NMA Computational Neuroscience course
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Updated
Sep 21, 2022 - Jupyter Notebook
NMA Computational Neuroscience course
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
For running psychology and neuroscience experiments
A curated list of awesome neuroscience libraries, software and any content related to the domain.
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
A Python library for creating and simulating large-scale brain models
Brian is a free, open source simulator for spiking neural networks.
The MATLAB toolbox for MEG, EEG and iEEG analysis
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
A list of schools and researchers in computational neuroscience
Deep and online learning with spiking neural networks in Python
Python machine learning package based on sklearn API for multivariate signal processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry
Slides, paper notes, class notes, blog posts, and research on ML
Deep learning software to decode EEG, ECG or MEG signals
a python based software for visualization of neuroanatomical and morphological data.
EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.
A publicly-editable collection of open computational neuroscience resources
Mother of All BCI Benchmarks
A Software Framework for Neuromorphic Computing
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