Code for the paper "Model-based aversive learning in humans is supported by preferential task state reactivation"

Brain Time Toolbox: Warp electrophysiological data from clock time to brain time and analyze the dynamic neural patterns of cognitive processes.

A list of openly available software tools for (mostly human) electrophysiology.

A list of openly available datasets in (mostly human) electrophysiology.

Automatic EEG bad channel/epoch/ICA-component detection using FASTER

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

Automated sleep staging scoring and narcolepsy identification

Popular ECG QRS detectors written in python

Code to reproduce memory retrieval MEG analysis pipeline

Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"

Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"

Closed- and Open-loop (Slow Oscillations) Sleep Stimulation (Auditory) or Recording in full-PSG using OpenBCI Cyton. Allows for Closed- and Open-loop Targeted Memory Reactivation (TMR) or Slow-wave…

For my current research.

Classification and Explanation Model of Brain Signal based on Deep Learning Model

Deep learning software to decode EEG, ECG or MEG signals

Covariance Data Frames for Predictive M/EEG Pipelines

Python + EEG/MEG = PyEEG

Automatic EEG IC classification plugin for EEGLAB