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SUMMARY:Analysing electrophysiology data with osl-ephys - Dr Mats van Es\,
  University of Oxford\, UK 
DTSTART:20250414T113000Z
DTEND:20250414T123000Z
UID:TALK226348@talks.cam.ac.uk
CONTACT:Dace Apšvalka
DESCRIPTION:*Speaker:* Dr Mats van Es\, University of Oxford\, UK \n\n*Tit
 le:* Analysing electrophysiology data with osl-ephys.\n\n*Abstract:* Most 
 M/EEG labs have traditionally relied on MATLAB for their analyses\, and ma
 ny are now transitioning to Python because it’s free and the number of t
 ools available is growing fast. I will present the osl-ephys toolbox\, a p
 ackage built on top of the widely adopted MNE-Python. This package provide
 s unique analysis tools for magneto−/electro-encephalography (M/EEG) sen
 sor and source space analysis\, which can be used modularly. In particular
 \, it facilitates processing large amounts of data using batch parallel pr
 ocessing\, with high standards for reproducibility through a config API an
 d log keeping\, and efficient quality assurance by producing HTML processi
 ng reports. We further designed the toolbox to be easy to use for research
 ers new to electrophysiology or those transitioning into Python.\n\n*Bio:*
  Mats is a postdoctoral researcher at the Oxford Centre for Human Brain Ac
 tivity (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 Do
 nders Institute. \n\n*Venue:* MRC CBU West Wing Seminar Room and Zoom http
 s://us02web.zoom.us/j/82385113580?pwd=RmxIUmphQW9Ud1JBby9nTDQzR0NRdz09 (Me
 eting ID: 823 8511 3580\; Passcode: 299077)
LOCATION: MRC-CBU\, 15 Chaucer Road\, Cambridge
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