From non-Markovian random walks to PDEs: a biological motivation for self-reinforcement

Abstract

The talk will explore how a non-Markovian random walk can be formulated as a partial differential equation. It will highlight how one can introduce self-reinforcement to a random walk with and without fractional derivatives. This work is a stepping stone towards more general understanding of anomalous diffusion.