ROK CESTNIK

Dr. ROK CESTNIK


Postdoc in Applied Mathematics, in the group of Erik Martens. Here is my CV.

Previous position: Postdoc at the group of Statistical Physics and Theory of Chaos.


INTERESTS

- ensembles of oscillators
- mean field descriptions
- dimensionality reduction
- co-evolutionary (adaptive) networks
- inference of phase dynamics
- inference of network connectivity
- reservoir computing
- machine learning

PUBLICATIONS

Title Link Citation Extra Year
Two-phase quadratic integrate-and-fire neurons: Exact low-dimensional description for ensembles of finite-voltage neurons Link Cite Code 2026
Next-Generation Reservoir Computing for Dynamical Inference Link, arXiv Cite Code 2026
Exact Dimensional Reduction for Quasi-Linear ODE Ensembles arXiv (2025)
Low-dimensional dynamics of globally coupled complex Riccati equations: Exact firing-rate equations for spiking neurons with clustered substructure Link, arXiv Cite 2025
Continuum limit of the adaptive Kuramoto model Link, arXiv Cite 2025
Integrability of a globally coupled complex Riccati array:
quadratic integrate-and-fire neurons, phase oscillators and all in between
Link, arXiv Cite Quasi-integrable Arrays: The Family Grows 2024
Exact finite-dimensional description for networks of globally coupled spiking neurons Link, arXiv Cite 2023
Inferring oscillator's phase and amplitude response from a scalar signal exploiting test stimulation Link, arXiv Cite Presentation, Code 2022
Exact finite-dimensional reduction for a population of noisy oscillators and its link to Ott-Antonsen and Watanabe-Strogatz theories Link, arXiv Cite Presentation 2022
Hierarchy of exact low-dimensional reductions for populations of coupled oscillators Link, arXiv Cite 2022
Impact of local network characteristics on network reconstruction Link, arXiv Cite 2021
Inferring the dynamics of oscillatory systems using recurrent neural networks Link, arXiv Cite Code 2019
Inferring the phase response curve from observation of a continuously perturbed oscillator Link, arXiv Cite Code 2018
Reconstructing networks of pulse-coupled oscillators from spike trains Link, arXiv Cite Code, Demo 2017


CHECK OUT MY THESIS:

Inferring oscillatory dynamics from data University link Cite Cover


AWARDS

Editor's suggest Physical Review Letter 2024
Best talk from an early career researcher 2022


CONTACT

Lund University
Center for Mathematical Sciences
rok.cestnik[at]math.lth.se