Lau Møller Andersen - PhD

Contact details

Email: lmandersen[at]cfin.au.dk

Phone: +45 4042 7564

Aarhus University

Visiting addresses:

CFIN cfin.au.dk

Nørrebrogade 44, Building 1A

8000 Aarhus C

Denmark

AIAS aias.au.dk

Høegh-Guldbergsgade 6B

8000 Aarhus C

Denmark

Department of Linguistics, Cognitive Science and Semiotics

Jens Chr. Skous Vej 2Building 1485, Room 524
Jens Christian Skous Vej 2
8000 Aarhus C
Denmark

LAU MØLLER ANDERSEN

Postdoc: Aarhus University, 2019-2022, working on cerebellar MEG

Postdoc: Karolinska Institutet 2015-2019: working on on-scalp MEG and somatosensation

PhD: Aarhus University 2016

Thesis: Spatio-temporal localization and task specificity in the search for neural correlates of perceptual consciousness

MSc (Cum Laude): University of Amsterdam 2011

Programme: Brain and Cognitive Sciences

BA: Aarhus University 2009

Programmes: Philosophy and Lingustics

Minimum Norm Estimate

Figure from:

Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation. Front. Neurosci. 12. https://doi.org/10.3389/fnins.2018.00006

On-scalp MEG

See publication

Andersen, L.M., Pfeiffer, C., Ruffieux, S., Riaz, B., Winkler, D., Schneiderman, J.F., Lundqvist, D., 2020. On-scalp MEG SQUIDs are sensitive to early somatosensory activity unseen by conventional MEG. NeuroImage 221, 117157. https://doi.org/10.1016/j.neuroimage.2020.117157

Beamformer

See workshops page

ABOUT ME

I am an assistant professor working at the Aarhus Institute of Advanced Studies (AIAS) also affilliated with CFIN (Center of Functionally Integrative Neuroscience) and the Department of Cognitive Science at Aarhus University, Denmark. I'm interested in anything related to magnetoencephalography (MEG), but sensory expectations, consciousness, cerebellar MEG and on-scalp MEG must be highlighted among my interests. I have also worked and published on on-scalp MEG and machine learning. Finally, I take a keen interest in coding using language such as MATLAB, Python and R and have published tutorial papers on how to do MEG analysis in FieldTrip and MNE-Python.

Since 2022, I am a member of the Lundbeck Foundation Investigators Network and the Danish Young Academy