Neuroscience

Library for creating and simulating large-scale brain models.

Timeseries analysis for neuroscience data.

Module for performing statistical learning/machine learning on NeuroImaging data.

Toolbox for analysis of MR diffusion imaging.

Community-driven software for processing time-resolved neural signals including electroencephalography (EEG) and magnetoencephalography (MEG).

Provides read and write access to some common medical and neuroimaging file formats.

Package for running psychology and neuroscience experiments. It allows for creating psychology stimuli in Python.

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

Free, open source simulator for spiking neural networks.

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments.

Package for simulating spiking neural networks for reinforcement & machine learning.

Framework designed to unify spike-sorting technologies

Toolbox for MEG and EEG analysis.

Minimalistic visualiser that can perform ray-traced rendering of neurons. Ray-tracing can help to highlight areas of neural circuits where cells touch each other and where synapses are being created leading to a better understanding of how individual cells and subsequently the brain functions.

Library exposing set of web-based 3D visualization tools primarily targetting neuroimaging.

Package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.

Package for performing graph theory analyses of brain MRI data.