k18shruti / SNN-for-Pattern-RecognitionLinks
A 3-layer SNN code for performing MNIST handwritten digit recognition using a supervised spike based learning rule
☆16Updated 6 years ago
Alternatives and similar repositories for SNN-for-Pattern-Recognition
Users that are interested in SNN-for-Pattern-Recognition are comparing it to the libraries listed below
Sorting:
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
 - Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆135Updated 4 years ago
 - Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆385Updated 2 years ago
 - Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆168Updated 6 years ago
 - Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
 - ☆354Updated 3 years ago
 - Implementation of the paper 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity' by Peter Diehl and Matth…☆13Updated 6 years ago
 - This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆84Updated 2 years ago
 - ☆255Updated 4 years ago
 - ☆70Updated 4 years ago
 - ☆42Updated 6 years ago
 - SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆37Updated 3 years ago
 - Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆27Updated 4 months ago
 - Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆48Updated 4 years ago
 - A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆131Updated 8 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 …☆30Updated 3 years ago
 - Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 7 years ago
 - A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆44Updated last year
 - ☆38Updated 4 years ago
 - One-Shot Object Appearance Learning using Spiking Neural Networks☆23Updated 6 years ago
 - Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆31Updated 3 years ago
 - Spatio-temporal BP for SNNs☆232Updated 3 years ago
 - FPGA based Leaky Integrate and Fire (LIF) neuron model accelerator for PyTorch☆84Updated 4 months ago
 - construct a spiking neural network☆23Updated 7 years ago
 - What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆270Updated 2 years ago
 - Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
 - Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
 - Repository for content for the AMLD2020 workshop "Spiking neural networks for real-time inference tasks"☆17Updated 5 years ago
 - training SNN with Resume algorithm☆11Updated 5 years ago
 - An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface☆12Updated 3 years ago