Marijn van Vliet

Marijn van Vliet

Academy Research Fellow
Academy Research Fellow
T314 Dept. Neuroscience and Biomedical Engineering
Academy Research Fellow
Department of 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/...
Sähköposti
[email protected]
Puhelinnumero
+358504079130

Osaamisalueet

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

Julkaisut

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 eLife

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

Analysis of functional connectivity and oscillatory power using DICS

Marijn van Vliet, Mia Liljeström, Susanna Aro, Riitta Salmelin, Jan Kujala 2018 Frontiers in Neuroscience

Exploring the Organization of Semantic Memory through Unsupervised Analysis of Event-related Potentials

Marijn van Vliet, Marc Van Hulle, Riitta Salmelin 2018 Journal of Cognitive Neuroscience

How does the brain process mild versus strong violations in music?

Marie Eve Joret, Marijn van Vliet, Flavio Camarrone, Marc M. Van Hulle 2017 2017 22nd International Conference on Digital Signal Processing, DSP 2017

Single-trial ERP component analysis using a spatiotemporal LCMV beamformer

Marijn Van Vliet, Nikolay Chumerin, Simon De Deyne, Jan Roelf Wiersema, Wim Fias, Gerrit Storms, Marc M. Van Hulle 2016 IEEE Transactions on Biomedical Engineering

Amplitude of N400 component unaffected by lexical priming for moderately constraining sentences

Elvira Khachatryan, Marijn van Vliet, Simon De Deyne, Gerrit Storms, Hovhannes Manvelyan, Marc M. Van Hulle 2014 4th International Workshop on Cognitive Information Processing - Proceedings of CIP 2014

Response-related potentials during semantic priming

Marijn Van Vliet, Nikolay V. Manyakov, Gert Storms, Wim Fias, Jan R. Wiersema, Marc M. Van Hulle 2014 PloS one

Steady-state visual evoked potential-based computer gaming on a consumer-grade EEG device

Nikolay Chumerin, Nikolay V. Manyakov, Marijn Van Vliet, Arne Robben, Adrien Combaz, Marc M. Van Hulle 2013 IEEE Transactions on Computational Intelligence and AI in Games

Sampled sinusoidal stimulation profile and multichannel fuzzy logic classification for monitor-based phase-coded SSVEP brain-computer interfacing

Nikolay V. Manyakov, Nikolay Chumerin, Arne Robben, Adrien Combaz, Marijn Van Vliet, Marc M. Van Hulle 2013 Journal of Neural Engineering

Steady state visual evoked potential based computer gaming - The maze

Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle 2012 Intelligent Technologies for Interactive Entertainment - 4th International ICST Conference, INTETAIN 2011, Revised Selected Papers

Decoding SSVEP responses based on PARAFAC decomposition

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle 2012 BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing

Feasibility of error-related potential detection as novelty detection problem in P300 mind spelling

Nikolay V. Manyakov, Adrien Combaz, Nikolay Chumerin, Arne Robben, Marijn van Vliet, Marc M. Van Hulle 2012 Artificial Intelligence and Soft Computing - 11th International Conference, ICAISC 2012, Proceedings

Designing a brain-computer interface controlled video-game using consumer grade EEG hardware

Marijn van Vliet, Arne Robben, Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Marc M. Van Hulle 2012 2012 ISSNIP Biosignals and Biorobotics Conference

Looking around with your brain in a virtual world

Danny Plass Oude Bos, Matthieu Duvinage, Oytun Oktay, Jaime Delgado Saa, Huseyin Guruler, Ayhan Istanbullu, Marijn van Vliet, Bram Van De Laar, Mannes Poel, Linsey Roijendijk, Luca Tonin, Ali Bahramisharif, Boris Reuderink 2011 IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CCMB 2011

Brain-computer interface research at Katholieke Universiteit Leuven

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Patrick A. De Mazière, Marc M. Van Hulle 2011 Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11

Decoding phase-based information from steady-state visual evoked potentials with use of complex-valued neural network

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle 2011 Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings

Combining object detection and brain computer interfacing

Arne Robben, Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Marijn van Vliet, Marc M. Van Hulle 2011 2011 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2011

Opinion Elicitation in Second Life

Marijn van Vliet, Alena Neviarouskaya, Helmut Prendinger 2009 Intelligent Technologies for Interactive Entertainment - Third International Conference, INTETAIN 2009, Proceedings