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Information Transmission in Neurons and Networks

MathAcrossCampus Lecture: November 9, 2:30-3:30pm
Kane Hall 210
Reception to follow
Title: Information transmission in neurons and networks
Speaker: Adrienne Fairhall, UW
The brain is often thought of as a computer, taking in and
transforming information into new forms that allow it to drive
actions. How does one mathematically quantify how information is
represented in neural systems? We show that in many sensory systems,
information is represented efficiently, even at the level of single
neurons, and that properties of single neurons can dramatically affect
the way in which information at different timescales is propagated
through neural networks.
Speaker Bio:
Adrienne Fairhall is an Associate Professor in the Department of
Physiology and Biophysics, and director of the UW Computational
Neuroscience Program. She is a recipient of the Burroughs Wellcome
Fund Career Award and was a McKnight Scholar in the Neurosciences. She
received her training in Physics from the Australian National
University and the Weizmann Institute of Science, and is currently
unlocking secrets in neuroscience. She works closely with experimental
labs to study everything from single neurons to foraging mosquitoes

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