Valentin Schmutz
Postdoc, Mathematical Institute, University of Oxford
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About
About
Valentin Schmutz is a theoretical neuroscientist and applied mathematician working with Prof. José A. Carrillo in the Mathematical Institute at the University of Oxford. Before joining Oxford, he did a postdoc with Prof. Kenneth D. Harris in the Queen Square Institute of Neurology at University College London. He studied Medicine at the University of Lausanne, Mathematics at École Normale Supérieure Paris, and completed his PhD in Neuroscience at École Polytechnique Fédérale de Lausanne where he was advised by Prof. Wulfram Gerstner and Prof. Eva Löcherbach. He was awarded a Royal Society Newton International Fellowship and is currently supported by a SNSF Postdoc.Mobility fellowship.
Research
Research
I work on the mathematical theory of emergent population dynamics in large networks of neurons. To this end, I combine methods from interacting particle systems, high-dimensional probability, graph theory, and partial differential equations; and collaborate closely with experimental and computational neuroscientists.
Selected publications
Selected publications
High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model (2025)
Schmutz V.*, Haydaroğlu A.*, Wang S., Feng Y., Carandini M., Harris K. D.
Advances in Neural Information Processing Systems (Oral)
Emergent rate-based dynamics in duplicate-free populations of spiking neurons (2025)
Schmutz V., Brea J., Gerstner W.
Physical Review Letters
Long time behavior of an age- and leaky memory-structured neuronal population equation (2022)
Fonte C., Schmutz V.
SIAM Journal on Mathematical Analysis
Mean-field limit of age and leaky memory dependent Hawkes processes. (2022)
Schmutz V.
Stochastic Processes and their Applications
Selected preprints
Selected preprints
Spikes can transmit neurons' subthreshold membrane potentials (2025)
Schmutz V.
Linking neural manifolds to circuit structure in recurrent networks (2024)
Pezon L., Schmutz V.*, Gerstner W.*
Dense networks of integrate-and-fire neurons: Spatially-extended mean-field limit of the empirical measure (2024)
Jabin P.-E., Schmutz V., Zhou D.
Some links
Some links
Profile pages: Google Scholar | ORCID | MathSciNet
Talk by Wulfram Gerstner on Schmutz et al., (2025) Phys. Rev. Lett.
EPFL news article on Schmutz et al., (2025) Phys. Rev. Lett.
Contact
Contact
Email: firstname.lastname@maths.ox.ac.uk
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