brian-team / brianLinks
Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer developed, for new projects consider using Brian2 instead.
☆60Updated 2 years ago
Alternatives and similar repositories for brian
Users that are interested in brian are comparing it to the libraries listed below
Sorting:
- Event-Driven CD in Spiking Neural Networks☆20Updated 9 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆58Updated 7 years ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆102Updated 2 months ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Convolutional 3D Spiking Neural Network to classify videos☆14Updated 8 years ago
- Deep learning integration for Nengo☆90Updated 2 months ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago
- Event-based deep belief network offline training algorithm☆22Updated 11 years ago
- Brian 2 frontend to the GeNN simulator☆47Updated 9 months ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- SpiNNaker based Nengo simulator.☆13Updated 7 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 4 months ago
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆32Updated 3 years ago
- Reinforcement Learning for Spiking Neural Networks☆83Updated 9 months ago
- The SpiNNaker implementation of the PyNN neural networking language☆110Updated this week
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆58Updated last year
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆17Updated 5 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- Instructive examples using projects in the Nengo ecosystem☆23Updated last year
- NeuroTools is a collection of tools for representing and anlyzing neuroscientific data.☆32Updated 5 years ago
- Chaotic Recurrent Neural Network model☆17Updated 8 years ago
- ☆26Updated 11 months ago
- Tools for spike data analysis and visualization☆106Updated 2 years ago
- Code associated with the paper "Bicknell B.A. & Häusser M., (2021). A synaptic learning rule for exploiting nonlinear dendritic computati…☆8Updated 3 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- Spiking neuron integration for Keras☆32Updated 2 months ago
- Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)☆19Updated 7 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 2 years ago
- deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with…☆55Updated 2 years ago