logo

1.0.0
  • 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
      • SingleSpike
      • MultiSpike
      • MaxSpike
    • Surrogate gradient functions
      • MultiGaussian
      • Heaviside
      • SingleExponential
      • PeriodicExponential
  • TUTORIALS
    • Training by backpropagation through time (BPTT)
    • Converting an ANN to an SNN
    • sinabs Tutorial 使用入门
  • HOW TOS
    • Minimise the number of synaptic operations
    • Change activations in spiking layers
  • PLUGINS
  • API REFERENCE
    • network
    • layers
      • IAF
      • IAFSqueeze
      • IAFRecurrent
      • LIF
      • LIFSqueeze
      • LIFRecurrent
      • ExpLeak
      • ExpLeakSqueeze
      • ALIF
      • ALIFRecurrent
      • ExpLeak
      • ExpLeakSqueeze
      • SpikingMaxPooling2dLayer
      • SumPool2d
      • Img2SpikeLayer
      • Sig2SpikeLayer
      • StatefulLayer
      • SqueezeMixin
      • Cropping2dLayer
      • FlattenTime
      • UnflattenTime
      • NeuromorphicReLU
      • QuantizeLayer
    • activation
      • SingleSpike
      • MultiSpike
      • MaxSpike
      • MembraneReset
      • MembraneSubtract
      • SingleExponential
      • PeriodicExponential
      • Heaviside
      • MultiGaussian
    • from_torch
    • SynOpCounter
  • 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

API REFERENCE

API REFERENCE#

  • network
  • layers
    • Spiking
      • IAF
      • IAFSqueeze
      • IAFRecurrent
      • LIF
      • LIFSqueeze
      • LIFRecurrent
      • ExpLeak
      • ExpLeakSqueeze
      • ALIF
      • ALIFRecurrent
    • Non-spiking
      • ExpLeak
      • ExpLeakSqueeze
    • Pooling
      • SpikingMaxPooling2dLayer
      • SumPool2d
    • Conversion from images / analog signals
      • Img2SpikeLayer
      • Sig2SpikeLayer
    • Parent layers
      • StatefulLayer
      • SqueezeMixin
    • Auxiliary
      • Cropping2dLayer
      • FlattenTime
      • UnflattenTime
    • ANN layers
      • NeuromorphicReLU
      • QuantizeLayer
  • activation
    • Spike Generation
      • SingleSpike
      • MultiSpike
      • MaxSpike
    • Reset Mechanisms
      • MembraneReset
      • MembraneSubtract
    • Surrogate Gradient Functions
      • SingleExponential
      • PeriodicExponential
      • Heaviside
      • MultiGaussian
  • from_torch
  • SynOpCounter
    • SNNSynOpCounter
    • SynOpCounter

previous

PLUGINS

next

network

By employees of SynSense
© Copyright 2019-present, SynSense.