MathCS Seminar

Title: Understanding Information: From Bits to Brains
Colloquium: N/A
Speaker: Avani P. Wildani nee Gadani of The Salk Institute
Contact: Vaidy Sunderam,
Date: 2015-03-02 at 4:00PM
Venue: W303
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Information is the currency of the modern era, and there are surprising similarities in data processing and representation between computer systems and neuroscience. In the first half of this talk, I will discuss how to dynamically identify related blocks or files in trace data and use the resulting data groups to make information storage more efficient and robust. From there, I will discuss how the classical systems metrics of reliability, performance, and availability apply to biologically plausible neural networks, including recent work exploring the balance between classification accuracy and robustness. Finally, I will show how computational models from vision can be applied to understand information flow in the visual cortex, and how algebraic topology is a promising method to classify neurons by network function and categorize visual stimuli.

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