Neuroscience

MOABB is a standardized benchmarking framework for Brain-Computer Interface (BCI) algorithms, providing a comprehensive collection of freely...

Braindecode is a Python toolbox for decoding raw electrophysiological brain signals (EEG, ECoG, MEG) using deep learning models. It provides dataset...

PsychoPy is an open-source Python library for designing and running behavioral science experiments, ranging from psychophysics studies to teaching...

Brian2 is a Python-based clock-driven simulator for spiking neural networks, designed for computational neuroscience research. It prioritizes ease of...

MNE-Python is a specialized research toolkit for analyzing magnetoencephalography (MEG), electroencephalography (EEG), and related neurophysiological...

dcm2niix converts neuroimaging data from DICOM format (medical imaging standard) to NIfTI format (neuroimaging research standard), with optional BIDS...

NMA Computational Neuroscience is a structured online course covering dynamic systems, machine learning, and stochastic processes applied to...

snnTorch is a PyTorch-based library for building and training spiking neural networks (SNNs), a brain-inspired alternative to conventional deep...

BrainFlow is a specialized library for acquiring, parsing, and analyzing biosensor data including EEG, EMG, and ECG signals from devices like OpenBCI...