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  3. LIDS Seminar: The Maps Inside Your Head by Vijay Balasubramanian (University of Pennsylvania)
Seminar

LIDS Seminar: The Maps Inside Your Head by Vijay Balasubramanian (University of Pennsylvania)

Speaker(s)
Vijay Balasubramanian
Add to CalendarAmerica/New_YorkLIDS Seminar: The Maps Inside Your Head by Vijay Balasubramanian (University of Pennsylvania)10/17/2017 8:00 pm10/17/2017 9:00 pm32-141
October 17, 2017
8:00 pm - 9:00 pm
Location
32-141
Contact
Francisco Jaimes
    Description

    Host: Prof. Caroline Uhler

    Abstract:

    How do our brains make sense of a complex and unpredictable world? In this talk, I will discuss an information theory approach to the neural topography of information processing in the brain. First I will review the brain's architecture, and how neural circuits map out the sensory and cognitive worlds. Then I will describe how highly complex sensory and cognitive tasks are carried out by the cooperative action of many specialized neurons and circuits, each of which has a simple function. I will illustrate my remarks with one sensory example and one cognitive example. For the sensory example, I will consider the sense of smell ("olfaction"), whereby humans and other animals distinguish vast arrays of odor mixtures using very limited neural resources. For the cognitive example, I will consider the "sense of place", that is, how animals mentally represent their physical location. Both examples demonstrate that brains have evolved neural circuits that exploit sophisticated principles of mathematics and information processing - principles that scientists have only recently discovered.

    This talk is part of the LIDS Seminar Series. See the full schedule at: https://lids.mit.edu/news-and-events/lids-seminar-series

     

    Speaker Bio

    Vijay Balasubramanian is the Cathy and Marc Lasry Professor in the Physics Department at the University of Pennsylvania, where he is also Director of the Computational Neuroscience Initiative. He received B.Sc. degrees in Physics and Computer Science, and an M.Sc. in Computer Science, from MIT. He earned a Ph.D. in Theoretical Physics at Princeton University, and was a Junior Fellow of the Harvard Society of Fellows.

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