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1 Spiking-Neural-Network VS Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDPWhat about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
Spiking-Neural-Network reviews and mentions
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Don't Mess with Backprop: Doubts about Biologically Plausible Deep Learning
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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Shikhargupta/Spiking-Neural-Network is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of Spiking-Neural-Network is Python.
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