Noise-Driven Bifurcations in Neural Field Systems Modeling Grid Cell Networks

Explore a 42-minute lecture by José A. Carillo from Oxford University on noise-driven bifurcations in neural field systems modeling grid cell networks. Delve into the complex interactions between noise and neural dynamics, examining how stochastic perturbations can lead to significant changes in the behavior of grid cell networks. Gain insights into the mathematical frameworks used to analyze these systems and understand the implications for our understanding of spatial navigation in the brain. This talk, presented at the Institut Henri Poincaré in Paris, offers a deep dive into the intersection of neuroscience, mathematics, and computational modeling.

Noise-driven bifurcations in a neural field system modelling networks of grid cells