Marijn van Vliet
Department of Neuroscience and Biomedical Engineering

Marijn van Vliet

Postdoctoral Researcher

Contact information

Mobile phone
+358504079130
Full researcher profile
https://research.aalto.fi/...

Description

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:

 

Areas of expertise

EEG MEG Computational neuroscience Brain Research Unit

Publications

Department of Neuroscience and Biomedical Engineering

Post-hoc modification of linear models

Publishing year: 2019 NeuroImage
Department of Neuroscience and Biomedical Engineering

Seven quick tips for analysis scripts in neuroimaging

Publishing year: 2019 PLoS computational biology
Department of Neuroscience and Biomedical Engineering

Reconstructing meaning from bits of information

Publishing year: 2019 Nature Communications
Department of Neuroscience and Biomedical Engineering

Post-Hoc Modification of Linear Models

Publishing year: 2019
Department of Neuroscience and Biomedical Engineering

Analysis of functional connectivity and oscillatory power using DICS

Publishing year: 2018 Frontiers in Neuroscience
Department of Neuroscience and Biomedical Engineering

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

Publishing year: 2018 Journal of Cognitive Neuroscience
Department of Neuroscience and Biomedical Engineering

Conpy: a Python module for spectral power mapping and functional connectivity analysis using DICS

Publishing year: 2018
Department of Neuroscience and Biomedical Engineering

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

Publishing year: 2017 2017 22nd International Conference on Digital Signal Processing, DSP 2017
Not published at Aalto University

Single-trial ERP component analysis using a spatiotemporal LCMV beamformer

Publishing year: 2016 IEEE Transactions on Biomedical Engineering
Not published at Aalto University

Response-related potentials during semantic priming

Publishing year: 2014 PloS one