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README.md

Open Computational Neuroscience Resources

Computational neuroscience means one of two things: 1. analysis of neuroscientific data, whether it be fMRI imaging data, electrode recordings from a mouse running in a maze, statistical modeling of that data, or something else, and 2. simulation of neural systems, including modeling many compartments of a single neuron, or large networks of model neurons with simple individual behavior. These endeavors initially require expensive data from wet-lab experiments to inform parameters, but most of the computational work can be accomplished using everyday, consumer-grade laptop and desktop computers! Indeed, the biggest barrier to entry is not hardware, data, or expense, but rather time and passion to learn the tools and underlying biology/mathematics needed for such computational science. Coupled with the great tools coming out of the modern Data Science movement, open data, open simulation models, and open analysis and simulation tools for computational neuroscience make it easier than ever to learn or even contribute to the study of the brain! The resources below should be more than enough to provide anyone with the means to begin learning or working in computational neuroscience, at no cost other than time and a modern personal computer.

Note: This is intended as a list of resources to help with neuroscientific pursuits, as opposed to artificial intelligence pursuits. More broadly, I've made a similar repo-list of general open science resources here.

Contributions are VERY welcome!



Meta-resources

Markup Languages for Model Specification

Open Code

Non-imaging Analysis
Imaging Analysis
Simulation
Auxiliary Simulator Software

Open Courses

Open Data

Open Data Schema
Open Model Repositories

Open Textbooks

Organizations and Communities

Reproducibility