Brian is a free, open source simulator for spiking neural networks.

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its…

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.

Blue Brain Python Optimisation Library

NGC-Learn: Neurobiological Systems Design and Simulation in Python

Inner ear models for Python

Use DNNs to build encoding models of EEG visual responses.

Coursera Computational-NeuroScience course of the University of Washington

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

A large-scale spiking model of the vision-related areas of macaque cortex.

Electrophys Feature Extraction Library

Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...

YASS: Yet Another Spike Sorter

Higher Order Spectrum Estimation toolkit

A brian2 extension to simulate spiking neural networks on GPUs

Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

A virtual optogenetics laboratory

A Spiking Neural Network Architecture for MNIST Digit Recognition

ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks