4 citations · 8 across the 6 of their papers we have counts for
6 papers
The Belousov-Zhabotinsky reaction reveals two regimes of non-Arrhenius temperature scaling in relaxation oscillators
Simen Jacobs, Nikita Frolov, Panna Farkas +3
The period of biological and chemical oscillators scales with temperature in a characteristic way. Some oscillators are very well described by an Arrhenius law, while others show s…
Understanding the temperature response of biological systems: Part II -- Network-level mechanisms and emergent dynamics
Simen Jacobs, Julian B. Voits, Nikita Frolov +2
Building on the phenomenological and microscopic models reviewed in Part I, this second part focuses on network-level mechanisms that generate emergent temperature response curves.…
Understanding the temperature response of biological systems: Part I -- Phenomenological descriptions and microscopic models
Simen Jacobs, Julian Voits, Nikita Frolov +2
Virtually every biological rate depends on temperature, yet the resulting rate-temperature relationships often deviate strongly from simple Arrhenius behavior. In this first part o…
Machine learning identifies nullclines in oscillatory dynamical systems
Bartosz Prokop, Jimmy Billen, Nikita Frolov +1
We introduce CLINE (Computational Learning and Identification of Nullclines), a neural network-based method that uncovers the hidden structure of nullclines from oscillatory time s…
Spiral waves speed up cell cycle oscillations in the frog cytoplasm
Daniel Cebrián-Lacasa, Liliana Piñeros, Arno Vanderbeke +5
Spiral waves are a well-known phenomenon in excitable media, playing critical roles in biological systems such as cardiac tissues, where they are involved in arrhythmias, and in sl…
Enhancing model identification with SINDy via nullcline reconstruction
Bartosz Prokop, Nikita Frolov, Lendert Gelens
Many dynamical systems exhibit oscillatory behavior that can be modeled with differential equations. Recently, these equations have increasingly been derived through data-driven me…