KEDRI-AUT / snn-encoder-tools
Data encoders
☆32Updated 4 years ago
Alternatives and similar repositories for snn-encoder-tools:
Users that are interested in snn-encoder-tools are comparing it to the libraries listed below
- A Spiking Neural Network encoder for time series data☆21Updated 3 years ago
- Supervised Spiking Network☆79Updated 2 years ago
- This repository contains an implementation of the SNN algorithm NeuCube for EEG brain data classification.☆22Updated 6 years ago
- spiking-neural-networks☆36Updated last month
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆36Updated 2 years ago
- ☆37Updated last year
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆12Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆100Updated 5 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 7 years ago
- Spiking Convolutional Neural Networks☆66Updated 6 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
- ☆35Updated 3 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆17Updated 11 years ago
- Encoders for turning real-valued data into spike trains.☆11Updated 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
- Tutorial for surrogate gradient learning in spiking neural networks☆42Updated 7 months ago
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Updated 7 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 2 years ago
- Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…☆13Updated 6 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆156Updated 5 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆30Updated 10 months ago
- ☆33Updated 4 years ago
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆32Updated 6 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 8 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
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆31Updated 4 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
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 4 years ago