Theme 4: Natural Computing & Neurotechnology

Donders-BRAIN-NETWORKS-print This theme integrates theoretical, computational, experimental, and technological research at the Donders Institute and has as its scientific mission to uncover fundamental mechanisms of brain functions.

This common mission is realized via two distinct but complementary research lines: “Natural Computing” and “Neurotechnology”.

Natural Computing

The Natural Computing research line aims to understand the computational principles, mechanisms and algorithms that drive learning, inference and control in neural systems and replicate these processes in machines. To this end, we unite researchers in computational neuroscience, systems neuroscience, machine learning, and artificial intelligence. Research topics range from advances in machine learning and control theory to experimental and computational neuroscience to understanding the mechanism behind the way in which neurons, learning rules and network structures determine computation, so that and development of (biophysically realistic) models of neurons, synaptic learning rules and neural network architectures can be developed.

Together, these advances will provide insights into natural computing, ranging from information processing in single neurons to goal-directed behavior of natural agents in complex environments. Fundamental research will also promote breakthroughs in neuromorphic computing and other novel brain-based technologies. Moreover, it paves the way for more robust and efficient autonomous systems, thereby reducing the gap between artificial and natural intelligence.

Neurotechnology

The Neurotechnology research line aims to achieve technological breakthroughs in the measurement and control of neural activity and the associated behavior. Our objective is to reveal principles of brain function at the neuron, circuit and systems level by making use of state-of-the-art technology as applied to experimental data. This not only involves advances in brain recording, brain state decoding and control but also the development and active dissemination of novel algorithms that provide optimal interpretation and control of neural systems.

Breakthroughs in this area may provide insights into behaviour and mental processes that cannot be obtained otherwise, yield a causal understanding of brain circuits and restore sensory, cognitive and motor function in patients that suffer from a variety of brain disorders.

Contact
Fleur Zeldenrust, (speaker of this theme)
T: 024-3655931
E: f.zeldenrust@neurophysiology.nl

Secretary
Marie-Louise Beenen
T: 024-3653276
E: ml.beenen@donders.ru.nl