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.
Deep learning software to decode EEG, ECG or MEG signals
A Python library for creating and simulating large-scale brain models
Mother of All BCI Benchmarks
A Python-based module for creating flexible and robust spike sorting pipelines.
A Python package to visualise neuroanatomical data in atlas space
Fast spike sorting with drift correction
EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
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.
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
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