Marijn van Vliet

Academy Research Fellow
Academy Research Fellow
T314 Dept. Neuroscience and Biomedical Engineering

I’m a neuroscientist, studying the human brain. Through advanced data analysis of brain imaging data (EEG, MEG, fMRI) I try to understand how our brain performs complex cognitive tasks. Currently, my research focuses on language comprehension: “how does our brain recognize speech, words and pictures in an instant?”

Most of the time, I'm working on problems in the form of "extract evidence of process X happening in the brain from signal Y". Preferably, "process X" is something concrete that we are pretty sure must be happening and "signal Y" is data collected during a well thought-out experiment designed to elicit the process. My analysis methods currently include many types of linear models (multivariate regression, SVMs, beamformers, etc.), representational similarity analysis (RSA) and functional connectivity analysis.

As a proponent of open science, I always strive to publish my analysis pipelines, as well as contribute to various larger open source efforts, such as MNE-Python.

Research Group: Department of Neuroimaging and Biomedical Engineering: Imaging Language

List of publications and other research outputs: Aalto Research portal

Elsewhere:



Full researcher profile
https://research.aalto.fi/...

Contact information

Phone number
+358504079130

Areas of expertise

EEG, MEG, Computational neuroscience, Brain Research Unit, 3112 Neurosciences, Systemic and cognitive neuroscience

Publications

Cortical time-course of evidence accumulation during semantic processing

Gayane Ghazaryan, Marijn van Vliet, Lotta Lammi, Tiina Lindh-Knuutila, Sasa Kivisaari, Annika Hultén, Riitta Salmelin 2023 Communications Biology

Trials and tribulations when attempting to decode semantic representations from MEG responses to written text

Gayane Ghazaryan, Marijn van Vliet, Aino Saranpää, Lotta Lammi, Tiina Lindh-Knuutila, Annika Hultén, Sasa Kivisaari, Riitta Salmelin 2023 Language, Cognition and Neuroscience

Semantic feature norms : a cross-method and cross-language comparison

Sasa L. Kivisaari, Annika Hultén, Marijn van Vliet, Tiina Lindh-Knuutila, Riitta Salmelin 2023 Behavior Research Methods

Good scientific practice in EEG and MEG research Progress and perspectives

Guiomar Niso, Laurens Krol, Etienne Combrisson, Anne-Sophie Dubarry, Madison Elliott, Clément François, Yseult Héjja-Brichard, Sophie Herbst, Karim Jerbi, Vanja Kovic, Katia Lehongre, Steven Luck, Manuel Mercier, John C. Mosher, Yuri Pavlov, Aina Puce, Antonio Schettino, Daniele Schön, Walter Sinnott-Armstrong, Bertille Somon, Anđela Šoškić, Suzy Styles, Roni Tibon, Martina Vilas, Marijn van Vliet, Maximilien Chaumon 2022 NeuroImage

The neural representation of abstract words may arise through grounding word meaning in language itself

Annika Hulten, Marijn van Vliet, Sasa Kivisaari, Lotta Lammi, Tiina Lindh-Knuutila, Ali Faisal, Riitta Salmelin 2021 Human Brain Mapping

MNE-RSA

Marijn van Vliet 2020

Seven quick tips for analysis scripts in neuroimaging

Marijn van Vliet 2020 PLoS computational biology

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis

Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander P. Rockhill, Eric Larson, Mainak Jas, Alexandre Gramfort 2019 JOURNAL OF OPEN SOURCE SOFTWARE

Reconstructing meaning from bits of information

Sasa L. Kivisaari, Marijn van Vliet, Annika Hultén, Tiina Lindh-Knuutila, Ali Faisal, Riitta Salmelin 2019 Nature Communications

Post-hoc modification of linear models

Marijn van Vliet, Riitta Salmelin 2019 NeuroImage