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


Full researcher profile
[email protected]


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


Convolutional networks can model the functional modulation of MEG responses during reading

Marijn van Vliet, Oona Rinkinen, Takao Shimizu, Anni-Mari Niskanen, Barry Devereux, Riitta Salmelin 2024

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

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

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

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

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

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


Marijn van Vliet 2020

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

Reconstructing meaning from bits of information

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