New publication on MEG oscillations and learning

From Dr. Irene van de Vijver, featuring special guest Arjan Hillebrand.

Two Radboud Summer Schools approaching!

Participants will learn about neural time series analysis, synchronization, statistics, multivariate source separation, and more.

New online course on multivariate neural data analysis

Covariance-based dimension-reduction and source-separation methods for multivariate data. Most examples use simulated and real EEG data, but the methods are valid for any multichannel time series data.

The brains and their vehicles

Mike X Cohen
PI (aka the boss)

Likes to analyze data, talk science, look at purple, and eat dark chocolate.
Download CV.

Piray Atsak
jPI (own veni)

Likes to study endocanabanoid system and development, and check out the music scene in NYC.

Paul Anderson
postdoc (Hypatia)

Likes to study the dopamine system, and listen to good music.

Nils Zuiderveen Borgesius
postdoc (ERC)

Likes to study the prefrontal-parietal-collicular system, and experiment with facial hair.

Arthur Sergio Cavalcanti de França
postdoc (ERC)

Likes to study SOM/PVB interneurons in cortico-cortical synchronization, and travel between warm and cold places (Brazil and Sweden).

Sjef van Hulten
technician (Hypatia)

Likes to work with animals and build perfect equipment, study the dopamine system, and listen to good music.

Nader Marzban
PhD student (Hypatia)

Likes to study the dopamine system, and listen to Iranian music and cook Iranian food.
Donders site.

Ashutosh Mishra
PhD student (ERC)

Likes to analyze data and understand multidimensional networks, and play volleyball.
Donders site.

Mitchel Stokkermans
PhD student (RUMC junior-round)

Likes to study human error detection and cognitive control, practise meditation, organize social events and is a funky/groovy house music DJ.
Research Gate.

Marrit Zuure
PhD student (ERC)

Likes to build biophysical models of cortical circuits and apply information theory to understand neural representations, and tend to tarantulas and contemplate Oxford commas.
Research Gate.

Glass planet

Calming to look at.


Lab projects

Brief descriptions

Electrophysiological signature of response conflict

”Response conflict” is the feeling you have when you are about to walk into another person and don’t know whether you should go left or right. We study the unique signature in human EEG of response conflict, which is termed ”midfrontal theta.”

Mechanisms of PFC theta oscillations

What neural circuit mechanisms produce midfrontal theta and conflict computations? This is an important question, yet has no good answer. We use high-density multisite and multiarea electrophysiology in combination with optogenetics and electrical microstimulation (in rodents) to discover circuit mechanisms of frontal theta. These findings are integrated with biophysical computational models.

Pic 02

Phasic dopamine and neural synchronization

We use large-scale electrophysiology and optogenetics in Th:Cre rats to understand how optically indiced phasic up/down-regulation of dopamine regulates synchronization in PFC-striatal-VTA circuits.

Data analysis methods development and evaluation

Neuroscience is awash with data analysis methods, yet many methods lack rigorous testing of parameter ranges and violations of key assumptions in empirical data. We simulate EEG and LFP data to evaluate existing, and develop new, cutting-edge analysis methods. Simulations are useful because they maximize control over signal and noise characteristics.

Lab funding

ERC Starting

"Midfrontal theta: causes and consequences"

Hypatia fellowship

"Dopamine synchronizes neural networks over time and space"

Veni award
Piray Atsak

"Brain cannabinoids as a novel mechanisms for linking early-life stress to anxiety disorders"

Junior-researcher award
MXC and Dr. Vivian Weerdesteyn

"Brain rhythms of posture control: Cortical mechanisms and implications for Parkinson’s disease"
Funds Mitch Stokkermans.

Featured online courses

Full list of courses here

Linear algebra: theory and implementation

20 hours of clear explanations of concepts linear algebra, including vectors, matrix multiplications, least-squares projections, eigendecomposition, and singular value decomposition. The course has a strong focus on modern applications-oriented aspects of linear algebra. MATLAB and Python codes are included.

Understand the Fourier transform and its applications

Learn the theoretical and computational bases of the Fourier transform, and its implementation in modern applications in digital signal processing, data analysis, and image filtering. The course covers the basics and also advanced topics including effects of non-stationarities, spectral resolution, normalization, filtering. MATLAB and Python codes are included.


Analyzing neural time series data

A comprehensive guide to the theory and implementation of analyzing electrical brain signals (MEG, EEG, LFP). The focus is on time-, time-frequency- and synchronization-based analyses, including data visualization and statistics.

MATLAB for Brain and Cognitive Scientists

This book is designed to bring scientists in psychology, neuroscience, and related fields to intermediate and advanced levels of programming proficiency.

Fundamentals of time-frequency analysis

This low-cost book focuses on practical implementations of time-frequency analyses in Matlab/Octave. The book explains time-frequency analyses through written explanations and many figures, rather than through opaque mathematical equations.

Cycles in mind: How brain rhythms control perception and action

This book explores the cutting-edge neuroscientific research showing that these brain rhythms affect how you see, hear, and understand the world around you. Written for a non-scientific audience.