NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python

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

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

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

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

Network inference via Event Space Linearization (ESL)

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

Spiking Decision Transformer: Efficient Reinforcement Learning with Event-Based Sequence Modeling