Donders Biophysics
Donders Biophysics

Theme 4: Natural computing & neurotechnology

Theme 4 integrates theoretical, computational, experimental, and technological research at the Donders Institute and has as its scientific mission to uncover fundamental mechanisms of brain function. This common mission is realized via two distinct complementary research lines.

Natural Computing and Neurotechnology

Research within this theme is conducted via two distinct but complementary research lines: “Natural Computing” and “Neurotechnology”. The Natural Computing research line aims to understand the computational principles, mechanisms and algorithms that drive learning, memory, inference, perception and control in natural systems and replicate these processes in artificial systems. The Neurotechnology research line aims to achieve technological breakthroughs in the techniques for measurement, analysis and control of neural activity and the associated behavior of agents/animals. 

Contact

Each of the four research themes of the Donders Institute has a Theme Leader. They coordinate discussions on subjects, host theme meetings and take part in the Research Platform to discuss strategic policy aspects. Contact Fleur Zeldenrust or secretary Marie-Louise Beenen if you want to know more. Sander Keemink and David Norris are panel members of this theme.

Fleur Zeldenrust Marie-Louise Beenen

Research groups linked to this theme

Marcel van Gerven

Artificial Cognitive Systems

Marcel van Gerven

Artificial Cognitive Systems
Fleur Zeldenrust

Biophysics of neural computation

Fleur Zeldenrust

Biophysics of neural computation
Saskia Haegens

Brain Rhythms

Saskia Haegens

Brain Rhythms
Bernhard Englitz

Computational Neuroscience Lab

Bernhard Englitz

Computational Neuroscience Lab
Michael Tangermann

Data-driven Neurotechnology lab

Michael Tangerman

Data-driven Neurotechnology lab
Linda Geerligs

Dynamic and naturalistic cognitive neuroscience

Linda Geerligs

Dynamic and naturalistic cognitive neuroscience
Serge Thill

Foundations of Intelligent Technology (FoundIT)

Serge Thill

Foundations of Intelligent Technology (FoundIT)
Luca Ambrogioni

Generative Memory Lab

Luca Ambrogioni

Generative Memory Lab
Bert Kappen

Machine Learning (Biophysics)

Bert Kappen

Machine Learning (Biophysics)
Profielfoto Tom Heskes

Machine Learning (iCIS)

Tom Heskes

Machine Learning (iCIS)
Donders brain theme 4 natural computing and neurotechnology

MEG Methods

Robert Oostenveld

MEG Methods
José P. Marques

MR Structural Quantitative Imaging

José P. Marques

MR Structural Quantitative Imaging
David Norris

MR Techniques in Brain Function

David Norris

MR Techniques in Brain Function
Paul Tiesinga

Neuroinformatics

Paul Tiesinga

Eric Maris

Neurophysiology of Active Perception

Eric Maris

Neurophysiology of Active Perception
Donders brain theme 4 natural computing and neurotechnology

Physics of Machine Learning and Complex Systems

Ton Coolen

Physics of Machine Learning and Complex Systems
André Marquand, hoogleraar Computational Psychology

Predictive Clinical Neuroscience

André Marquand

Predictive Clinical Neuroscience
Johan Kwisthout, hoogleraar Probabilistic Graphical Models

Probabilistic Graphical Models

Johan Kwisthout

Probabilistic Graphical Models
Christian Beckmann

Statistics Imaging Neuroscience

Christian Beckmann

Statistics Imaging Neuroscience
Timo van Kerkoerle

Top-down vision

Timo van Kerkoerle

Top-down vision
Corette Wierenga

Synaptic Physiology

Corette Wierenga

Synaptic Physiology
Max Hinne

Uncertainty in Complex Systems

Max Hinne

Uncertainty in Complex Systems
Donders brain theme 4 natural computing and neurotechnology

Vision and Imaging Neuroscience

Koen Haak

Vision and Imaging Neuroscience
Eelke Spaak

Brain & Experience Lab

Eelke Spaak

Brain & Experience Lab
Donders brain theme 4 natural computing and neurotechnology

Neural codes and circuits

Martin Vinck

Neural codes and circuits
Donders brain theme 4 natural computing and neurotechnology

Population Dynamics of Learning and Memory

Federico Stella

Population Dynamics of Learning and Memory