Index

A

accuracy() (slayerSNN.learningStats.learningStat method) animTD() (in module slayerSNN.spikeFileIO)

Assistant (class in slayerSNN.auto.assistant) averageBlock (class in slayerSNN.auto.loihi)

B

backward() (slayerSNN.quantizeParams.quantizeWeights static method)

C

clamp() (slayerSNN.auto.loihi.Network method) conv() (slayerSNN.slayer.spikeLayer method) (slayerSNN.slayerLoihi.spikeLayer method)

convBlock (class in slayerSNN.auto.loihi) convTranspose() (slayerSNN.slayer.spikeLayer method) (slayerSNN.slayerLoihi.spikeLayer method)

D

delay() (slayerSNN.slayer.spikeLayer method) delayShift() (slayerSNN.slayer.spikeLayer method) dense() (slayerSNN.slayer.spikeLayer method) (slayerSNN.slayerLoihi.spikeLayer method)

denseBlock (class in slayerSNN.auto.loihi) dropout() (slayerSNN.slayer.spikeLayer method)

E

encode1DnumSpikes() (in module slayerSNN.spikeFileIO) encode1Dspikes() (in module slayerSNN.spikeFileIO) encode2Dspikes() (in module slayerSNN.spikeFileIO)

encode3Dspikes() (in module slayerSNN.spikeFileIO) encodeNpSpikes() (in module slayerSNN.spikeFileIO) event (class in slayerSNN.spikeFileIO)

F

flattenBlock (class in slayerSNN.auto.loihi) forward() (slayerSNN.auto.loihi.averageBlock method) (slayerSNN.auto.loihi.convBlock method) (slayerSNN.auto.loihi.denseBlock method) (slayerSNN.auto.loihi.flattenBlock method) (slayerSNN.auto.loihi.Network method) (slayerSNN.auto.loihi.poolBlock method) (slayerSNN.quantizeParams.quantizeWeights static method)

G

genModel() (slayerSNN.auto.loihi.Network method)

getClass() (slayerSNN.spikeClassifier.spikeClassifier static method) gradFlow() (slayerSNN.auto.loihi.Network method)

L

learningStat (class in slayerSNN.learningStats) learningStats (class in slayerSNN.learningStats)

load() (slayerSNN.learningStats.learningStats method) loadModel() (slayerSNN.auto.loihi.Network method) loss() (slayerSNN.learningStats.learningStat method)

M

module slayerSNN.auto.assistant slayerSNN.auto.dataset slayerSNN.auto.loihi slayerSNN.learningStats slayerSNN.optimizer slayerSNN.quantizeParams slayerSNN.slayer slayerSNN.slayerLoihi slayerSNN.slayerParams slayerSNN.slayerSNN slayerSNN.spikeClassifier slayerSNN.spikeFileIO slayerSNN.spikeLoss

N

Nadam (class in slayerSNN.optimizer)

Network (class in slayerSNN.auto.loihi) numSpikes() (slayerSNN.spikeLoss.spikeLoss method)

P

plot() (slayerSNN.learningStats.learningStats method) pool() (slayerSNN.slayer.spikeLayer method) (slayerSNN.slayerLoihi.spikeLayer method) poolBlock (class in slayerSNN.auto.loihi)

print() (slayerSNN.learningStats.learningStats method) psp() (slayerSNN.slayer.spikeLayer method) pspFilter() (slayerSNN.slayer.spikeLayer method) pspLayer() (slayerSNN.slayer.spikeLayer method)

Q

quantize() (in module slayerSNN.quantizeParams)

quantizeWeights (class in slayerSNN.quantizeParams)

R

read1DnumSpikes() (in module slayerSNN.spikeFileIO) read1Dspikes() (in module slayerSNN.spikeFileIO) read2Dspikes() (in module slayerSNN.spikeFileIO)

read3Dspikes() (in module slayerSNN.spikeFileIO) readNpSpikes() (in module slayerSNN.spikeFileIO) reset() (slayerSNN.learningStats.learningStat method)

S

save() (slayerSNN.learningStats.learningStats method) showTD() (in module slayerSNN.spikeFileIO) SlayerDataset (class in slayerSNN.auto.dataset) slayerSNN.auto.assistant module slayerSNN.auto.dataset module slayerSNN.auto.loihi module slayerSNN.learningStats module slayerSNN.optimizer module slayerSNN.quantizeParams module slayerSNN.slayer module slayerSNN.slayerLoihi module

slayerSNN.slayerParams module slayerSNN.slayerSNN module slayerSNN.spikeClassifier module slayerSNN.spikeFileIO module slayerSNN.spikeLoss module spike() (slayerSNN.slayer.spikeLayer method) spikeArrayToEvent() (in module slayerSNN.spikeFileIO) spikeClassifier (class in slayerSNN.spikeClassifier) spikeLayer (class in slayerSNN.slayer) (class in slayerSNN.slayerLoihi) spikeLoihi() (slayerSNN.slayerLoihi.spikeLayer method) spikeLoihiFull() (slayerSNN.slayerLoihi.spikeLayer method) spikeLoss (class in slayerSNN.spikeLoss) spikeTime() (slayerSNN.spikeLoss.spikeLoss method) step() (slayerSNN.optimizer.Nadam method)

T

test() (slayerSNN.auto.assistant.Assistant method) toSpikeArray() (slayerSNN.spikeFileIO.event method)

toSpikeTensor() (slayerSNN.spikeFileIO.event method) train() (slayerSNN.auto.assistant.Assistant method)

U

unpool() (slayerSNN.slayer.spikeLayer method) (slayerSNN.slayerLoihi.spikeLayer method)

update() (slayerSNN.learningStats.learningStat method) (slayerSNN.learningStats.learningStats method)

Y

yamlParams (class in slayerSNN.slayerParams)