spiking-networks

NGC-Learn: Computational Neuroscience and NeuroAI in Python

A curated list of awesome neuromorphic frameworks, libraries, resources, and other things

Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)

This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.

Nengo library of additional extensions

Reinforcement learning library for PyTorch.

Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.

investigating some dynamics of spiking neural networks

Fast and Efficient Random Neural Network Simulator implemented in Python

Spiking Decision Transformer: Local Plasticity, Phase-Coding, and Dendritic Routing for Low-Power Sequence Control

Companion code to Confavreux*, Ramesh*, Goncalves, Macke* & Vogels*, Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference, NeurIPS 2023

An implementation of SNN(3rd gen) with synaptic plasticity

Brainiac is an open-source app to figure out how the brain understands, so we can achieve AGI, Artificial General Intelligence. An overview video can be found at: https://www.youtube.com/watch?v=kQ3HaEFBPPo. Please see the website for more info or to download.

Network inference via Event Space Linearization (ESL)

Package implementing tools for studying causal pieces in spiking neural networks.

BEAM-Net, a principled neural architecture that unifies three foundational paradigms — modern Hopfield associative memory, Bayesian causal inference, and eventdriven spiking computation — into a single coherent framework with formal convergence guarantees

Matlab code for simulating an efficient E-I spiking network developed from the principle of efficient coding.

Spiky Neural Networks in Jax