brian-team / brian2cuda
A brian2 extension to simulate spiking neural networks on GPUs
☆62Updated 2 months ago
Alternatives and similar repositories for brian2cuda:
Users that are interested in brian2cuda are comparing it to the libraries listed below
- Brian 2 frontend to the GeNN simulator☆46Updated 6 months ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆39Updated this week
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆45Updated this week
- Coding projects by the community for the community☆15Updated 3 weeks ago
- A library for deep learning with Spiking Neural Networks (SNN).☆28Updated this 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
- Tools to use with Brian 2, in particular for visualization☆16Updated 6 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆83Updated 2 years ago
- A large-scale spiking model of the vision-related areas of macaque cortex.☆71Updated 10 months ago
- Tutorial for surrogate gradient learning in spiking neural networks☆308Updated 7 months ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆23Updated 2 months ago
- Deep learning integration for Nengo☆89Updated 7 months ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 8 months ago
- ☆89Updated 11 months ago
- Long short-term memory Spiking Neural Networks☆101Updated 5 years ago
- A Loihi emulator based on Brian2☆25Updated 3 years ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆223Updated 7 months ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆100Updated this week
- ☆37Updated 4 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
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.☆15Updated last year
- The SpiNNaker implementation of the PyNN neural networking language☆106Updated this week
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆61Updated last month
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 2 years ago
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆43Updated last month