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0.3.5
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
Number of synaptic operations and how to minimise them
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