Biophysics of Neural Computation
The brain continuously processes information. The physical structure of the brain (its ‘hardware’) shapes this information processing and vice versa: the computations needed for information processing (the ‘software’) are adapted to the physical structure of the hardware. In the ‘Biophysics of Neural Computation’ group, we study the relationship between the physical properties of the brain and its information processing: how are neurons and networks formed so that they can perform functions such as perception? Which characteristics of neurons and networks enhance or limit information transfer? We as humans still strongly outperform machines and computers in tasks such as facial recognition or adaptation to changes in illumination. Understanding how the brain does this can help us improve the performance of such devices. My group studies these questions using a variety of theoretical methods, from (biophysical) neural network modelling to abstract coding models and advanced data analysis of experimental data. We collaborate closely with experimental neuroscientists, studying neurons, networks, and behaviour, unraveling together the fundamental functions of the brain.
Contact:
Dr. Fleur Zeldenrust
Assistant Professor
Department of Neurophysiology
Heyendaalseweg 135, postvak 33, kamer 02.204
6525 AJ Nijmegen, The Netherlands
tel +31 24 36 53195
f.zeldenrust@neurophysiology.nl
http://www.ru.nl/personen/zeldenrust-f/
Secretariat:
Marie-Louise Beenen
+31 24 36 53276
ml.beenen@donders.ru.nl
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Theme 4:
Natural Computing and Neurotechnology
Research Group
Biophysics of Neural Computation
Principal Investigator
Group members:
PhD candidates
Tido Bergmans
Tousif Jamal
Nishant Joshi
Filip Nivocky
Nicolas Rault
Zhengyu Tang
Tea Tompoš
(update October 2022)