norse
pyN
norse | pyN | |
---|---|---|
1 | 1 | |
61 | 6 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | over 11 years ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | BSD 2-clause "Simplified" License |
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norse
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Don't Mess with Backprop: Doubts about Biologically Plausible Deep Learning
If you are interested in deep learning with spiking neural networks there is also the norse framework: https://github.com/electronicvisions/norse
pyN
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Don't Mess with Backprop: Doubts about Biologically Plausible Deep Learning
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
What are some alternatives?
bindsnet - Simulation of spiking neural networks (SNNs) using PyTorch.
Spiking-Neural-Network - Pure python implementation of SNN
snntorch - Deep and online learning with spiking neural networks in Python
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
tntorch - Tensor Network Learning with PyTorch