Abstract

Speaker: Dr Mats van Es, University of Oxford, UK

Title: Analysing electrophysiology data with osl-ephys.

Abstract: Most M/EEG labs have traditionally relied on MATLAB for their analyses, and many are now transitioning to Python because it’s free and the number of tools available is growing fast. I will present the osl-ephys toolbox, a package built on top of the widely adopted MNE -Python. This package provides unique analysis tools for magneto−/electro-encephalography (M/EEG) sensor and source space analysis, which can be used modularly. In particular, it facilitates processing large amounts of data using batch parallel processing, with high standards for reproducibility through a config API and log keeping, and efficient quality assurance by producing HTML processing reports. We further designed the toolbox to be easy to use for researchers new to electrophysiology or those transitioning into Python.

Bio: Mats is a postdoctoral researcher at the Oxford Centre for Human Brain Activity (OHBA) at the University of Oxford. Here, he works with Prof. Mark Woolrich on M/EEG methods, large scale networks, and MEG biomarkers for dementia. Before moving to Oxford, Mats obtained a BSc in Biophysics at Radboud University, and a MSc and PhD in Cognitive Neuroscience at the Donders Institute.

Venue: MRC CBU West Wing Seminar Room and Zoom https://us02web.zoom.us/j/82385113580?pwd=RmxIUmphQW9Ud1JBby9nTDQzR0NRdz09 (Meeting ID: 823 8511 3580; Passcode: 299077)