genn-team / ml_genn
A library for deep learning with Spiking Neural Networks (SNN).
☆28Updated last week
Alternatives and similar repositories for ml_genn:
Users that are interested in ml_genn are comparing it to the libraries listed below
- ☆89Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 9 months ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆63Updated 2 months ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆24Updated 2 months ago
- Brian 2 frontend to the GeNN simulator☆46Updated 6 months ago
- Coding projects by the community for the community☆16Updated last month
- A Loihi emulator based on Brian2☆28Updated 3 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆62Updated 2 months ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆46Updated this week
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆50Updated 2 years 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
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- ☆45Updated 2 years ago
- Neuromorphic Intermediate Representation reference implementation☆97Updated last week
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆68Updated 6 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆75Updated this week
- ☆29Updated 2 months ago
- ☆42Updated last year
- Cosyne workshop tutorial 2022☆115Updated 2 years ago
- ☆21Updated last month
- ☆33Updated 5 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Liquid State Machines in Python and NEST☆70Updated 4 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆57Updated 11 months ago
- Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …☆17Updated 2 years ago
- Neurons learn by predicting future activity☆27Updated 3 years ago
- Deep Spiking Reinforcement Learning☆23Updated last year