Natural Intelligence (NISYS GmbH)

Frankfurt am Main, Germany

Email

How do interactions among neurons give rise to collective dynamics and computation? I study this question using nonlinear dynamics, statistical physics and mean-field theory.

I develop exact and reduced models that connect the mechanisms of individual neurons and circuits to the activity of neuronal populations. My work examines how synchronization, adaptation, fluctuations and synaptic coupling shape neural dynamics, and which microscopic mechanisms a reduced model must preserve to remain both tractable and explanatory.

My emerging research direction connects these models to whole-brain dynamics and the interactions among brain, body and environment. I am interested in combining interpretable models with neural, physiological and behavioural observations.

I welcome collaborations across mathematical and computational neuroscience, especially projects that connect mechanistic models with experimental data.


Check also my older websites as one of the COSMOS ESRs, in the Coordination Dynamics group at the VU Amsterdam, and in the Nonlinear and Biomedical Physics group at Lancaster University.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101032806.