MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep learning software to decode EEG, ECG or MEG signals
Parameterizing neural power spectra into periodic & aperiodic components.
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)
[ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Automated rejection and repair of bad trials/sensors in M/EEG
Convolution dictionary learning for time-series
A dynamic connectome mapping module in python.
The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
Simulation and optimization of neural circuits for MEG/EEG source estimates
Representational Similarity Analysis on MEG and EEG data
Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist
Python package for power mapping and functional connectivity using DICS
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