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        Date:

    Download-files:

      Time:

Thursday,  20 March 2025

    Video-Recording for any system with MP4-support

   - Video.mp4  (ca. 444 Mb)

 15:15 – 16:40

 

                                          "How the brain maps space"

 

                                  Speaker: Prof. Vijay Balasubramanian

                                                                     (Upenn & Oxford)

 

Abstract:

 

Space is a concept that is fundamental to all branches of physics; it is also

central to neuroscience. Indeed, animal life is defined by the ability to navigate

in space. Humans think not only about physical space but also about abstract

spaces that allow us to geometrize complex problems. Inside our heads,

the brain represents space as a pattern of neural firing, produced and

maintained by circuits in a group of brain regions called the

"hippocampal formation."

In this talk, I will describe progress towards a theory of organization of the

circuits and systems that build the brain's internal description of space.

I will compare the predictions of theory to experimental data, and discuss

how the brain self-organizes to produce a cognitive map: a way of imagining

location in physical and abstract spaces.

 

About the Speaker:

 

Vijay Balasubramanian received undergraduate degrees in Physics and

Computer Science from MIT, a master's degree in Computer Science from

MIT, and a PhD in Physics from Princeton University. He was a Junior Fellow

of the Harvard Society of Fellows, and then joined the Physics faculty at the

University of Pennsylvania where he is now the Cathy and Marc Lasry Professor.

He has held visiting positions at the Ecole Normale Superieure, Paris;

Vrije Universiteit Brussels; and is an External Professor of the Santa Fe Institute.

In the 2024-2025 academic year he is the George Eastman Professor at the

University of Oxford.  He has worked on problems across the full range of

inquiry in theoretical physics, from the black hole information paradox to the biophysics of neural circuits.  He is broadly interested in how physical systems

create, transform, and process information.

 

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