npvoid / neural_heterogeneityLinks
☆31Updated 7 months ago
Alternatives and similar repositories for neural_heterogeneity
Users that are interested in neural_heterogeneity are comparing it to the libraries listed below
Sorting:
- ☆93Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆103Updated 5 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated last year
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- ☆45Updated 3 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- Supervised Spiking Network☆81Updated 3 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆20Updated 3 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- ☆42Updated 5 years ago
- Spatio-temporal BP for SNNs☆231Updated 3 years ago
- ☆13Updated 4 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 3 years ago
- ☆70Updated 3 years ago
- ☆44Updated last year
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆26Updated 6 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- ☆38Updated 3 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆62Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆326Updated last year
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Updated 5 years ago
- Spiking 🧠 and artificial 🤖 RNN solutions to Speech Commands Dataset 🗣️ in TensorFlow☆13Updated 4 years ago