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1.2.0
  • GETTING STARTED
    • Installation
    • Fundamentals of Sinabs
    • A quick (and over-simplified) introduction to spiking neurons
    • Quickstart Sinabs
    • Python versions, pyenv and pipenv
  • SINABS GALLERY
    • Neuron models
      • Exponential Leaky Layer (ExpLeak)
      • Adaptive Leaky Integrate and Fire (ALIF)
      • Integrate and Fire (IAF)
      • Leaky Integrate and Fire (LIF)
    • Spike functions
      • MultiSpike
      • SingleSpike
      • MaxSpike
    • Surrogate gradient functions
      • Gaussian
      • Heaviside
      • MultiGaussian
      • SingleExponential
      • PeriodicExponential
  • TUTORIALS
    • Training by backpropagation through time (BPTT)
    • Converting an ANN to an SNN
    • Scaling parameters for rate-coded conversion to SNNs
    • sinabs Tutorial 使用入门
  • HOW TOS
    • Training an ANN with fewer synops
    • Training an SNN with fewer synops
    • Change activations in spiking layers
  • PLUGINS
  • API REFERENCE
    • network
    • layers
      • StatefulLayer
      • SqueezeMixin
      • IAF
      • IAFSqueeze
      • IAFRecurrent
      • LIF
      • LIFSqueeze
      • LIFRecurrent
      • ALIF
      • ALIFRecurrent
      • ExpLeak
      • ExpLeakSqueeze
      • SpikingMaxPooling2dLayer
      • SumPool2d
      • Img2SpikeLayer
      • Sig2SpikeLayer
      • Cropping2dLayer
      • Repeat
      • FlattenTime
      • UnflattenTime
      • NeuromorphicReLU
      • QuantizeLayer
    • activation
      • SingleSpike
      • MultiSpike
      • MaxSpike
      • MembraneReset
      • MembraneSubtract
      • SingleExponential
      • PeriodicExponential
      • Heaviside
      • Gaussian
      • MultiGaussian
    • from_torch
    • SynOpCounter
    • utils
  • ABOUT
    • About this project
    • How is Sinabs different?
    • Contributing to sinabs
    • Release notes
Theme by the Executable Book Project
  • repository
  • open issue
  • suggest edit
  • .rst
Contents
  • Neuron models
  • Spike functions
  • Surrogate gradient functions

SINABS GALLERY

Contents

  • Neuron models
  • Spike functions
  • Surrogate gradient functions

SINABS GALLERY#

Neuron models#

Exponential Leaky Layer (ExpLeak)

Exponential Leaky Layer (ExpLeak)

Exponential Leaky Layer (ExpLeak)
Adaptive Leaky Integrate and Fire (ALIF)

Adaptive Leaky Integrate and Fire (ALIF)

Adaptive Leaky Integrate and Fire (ALIF)
Integrate and Fire (IAF)

Integrate and Fire (IAF)

Integrate and Fire (IAF)
Leaky Integrate and Fire (LIF)

Leaky Integrate and Fire (LIF)

Leaky Integrate and Fire (LIF)

Spike functions#

MultiSpike

MultiSpike

MultiSpike
SingleSpike

SingleSpike

SingleSpike
MaxSpike

MaxSpike

MaxSpike

Surrogate gradient functions#

Gaussian

Gaussian

Gaussian
Heaviside

Heaviside

Heaviside
MultiGaussian

MultiGaussian

MultiGaussian
SingleExponential

SingleExponential

SingleExponential
PeriodicExponential

PeriodicExponential

PeriodicExponential

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Python versions, pyenv and pipenv

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Neuron models

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