GeNN
2.2.3
GPU enhanced Neuronal Networks (GeNN)
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b
c
d
e
f
i
l
m
n
o
p
r
s
t
u
v
w
- b -
baserates :
classol
baseV :
inputSpec
- c -
cacheDir :
Schmuker2014_classifier
classLabel :
Schmuker2014_classifier
clearedDownDevice :
Schmuker2014_classifier
clusterSpikeCountAN :
Schmuker2014_classifier
connN :
SparseProjection
correctClass :
Schmuker2014_classifier
countAN :
Schmuker2014_classifier
countPN :
Schmuker2014_classifier
countPNAN :
Schmuker2014_classifier
countRN :
Schmuker2014_classifier
- d -
d_baserates :
classol
d_input1 :
classIzh
d_input2 :
classIzh
d_inputRates :
Schmuker2014_classifier
d_maxRandomNumber :
Schmuker2014_classifier
d_pattern :
classol
datasetName :
Schmuker2014_classifier
dnp :
NNmodel
dpNames :
neuronModel
,
postSynModel
,
weightUpdateModel
dps :
neuronModel
,
postSynModel
,
weightUpdateModel
dpsp :
NNmodel
dsp_w :
NNmodel
dt :
NNmodel
- e -
err :
errTupel
evntThreshold :
weightUpdateModel
extraGlobalNeuronKernelParameters :
neuronModel
extraGlobalNeuronKernelParameterTypes :
neuronModel
extraGlobalSynapseKernelParameters :
weightUpdateModel
extraGlobalSynapseKernelParameterTypes :
weightUpdateModel
- f -
final :
NNmodel
ftype :
NNmodel
- i -
id :
errTupel
ind :
SparseProjection
indInG :
SparseProjection
individualSpikeCountPN :
Schmuker2014_classifier
input1 :
classIzh
input2 :
classIzh
inputRates :
Schmuker2014_classifier
inputRatesSize :
Schmuker2014_classifier
inSyn :
NNmodel
- l -
log :
Schmuker2014_classifier
lrnGroups :
NNmodel
lrnSynGrp :
NNmodel
- m -
maxConn :
NNmodel
model :
classIzh
,
classol
,
neuronpop
,
Schmuker2014_classifier
- n -
N :
inputSpec
name :
NNmodel
,
Parameter
needEvntThresholdReTest :
NNmodel
needPostSt :
neuronModel
,
weightUpdateModel
needPreSt :
neuronModel
,
weightUpdateModel
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
- o -
offset :
classol
outputDir :
Schmuker2014_classifier
outSyn :
NNmodel
overallWinnerSpikeCountAN :
Schmuker2014_classifier
- p -
p_pattern :
classol
padSumLearnN :
NNmodel
padSumNeuronN :
NNmodel
padSumSynapseKrnl :
NNmodel
padSumSynDynN :
NNmodel
param_CONNECTIVITY_AN_AN :
Schmuker2014_classifier
param_CONNECTIVITY_PN_AN :
Schmuker2014_classifier
param_CONNECTIVITY_PN_PN :
Schmuker2014_classifier
param_CONNECTIVITY_RN_PN :
Schmuker2014_classifier
param_GLOBAL_WEIGHT_SCALING :
Schmuker2014_classifier
param_MAX_FIRING_RATE_HZ :
Schmuker2014_classifier
param_MAX_WEIGHT_PN_AN :
Schmuker2014_classifier
param_MIN_FIRING_RATE_HZ :
Schmuker2014_classifier
param_MIN_WEIGHT_PN_AN :
Schmuker2014_classifier
param_PLASTICITY_INTERVAL_MS :
Schmuker2014_classifier
param_SPIKING_ACTIVITY_THRESHOLD_HZ :
Schmuker2014_classifier
param_WEIGHT_DELTA_PN_AN :
Schmuker2014_classifier
param_WEIGHT_RN_PN :
Schmuker2014_classifier
param_WEIGHT_WTA_AN_AN :
Schmuker2014_classifier
param_WEIGHT_WTA_PN_PN :
Schmuker2014_classifier
pattern :
classol
plasticWeights :
Schmuker2014_classifier
pNames :
neuronModel
,
postSynModel
,
weightUpdateModel
postSynapsePara :
NNmodel
postSynapseType :
NNmodel
postSynDecay :
postSynModel
postSynIni :
NNmodel
postSyntoCurrent :
postSynModel
preInd :
SparseProjection
- r -
randa :
QTIsaac< ALPHA, T >::randctx
randb :
QTIsaac< ALPHA, T >::randctx
randc :
QTIsaac< ALPHA, T >::randctx
randcnt :
QTIsaac< ALPHA, T >::randctx
randmem :
QTIsaac< ALPHA, T >::randctx
randrsl :
QTIsaac< ALPHA, T >::randctx
recordingsDir :
Schmuker2014_classifier
remap :
SparseProjection
resetCode :
neuronModel
resetKernel :
NNmodel
revInd :
SparseProjection
revIndInG :
SparseProjection
RNtype :
NNmodel
- s -
sampleDistance :
Schmuker2014_classifier
seed :
NNmodel
simCode :
neuronModel
,
weightUpdateModel
simCode_supportCode :
weightUpdateModel
simCodeEvnt :
weightUpdateModel
simLearnPost :
weightUpdateModel
simLearnPost_supportCode :
weightUpdateModel
simLearnPostKernelParameters :
NNmodel
simLearnPostKernelParameterTypes :
NNmodel
size_g :
classol
st :
inputSpec
start :
stopWatch
stop :
stopWatch
sumDN :
classol
sumIzh1 :
classol
,
neuronpop
sumKC :
classol
sumLHI :
classol
sumNeuronN :
NNmodel
sumPExc :
classIzh
sumPInh :
classIzh
sumPN :
classol
supportCode :
neuronModel
,
postSynModel
synapseConnType :
NNmodel
synapseDelay :
NNmodel
synapseDeviceID :
NNmodel
synapseDynamics :
weightUpdateModel
synapseDynamics_supportCode :
weightUpdateModel
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
- t -
t :
inputSpec
theRates :
classol
thresholdConditionCode :
neuronModel
timestepsPerRecording :
Schmuker2014_classifier
timing :
NNmodel
tmpVarNames :
neuronModel
tmpVarTypes :
neuronModel
- u -
uniqueRunId :
Schmuker2014_classifier
- v -
V :
inputSpec
value :
Parameter
varNames :
neuronModel
,
postSynModel
,
weightUpdateModel
varTypes :
neuronModel
,
postSynModel
,
weightUpdateModel
vrData :
Schmuker2014_classifier
- w -
winningClass :
Schmuker2014_classifier
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