Uploaded October 2025 | Updated September 2026, 2 weeks ago
Part of the Early Career Mathematicians Seminar Series.
On 9 October 2025, ECMs were joined by the winner of the 2024 Graham Hoare Prize, Ramón Nartallo-Kaluarachchi (Oxford), for his article on Mathematical Memory Machines.
Abstract:
Biological systems are characterised by their complexity. They are typically composed of heterogenous noisy interactions that violate symmetry and consume energy in order to facilitate a suite of functions. In this talk I will focus on the mathematics of stochastic processes in particular nonequilibrium steady-states and stochastic thermodynamics. I will introduce this framework and illustrate how it can reveal insight into the thermodynamics of biological and neural systems. I will focus on results from my own work analysing neural data and will also present a number of new ideas that bring together statistical physics stochastic dynamics networks discrete topology and machine learning.
Part of the Early Career Mathematicians Seminar Series.
On 9 October 2025, ECMs were joined by the winner of the 2024 Graham Hoare Prize, Ramón Nartallo-Kaluarachchi (Oxford), for his article on Mathematical Memory Machines.
Abstract:
Biological systems are characterised by their complexity. They are typically composed of heterogenous noisy interactions that violate symmetry and consume energy in order to facilitate a suite of functions. In this talk I will focus on the mathematics of stochastic processes in particular nonequilibrium steady-states and stochastic thermodynamics. I will introduce this framework and illustrate how it can reveal insight into the thermodynamics of biological and neural systems. I will focus on results from my own work analysing neural data and will also present a number of new ideas that bring together statistical physics stochastic dynamics networks discrete topology and machine learning.
