Radboud University Nijmegen
Heyendaalseweg 135 6525AJ Nijmegen
Prof. dr. P.H.E. Tiesinga
00 31 (0)24 36 52232
The neuroinformatics department currently has three research themes. First, to understand processing of sensory information in the brain, and the modulation thereof by cognitive factors, at the level of networks of spiking neurons. This is accomplished by building biophysical models ranging in size from single neurons up to many hundred thousands of neurons. Second, to develop methods to analyze multivariate data recorded from the brain in order to quantify communication between cortical networks. Third, to test theoretical hypotheses at the cortical microcircuit level by recording from cultures and to use systems neuroscience approaches to determine the role of synchrony in communication between brain areas. We have computational facilities and expertise for large-scale model simulations and data analysis, as well as experimental facilities/expertise in systems neuroscience.
- Biomedical & health
- Computational neuroscience (Paul Tiesinga)
- Systems neuroscience (Francesco Battaglia, Lisa Genzel, Mike Cohen, Martha Havenith)
- Neuroinformatics (Paul Tiesinga, Rembrandt Bakker)
- psychiatric diseases
- Mechanisms for selective attention and neuronal oscillations
- neurodegenerative diseases
Expertise and Track Record
We are unique because we combine computational and experimental approaches in systems neuroscience. We adapt and use new technologies to record from many neurons simultaneously and analyze the resulting high dimensional data. Furthermore, we provide modeling expertise that can link molecular events inside cells to the formation of neural circuits and their dynamics.
We are participating in the Human Brain Project, for which we are developing tools and technologies to analyze biological data and to predict missing structural data. As part of this project we have adapted the socalled scalable brain atlas (see linked publication) and are building the morphology viewer.
As part of the European project Neuroseeker we have made models to understand the underlying mechanism of communication through coherence (see linked publication), and we have developed a new technique to extract the underlying dynamical networks from human stereoEEG data.
As part of the human brain project we integrate genetic data (RNA-seq, microarray) with anatomical data.
- Bakker, R., Tiesinga, P. & Kotter, R. (2015) The Scalable Brain Atlas: Instant Web- Based Access to Public Brain Atlases and Related Content. Neuroinformatics, 13, 353-‐366
- Ter Wal, M. & Tiesinga, P. H. Phase Difference between Model Cortical Areas Determines Level of Information Transfer. Front Comput Neurosci 11, 6, doi:10.3389/fncom.2017.00006 (2017).
We have contributed to the Dutch eScience centre and were responsible for the biomarker boosting eScience project. We are also part of large-scale European projects where we provide our theoretical and experimental technological expertise, such has the Human Brain Project (Paul Tiesinga, Task leader on Predictive Neuroinformatics), Neuroseeker (Paul Tiesinga, Workpackage leader computational models/Francesco Battaglia, Scientific Coordinator), Enlightenment (Francesco Battaglia, Work package leader) and MGate (ITN research network, Francesco Battaglia, coordinator).
- computational equipment
- behavioral setups
- electrophysiological recording and imaging setups