neural field models and bifurcations

Neural field models are mathematical frameworks used to study the collective behavior of large populations of neurons, such as brain regions. These models describe how the activity of individual neurons interacts with their neighboring neurons to generate neural patterns and dynamics. Bifurcations, on the other hand, refer to abrupt changes or transitions in the behavior of a neural field model caused by variations in its parameters or inputs. In essence, bifurcations help us understand the critical points at which the collective neural activity undergoes significant shifts or transformations.

Explore

Requires login.