Components and computations for building adaptive maps of space


Lisa Giocomo

(Stanford University, Department of Neurobiology)

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Date: December 5, 2016


Over the last few decades, the tractable response properties of medial entorhinal 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 are proposed to provide the basis for an internal neural map of space, which enables animals to perform path-integration based spatial navigation. My lab focuses on leveraging this system to understand how external sensory inputs meld with internal computations to generate neural codes capable of supporting spatial cognition. In this lecture, I’ll discuss ongoing work aimed at discovering how sensory inputs calibrate self-motion signals, as well as collaborative work with Surya Ganguli’s lab that has recently revealed how behavior adaptively changes the previously proposed static path-integration mode of medial entorhinal cortex.

Created: Friday, December 9th, 2016