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

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

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.

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

Computational Cognitive Neuroscience textbook

螺旋熵减系统

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.

Blue Brain Python Optimisation Library

NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design 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

螺旋熵减理论

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

Inner ear models for Python

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

Code supporting 'Geometric constraints on human brain function'

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

Use DNNs to build encoding models of EEG visual responses.

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.

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)

Collection of tutorials about methods of computational neuroscience using Python

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