Research output per year
Research output per year
Personal profile
Artistic and research interests
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:
- ResearcherID: K-7359-2015
- ORCID: 0000-0002-6537-6899
- Scopus: 50862343600
- ResearchGate
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctoral degree, Natural Sciences, Catholic University of Leuven
Award Date: 1 Oct 2015
Keywords
- EEG
- MEG
- Computational neuroscience
- Brain Research Unit
Fingerprint
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Trials and tribulations when attempting to decode semantic representations from MEG responses to written text
Ghazaryan, G., van Vliet, M., Saranpää, A., Lammi, L., Lindh-Knuutila, T., Hultén, A., Kivisaari, S. & Salmelin, R., 14 Jun 2023, In: Language, Cognition and Neuroscience. 12 p., 3273798.2023.2219353.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Downloads (Pure) -
Good scientific practice in EEG and MEG research Progress and perspectives
Niso, G., Krol, L., Combrisson, E., Dubarry, A-S., Elliott, M., François, C., Héjja-Brichard, Y., Herbst, S., Jerbi, K., Kovic, V., Lehongre, K., Luck, S., Mercier, M., Mosher, J., Pavlov, Y., Puce, A., Schettino, A., Schön, D., Sinnott-Armstrong, W., Somon, B., & 6 others, 15 Aug 2022, In: NeuroImage. 257, 29 p., 119056.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile9 Citations (Scopus)60 Downloads (Pure) -
The neural representation of abstract words may arise through grounding word meaning in language itself
Hulten, A., van Vliet, M., Kivisaari, S., Lammi, L., Lindh-Knuutila, T., Faisal, A. & Salmelin, R., 15 Oct 2021, In: Human Brain Mapping . 42, 15, p. 4973-4984 12 p., 25593.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Citations (Scopus)102 Downloads (Pure) -
MNE-RSA: Representational similarity analysis using MNE-Python datastructures
van Vliet, M., 21 Apr 2020Research output: Artistic and non-textual form › Software › Scientific
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Seven quick tips for analysis scripts in neuroimaging
van Vliet, M., 1 Mar 2020, In: PLoS computational biology. 16, 3, p. 1-10 10 p., e1007358.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile9 Citations (Scopus)113 Downloads (Pure)
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VanVliet_Marijn_AT_kulut: Unraveling language in the brain through biologically plausible modeling of interconnected cognitive systems
01/09/2021 → 31/12/2024
Project: Academy of Finland: Other research funding
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Van Vliet Marijn AT-palkka: Unraveling language in the brain through biologically plausible modeling of interconnected cognitive systems
01/09/2021 → 31/08/2026
Project: Academy of Finland: Other research funding
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Moving from observation to understanding in neuroscience: extending computational models to predict neuroimaging data
01/09/2017 → 31/12/2020
Project: Academy of Finland: Other research funding
Datasets
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wmvanvliet/pytorch_hmax: Version 0.2
van Vliet, M. (Creator), Zenodo, 2022
DOI: 10.5281/zenodo.6805833, https://zenodo.org/record/6805834
Dataset: Software or code
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MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis
Appelhoff, S. (Contributor), Sanderson, M. (Contributor), Brooks, T. L. (Contributor), van Vliet, M. (Contributor), Quentin, R. (Contributor), Holdgraf, C. (Contributor), Chaumon, M. (Contributor), Mikulan, E. (Contributor), Tavabi, K. (Contributor), Höchenberger, R. (Contributor), Welke, D. (Contributor), Brunner, C. (Contributor), Rockhill, A. P. (Contributor), Larson, E. (Contributor), Li, A. (Contributor), Gramfort, A. (Contributor), Jas, M. (Contributor), Rokem, A. (Creator), McCloy, D. (Creator), Hurst, A. J. (Creator), Lozano-Soldevilla, D. (Creator), Ort, E. (Creator), Knights, E. (Creator), Kalenkovich, E. (Creator), von Albedyll, F. (Creator), Wong, F. (Creator), King, J. (Creator), Niso Galán, J. G. (Creator), Koehler, R. (Creator), Luke, R. (Creator), Kern, S. (Creator), Kim, S. (Creator), Herbst, S. (Creator), Gupta, S. (Creator), Donoghue, T. (Creator), Mantilla Ramos, Y. J. (Creator), Huberty, S. (Creator), Scheltienne, M. (Creator), Saini, A. (Creator), Hebling Vieira, B. (Creator), Engemann, D. (Creator) & Gerster, M. (Creator), Zenodo, 2021
DOI: 10.5281/zenodo.3580272, https://zenodo.org/record/5720702 and 2 more links, https://zenodo.org/record/7234911, https://zenodo.org/record/7454942 (show fewer)
Dataset: Software or code
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wmvanvliet/mne-faster: Version 1.1
van Vliet, M. (Creator) & Koen, J. (Creator), Zenodo, 2022
Dataset: Software or code
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mne-tools/mne-python: v1.0.3
Larson, E. (Creator), Gramfort, A. (Creator), Engemann, D. A. (Creator), jaeilepp (Creator), Brodbeck, C. (Creator), Jas, M. (Creator), Brooks, T. L. (Creator), Sassenhagen, J. (Creator), Luessi, M. (Creator), Jean-Rémi, K. (Creator), McCloy, D. (Creator), Goj, R. (Creator), Favelier, G. (Creator), Höchenberger, R. (Creator), Brunner, C. (Creator), van Vliet, M. (Creator), Wronkiewicz, M. (Creator), Holdgraf, C. (Creator), Massich, J. (Creator), yousrabk (Creator), Leggitt, A. (Creator), Appelhoff, S. (Creator), Dykstra, A. R. (Creator), Trachel, R. (Creator), Luke, R. (Creator), lorenzo-desantis (Creator), Panda, A. (Creator), Magnuski, M. (Creator), Westner, B. (Creator) & dgwakeman (Creator), Zenodo, 2022
Dataset: Software or code
Activities
- 6 Conference presentation
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Post-hoc modification of linear models: combining machine learning with domain information to make solid inferences from noisy data
Marijn van Vliet (Speaker)
10 Jun 2019Activity: Talk or presentation types › Conference presentation
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Guidelines for data analysis scripts
Marijn van Vliet (Speaker)
10 May 2019Activity: Talk or presentation types › Conference presentation
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Post-hoc modification of linear models: combining machine learning with domain information to make solid inferences from noisy data
Marijn van Vliet (Speaker)
13 Mar 2019Activity: Talk or presentation types › Conference presentation
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Post-hoc modification of linear models: combining machine learning with domain information to make solid inferences from noisy data
Marijn van Vliet (Speaker)
9 May 2019Activity: Talk or presentation types › Conference presentation
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Exploring the organization of semantic memory through unsupervised analysis of event-related potentials
Marijn van Vliet (Speaker)
20 Apr 2017Activity: Talk or presentation types › Conference presentation