const vector< double > &, const vector< double > &, const vector< double > &) | NNmodel | |
checkSizes(unsigned int *, unsigned int *, unsigned int *) | NNmodel | |
dnp | NNmodel | |
dpsp | NNmodel | |
dsp_w | NNmodel | |
dt | NNmodel | |
final | NNmodel | |
finalize() | NNmodel | |
findNeuronGrp(const string &) const | NNmodel | |
findSynapseGrp(const string &) const | NNmodel | |
ftype | NNmodel | |
initLearnGrps() | NNmodel | |
inSyn | NNmodel | |
lrnGroups | NNmodel | |
lrnSynGrp | NNmodel | |
maxConn | NNmodel | |
name | NNmodel | |
needEvntThresholdReTest | NNmodel | |
needSt | NNmodel | |
needSynapseDelay | NNmodel | |
neuronDelaySlots | NNmodel | |
neuronDeviceID | NNmodel | |
neuronGrpN | NNmodel | |
neuronHostID | NNmodel | |
neuronIni | NNmodel | |
neuronKernelParameters | NNmodel | |
neuronKernelParameterTypes | NNmodel | |
neuronN | NNmodel | |
neuronName | NNmodel | |
neuronNeedSpkEvnt | NNmodel | |
neuronNeedSt | NNmodel | |
neuronNeedTrueSpk | NNmodel | |
neuronPara | NNmodel | |
neuronPostSyn | NNmodel | |
neuronSpkEvntCondition | NNmodel | |
neuronType | NNmodel | |
neuronVarNeedQueue | NNmodel | |
NNmodel() | NNmodel | |
outSyn | NNmodel | |
padSumLearnN | NNmodel | |
padSumNeuronN | NNmodel | |
padSumSynapseKrnl | NNmodel | |
padSumSynDynN | NNmodel | |
postSynapsePara | NNmodel | |
postSynapseType | NNmodel | |
postSynIni | NNmodel | |
resetKernel | NNmodel | |
RNtype | NNmodel | |
scalarExpr(const double) const | NNmodel | |
seed | NNmodel | |
setConstInp(const string &, double) | NNmodel | |
setDT(double) | NNmodel | |
setGPUDevice(int) | NNmodel | |
setMaxConn(const string &, unsigned int) | NNmodel | |
setName(const string) | NNmodel | |
setNeuronClusterIndex(const string &neuronGroup, int hostID, int deviceID) | NNmodel | |
setPopulationSums() | NNmodel | |
setPrecision(FloatType) | NNmodel | |
setSeed(unsigned int) | NNmodel | |
setSpanTypeToPre(const string &) | NNmodel | |
setSynapseClusterIndex(const string &synapseGroup, int hostID, int deviceID) | NNmodel | |
setSynapseG(const string &, double) | NNmodel | |
setTiming(bool) | NNmodel | |
simLearnPostKernelParameters | NNmodel | |
simLearnPostKernelParameterTypes | NNmodel | |
sumNeuronN | NNmodel | |
synapseConnType | NNmodel | |
synapseDelay | NNmodel | |
synapseDeviceID | NNmodel | |
synapseDynamicsKernelParameters | NNmodel | |
synapseDynamicsKernelParameterTypes | NNmodel | |
synapseGrpN | NNmodel | |
synapseGType | NNmodel | |
synapseHostID | NNmodel | |
synapseIni | NNmodel | |
synapseInSynNo | NNmodel | |
synapseKernelParameters | NNmodel | |
synapseKernelParameterTypes | NNmodel | |
synapseName | NNmodel | |
synapseOutSynNo | NNmodel | |
synapsePara | NNmodel | |
synapseSource | NNmodel | |
synapseSpanType | NNmodel | |
synapseTarget | NNmodel | |
synapseType | NNmodel | |
synapseUsesPostLearning | NNmodel | |
synapseUsesSpikeEvents | NNmodel | |
synapseUsesSynapseDynamics | NNmodel | |
synapseUsesTrueSpikes | NNmodel | |
synDynGroups | NNmodel | |
synDynGrp | NNmodel | |
timing | NNmodel | |
~NNmodel() | NNmodel | |