nmi-lab / torchneuromorphicLinks
Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
☆32Updated last year
Alternatives and similar repositories for torchneuromorphic
Users that are interested in torchneuromorphic are comparing it to the libraries listed below
Sorting:
- ☆46Updated 3 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆64Updated 5 years ago
- ☆42Updated 6 years ago
- Long short-term memory Spiking Neural Networks☆109Updated 5 years ago
- Supervised Spiking Network☆82Updated 3 years ago
- ☆38Updated 3 years ago
- ☆31Updated last year
- ☆103Updated last year
- Spiking Convolutional Neural Networks☆68Updated 7 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Updated last year
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆50Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 years ago
- Spiking 🧠 and artificial 🤖 RNN solutions to Speech Commands Dataset 🗣️ in TensorFlow☆13Updated 4 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated 2 years ago
- ☆13Updated 5 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 5 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆57Updated 3 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Updated 6 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆325Updated 7 months ago
- Basic SNN propogating spikes between LIF neurons☆87Updated 7 years ago
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆32Updated 5 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆47Updated last year
- Implementation of Long Short Term Spiking NN☆39Updated 3 years ago
- spiking-neural-networks☆38Updated 3 months ago
- ☆29Updated 5 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆59Updated 3 years ago
- ☆34Updated 5 years ago