Identifying the Algorithms for Calculating Spatial Maps


October 3, 2017 - 12:00pm
Northwest Building, Room 243
About the Speaker
Lisa Giocomo
Speaker Title: 
Assistant Professor
Speaker Affiliation: 
Stanford University

Over the last several decades, the tractable response properties of parahippocampal neurons have provided a new access key to understanding the cognitive process of self-localization: the ability to know where you are currently located in space. Defined by functionally discrete response properties, neurons in the medial entorhinal cortex and hippocampus are proposed to provide the basis for an internal neural map of space, which enables animals to perform path-integration based spatial navigation and supports the formation of spatial memories. My lab focuses on understanding the mechanisms that generate this neural map of space and how this map is used to support behavior. In this talk, I’ll discuss new data and computational work that reveals the underlying algorithms for how landmark, self-motion and position codes combine to generate neural maps of space capable of supporting accurate navigation and memory.