Our submission for 2nd place to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain

Our submission for 2nd Place in Kaggle DecMeg Competition

ERDS maps

MNE-CAMCAN for processing the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) MEG dataset using MNE-Python

Repository to hold and describe MATLAB/Python scripts for "Oscillatory Networks of High-Level Mental Alignment: A Perspective-Taking MEG Study"

MATLAB code for extracting, converting and anonymising files in CTF MEG proprietary format.

Code for interfacing with the CBU MEG scanner

MATLAB/Fieldtrip Yokogawa Coregistration Scripts

MATLAB code for automatic identification of artefacts in MEG data based on amplitude thresholds. Includes data cleaning and data visualisation functions.

MATLAB code for quality control of peak frequency estimates via bootstrapping.

MATLAB code for MEG-BIDS. See also meg-bids-python (Python version).

MATLAB code for SVM classification of artefacts in MEG data. Includes features extraction and trial classification functions.

Tools for dealing with neuroimaging data in the BIDS structure

A Matlab software for Clinical Neural Engineering Laboratory.

These C/C++ source files consist of 150 classes, 300,000 lines of code, excluding a Qt-based user interface. Its functionality includes: GLM-statistics, hierarchical clustering, (non)-linear optimization, L1 and L2 norm minimization, Hungarian algorithm, EEG/MEG forward and inverse modelling, Boundary Element Method, spatio/temporal covariance m…

Dataanalysis of beta-band induced responses measured by magnetoencephalography (MEG) during passive movements of the index finger in Parkinson's patients and healthy controls

Matlab toolbox for univariate and multivariate analysis of EEG data in the time and frequency domains

Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017

An implementation of the FastICA algorithm for unsupervised spatio-temporal cleaning of CTF MEG data

Scripts to analyse "resting-state" and/or naturalistic viewing MEG data