Don't Mess with Backprop: Doubts about Biologically Plausible Deep Learning

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • norse

    Deep learning for spiking neural networks (by electronicvisions)

  • If you are interested in deep learning with spiking neural networks there is also the norse framework: https://github.com/electronicvisions/norse

  • Spiking-Neural-Network

    Pure python implementation of SNN

  • I'm not very familiar with deep learning. How does this compare to the biomimicking Spike Time Dependent Plasticity of spiking neural networks?

    https://github.com/Shikhargupta/Spiking-Neural-Network#train...

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  • pyN

    Neuron(s)-based library in Python using numpy and Blender Game Engine.

  • Deep Learning has nothing to do with biophysical neuron simulation, even though there is a confusing overloading of the term "neural network". A good introduction to deep learning is this chapter: https://mlstory.org/deep.html.

    STDP falls under biophysical models of neuron simulation, where we try to faithfully reproduce biophysics of brain simulation (trivia: I started my undergrad in computational neuroscience and implemented STDP several times [1, 2, 3]). STDP is a learning mechanism, but it has not demonstrated the ability to learn as powerful models as DNN.

    [1] https://github.com/ericjang/pyN

    [2] https://github.com/ericjang/julia-NeuralNets

    [3] https://github.com/ericjang/NeuralNets

  • norse

    Deep learning with spiking neural networks (SNNs) in PyTorch.

  • That repo is slightly outdated, development now continues at https://github.com/norse/norse.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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