There are 76 repositories under computational-neuroscience topic.
Brian is a free, open source simulator for spiking neural networks.
A list of schools and researchers in computational neuroscience
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
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.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
螺旋熵减系统
Computational Cognitive Neuroscience textbook
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
螺旋熵减理论
Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Code supporting 'Geometric constraints on human brain function'
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.
Collection of tutorials about methods of computational neuroscience using Python
A large-scale spiking model of the vision-related areas of macaque cortex.
Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...
Use DNNs to build encoding models of EEG visual responses.
A brian2 extension to simulate spiking neural networks on GPUs
认知计算神经联盟 讨论会
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing
Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities
Leaky Integrate and Fire (LIF) model implementation for FPGA