XiaoquinNUDT / Three-SNN-learning-algorithms-in-Brian2Links
The repository offer the simulation scripts of three different single-layer SNN learning algorihtms proposed by Querlioz, Diehl and this author.
☆15Updated 5 years ago
Alternatives and similar repositories for Three-SNN-learning-algorithms-in-Brian2
Users that are interested in Three-SNN-learning-algorithms-in-Brian2 are comparing it to the libraries listed below
Sorting:
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆133Updated 4 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆15Updated 2 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆166Updated 6 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 8 years ago
- ☆348Updated 3 years ago
- ☆70Updated 3 years ago
- 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
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆378Updated 2 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 6 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆11Updated 4 years ago
- A spiking neural network undergoes plastic changes based on the timing of neural spikes (MATLAB).☆10Updated 10 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆35Updated 3 years ago
- spiking-neural-networks☆37Updated 6 months ago
- Spatio-temporal BP for SNNs☆229Updated 3 years ago
- ☆253Updated 4 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆30Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 2 years ago
- Convolutional spiking neural network implementing STDP☆20Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆103Updated 5 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆42Updated 11 months ago
- Software framework for Designing and Mapping a CNN onto neuromorphic chip with crossbar array of synapses.☆11Updated 5 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆26Updated 2 months ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated 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
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Updated 6 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago