machenslab / spikesLinks
Code for spike coding networks
☆15Updated 4 years ago
Alternatives and similar repositories for spikes
Users that are interested in spikes are comparing it to the libraries listed below
Sorting:
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- ☆91Updated last year
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- ☆31Updated 5 months 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
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 5 months ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆17Updated 11 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 4 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- ☆34Updated 5 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆61Updated 4 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆31Updated last year
- Spiking Convolutional Neural Networks☆69Updated 6 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- ☆38Updated 3 years ago
- Liquid State Machines in Python and NEST☆72Updated 4 years ago
- ☆38Updated 4 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…☆14Updated 7 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated 11 months ago
- ☆11Updated last year
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 6 years ago
- repository for grid cell network code☆63Updated 2 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆58Updated last year