Modeling the role of hippocampus in spatial navigation

This lecture explores the role of the hippocampus in spatial navigation, discussing the discovery of place cells and other space-related representations. It delves into how the population of place cells collectively represents locations in the environment, using feedforward and feedback models. The recurrent network model of place cells, proposed by Káli and Dayan in 2000, is examined in detail, focusing on its ability to learn and represent locations based on continuous attractors. The model also addresses the representation of multiple environments and the effects of environmental manipulations.