NeuromorphicProcessorProject / snntoolbox_applications
Collection of Spiking Neural Network applications for SNN Toolbox.
☆31Updated 4 years ago
Alternatives and similar repositories for snntoolbox_applications:
Users that are interested in snntoolbox_applications are comparing it to the libraries listed below
- ☆42Updated 5 years ago
- ☆18Updated 3 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆46Updated 4 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆30Updated 9 months ago
- Spiking Convolutional Neural Networks☆66Updated 6 years ago
- ☆35Updated 3 years ago
- Supervised Spiking Network☆79Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆78Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- ☆45Updated 2 years ago
- ☆13Updated 4 years ago
- ☆38Updated 3 years ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆28Updated 3 years ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆27Updated 5 months ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆60Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆42Updated 6 months ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆28Updated 8 months ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆17Updated 4 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆27Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆100Updated 4 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆82Updated last year
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆12Updated 2 years ago
- ☆89Updated 11 months ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆23Updated 2 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 10 months ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆31Updated 5 months ago