Computational Neuroscience GitHub Repositories

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

A list of schools and researchers in computational neuroscience

A publicly-editable collection of open computational neuroscience resources

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 evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

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

Computational Cognitive Neuroscience textbook

螺旋抗熵系统

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA and AMD HIP.

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

NGC-Learn: Computational Neuroscience and NeuroAI in Python

MNE-CPP: The C++ framework for real-time functional brain imaging.

Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington

螺旋抗熵理论

A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.

Energy-efficient Event-driven Spiking Neural Network accelerator for FPGA with PyTorch integration

Inner ear models for Python

Code supporting 'Geometric constraints on human brain function'

Use DNNs to build encoding models of EEG visual responses.

Auryn: A fast simulator for spiking neural networks with synaptic plasticity

Coursera Computational-NeuroScience course of the University of Washington

Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)

Neuromorphic Computing Engine. SNN AI Architecture base from biology

Collection of tutorials about methods of computational neuroscience using Python

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

A brian2 extension to simulate spiking neural networks on GPUs

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

BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.

Data and code for the Algonauts Project 2025 challenge.