Connectivity algorithms that leverage the MNE-Python API.

Thomas Samuel Binns' Personal Website

A Python signal analysis toolbox for computing spectral-domain interactions using the bispectrum.

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

A conda-smithy repository for pybispectra.

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

Python port of the PARRM algorithm

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

Experimental paradigm functions.

Organization-wide options

Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

A toolbox that provides a common framework for benchmarks of multi-component signal processing methods.

a python3 version of matlab mTRF-Toolbox by Lalor Lab https://mtrfpy.readthedocs.io/

Real-time analysis of intracranial neurophysiology recordings.

A framework for real-time brain signal streaming with MNE-Python.

Sphinx extension for automatic generation of an example gallery

scikit-learn: machine learning in Python

Automatically process entire electrophysiological datasets using MNE-Python.

PTE Decode is an open-source software package for neural decoding.

script to convert MPL cmaps to an XML format readable by ITK-SNAP

A repo filled with exercises for learning coding and data analysis.

Simulation on different pipelines to analyse functional connectivity from EEG data

Parameterizing neural power spectra into periodic & aperiodic components.