realamirhe / awesome-computational-neuro-scienceLinks
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks π₯
β67Updated 6 months ago
Alternatives and similar repositories for awesome-computational-neuro-science
Users that are interested in awesome-computational-neuro-science are comparing it to the libraries listed below
Sorting:
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etβ¦β69Updated 7 years ago
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.β68Updated 3 years ago
- Cosyne workshop tutorial 2022β127Updated 3 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.β33Updated last year
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and itβ¦β32Updated 5 years ago
- A library for deep learning with Spiking Neural Networks (SNN).β38Updated last month
- Tutorial for surrogate gradient learning in spiking neural networksβ349Updated last year
- Basic SNN propogating spikes between LIF neuronsβ87Updated 7 years ago
- A brian2 extension to simulate spiking neural networks on GPUsβ66Updated last month
- Long short-term memory Spiking Neural Networksβ109Updated 5 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensorsβ32Updated last year
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Joβ¦β64Updated 5 years ago
- spiking-neural-networksβ38Updated 3 months ago
- Python exercises accompanying the book "Neuronal Dynamics"β273Updated last year
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.β397Updated 4 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphβ¦β75Updated last month
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.β170Updated 6 years ago
- β34Updated 5 years ago
- Brian 2 frontend to the GeNN simulatorβ48Updated last month
- β46Updated 3 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.β390Updated 3 years ago
- Event datasets and transforms.β265Updated 2 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.β44Updated last year
- Neuromorphic Intermediate Representation reference implementationβ143Updated this week
- β103Updated last year
- Neuromorphic mathematical optimization with Lavaβ63Updated this week
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU accelerationβ231Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.β45Updated last year
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models wβ¦β55Updated 2 months ago
- PyTorch implementation of SLAYER for training Spiking Neural Networksβ325Updated 7 months ago