GitHub - guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP: What 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. - discu.eu

Linking pages

Spiking Neural Network (SNN) with PyTorch: towards bridging the gap between deep learning and the human brain https://guillaume-chevalier.com/spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp-hebbian-learning/ 0 comments

Linked pages

Creative Commons — Attribution-ShareAlike 4.0 International — CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/ 8 comments
GitHub - guillaume-chevalier/LSTM-Human-Activity-Recognition: Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition 8 comments
Neural Network 3D Simulation - YouTube https://www.youtube.com/watch?v=3JQ3hYko51Y 0 comments
Smerity.com: Understanding the Mixture of Softmaxes (MoS) http://smerity.com/articles/2017/mixture_of_softmaxes.html 0 comments
MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges http://yann.lecun.com/exdb/mnist/ 0 comments
Long-term potentiation - Wikipedia https://en.wikipedia.org/wiki/Long-term_potentiation 0 comments

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