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0.3.2
GETTING STARTED
Installation
Fundamentals of Sinabs
A quick (and over-simplified) introduction to spiking neurons
Quickstart Sinabs
Python versions, pyenv and pipenv
TUTORIALS
Training by backpropagation through time (BPTT)
Converting an ANN to an SNN
sinabs Tutorial 使用入门
Choosing a neuron model
Changing activations in spiking layers
PLUGINS
API REFERENCE
network
layers
IAF
LIF
ALIF
ExpLeak
activation
spike generation
reset mechanisms
surrogate gradients
from_torch
SynOpCounter
ABOUT
About this project
How is Sinabs different?
Contributing to sinabs
Release notes
repository
open issue
suggest edit
.rst
.pdf
API REFERENCE
API REFERENCE
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network
layers
Main spiking layers
IAF
IAFRecurrent
IAFSqueeze
LIF
LIFRecurrent
LIFSqueeze
ALIF
ALIFRecurrent
Non-spiking layers
ExpLeak
ExpLeakSqueeze
Pooling
Conversion from images / analog signals
Parent layers
Auxiliary layers
ANN layers
activation
spiking activation
spike generation
SingleSpike
MultiSpike
reset mechanisms
MembraneReset
MembraneSubtract
surrogate gradients
Heaviside
MultiGaussian
SingleExponential
from_torch
SynOpCounter
SNNSynOpCounter
SynOpCounter