Dr Valentin Schmutz
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model
Schmutz V.*, Haydaroğlu A.*, Wang S., Feng Y., Carandini M., Harris K. D.
Advances in Neural Information Processing Systems 2025 (Oral)
paper | recorded talk
Emergent rate-based dynamics in duplicate-free populations of spiking neurons
Schmutz V., Brea J., Gerstner W.
Physical Review Letters 134 (2025)
paper
Long time behavior of an age- and leaky memory-structured neuronal population equation
Fonte C., Schmutz V.
SIAM Journal on Mathematical Analysis 54.4 (2022)
paper
Mean-field limit of age and leaky memory dependent Hawkes processes
Schmutz V.
Stochastic Processes and their Applications 149 (2022)
paper | recorded talk
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.
Royal Society Newton International Fellowship (2023)