Team

A small group working where neuroscience meets computing — from the theory of spiking networks to the silicon that runs them. We’re always glad to hear from prospective students and collaborators.

Photos by Moritz Münch The Neurocomputation Lab, 2026
Portrait of Pascal Nieters

Pascal Nieters

Group Leader Neurocomputation

NowSpiking networks, Dendrites, ML in dynamical systems.

I think dendrites are key to understanding computation in the brain, and key to spiking systems that learn and compute effectively.

Portrait of Tim Bax

Tim Bax

PhD Student

NowWhat can single neurons compute? And what role do dendrites play in it?

Builds abstract and biophysical models incorporating dendrites and its computational mechanisms.

Portrait of Tim Kapferer

Tim Kapferer

PhD Student

NowSelf-directed curricula for multi-task learning

Asks whether a two-compartment RNN can choose its own next task.

Portrait of Viktoria Zemliak

Viktoria Zemliak

PhD Student

NowNeural codes between synchrony and rate.

TBD

Portrait of Hanna Willkomm

Hanna Willkomm

PhD Student

NowDendritic delays in self-organizing recurrent neural networks

Studies how delayed feedback shapes memory and temporal processing in neural networks.

Portrait of Nico Burgstaler

Nico Burgstaler

PhD Student

NowInfer paramerizations from AI-enabled simulations.

TBD

Portrait of Lukas Stelz

Lukas Stelz

PhD Student

NowLearn the dynamics of epidemics from data.

TBD

Portrait of Christina Vidovic

Christina Vidovic

Office Management

Keeps the lab running — grants, travel, and everything in between.