Connectionists: Code release: SpykeTorch

[Timothée Masquelier]

We are proud to release our SpykeTorch open source code!
https://github.com/miladmozafari/SpykeTorch

SpykeTorch is an efficient PyTorch-based simulator of convolutional spiking
neural networks, in which the neurons emit at most one spike per stimulus,
and use rank-order-coding.
It currently supports the STDP and Reward-modulated STDP learning rules.
It can reproduce various recent papers by us and others.

A Jupyter tutorial is provided, and an extensive documentation can be found
here: http://cnrl.ut.ac.ir/SpykeTorch/doc/

See also the SpykeTorch paper:
https://www.frontiersin.org/articles/10.3389/fnins.2019.00625/

Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini and Timothée
Masquelier
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