MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

For running psychology and neuroscience experiments

Deep and online learning with spiking neural networks in Python

Brian is a free, open source simulator for spiking neural networks.

A Python library for creating and simulating large-scale brain models

Deep learning software to decode EEG, ECG or MEG signals

Mother of All BCI Benchmarks

a python based software for visualization of neuroanatomical and morphological data.

A Python-based module for creating flexible and robust spike sorting pipelines.

EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.

Fast spike sorting with drift correction for up to a thousand channels

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

A toolbox for integrated information theory.

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Parameterizing neural power spectra into periodic & aperiodic components.

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

Brain Imaging Analysis Kit

Generate custom Docker and Singularity images, and minimize existing containers

AntroPy: entropy and complexity of (EEG) time-series in Python

Brain Modeling Toolkit