Marijn van Vliet

According to our database, Marijn van Vliet authored at least 21 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Good scientific practice in EEG and MEG research: Progress and perspectives.

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

NeuroImage, 2022

2020

Seven quick tips for analysis scripts in neuroimaging.

Marijn van Vliet

PLoS Comput. Biol., 2020

Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data.

Marijn van Vliet, Riitta Salmelin

NeuroImage, 2020

2019

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

Stefan Appelhoff, Matthew Sanderson, Teon Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Alexandre Gramfort, Mainak Jas

J. Open Source Softw., 2019

Guidelines for data analysis scripts.

Marijn van Vliet

CoRR, 2019

2018

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

Marijn van Vliet, Marc M. Van Hulle, Riitta Salmelin

J. Cogn. Neurosci., 2018

2017

How does the brain process mild versus strong violations in music? A pilot study using event-related potentials.

Marie-Eve Joret, Marijn van Vliet, Flavio Camarrone, Marc M. Van Hulle

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

2016

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

IEEE Trans. Biomed. Eng., 2016

2014

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

Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013

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

IEEE Trans. Comput. Intell. AI Games, 2013

2012

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

Proceedings of the Artificial Intelligence and Soft Computing, 2012

Decoding SSVEP Responses based on Parafac Decomposition.

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the BIOSIGNALS 2012, 2012

2011

Combining object detection and brain computer interfacing: Towards a new way of subject-environment interaction.

Arne Robben, Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Decoding phase-based information from SSVEP recordings: A comparative study.

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 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

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

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

Proceedings of the Intelligent Technologies for Interactive Entertainment, 2011

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

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Subject-adaptive steady-state visual evoked potential detection for brain-computer interface.

Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011

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

Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011

2010

Guessing What's on Your Mind: Using the N400 in Brain Computer Interfaces.

Marijn van Vliet, Christian Mühl, Boris Reuderink, Mannes Poel

Proceedings of the Brain Informatics, International Conference, 2010

2009

Opinion Elicitation in Second Life.

Marijn van Vliet, Alena Neviarouskaya, Helmut Prendinger

Proceedings of the Intelligent Technologies for Interactive Entertainment, 2009