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SUMMARY:Chad Giusti (University of Delaware - USA)
DTSTART:20221021T150000Z
DTEND:20221021T160000Z
DTSTAMP:20260423T041510Z
UID:GEOTOP-A/26
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/GEOTOP-A/26/
 ">Tracking cycles in neural codes</a>\nby Chad Giusti (University of Delaw
 are - USA) as part of GEOTOP-A seminar\n\n\nAbstract\nCircular coordinate 
 systems -- here\, cycles -- are ubiquitous in data encoded by the brain. C
 lassical ideas from topology tell us that the structure of the encoded dat
 a must be reflected in the activity of the encoding neural populations\, a
 nd methods from topological data analysis have been highly successful at d
 etecting signatures of such encodings. The next natural question we might 
 ask is how we assign meaning or semantics to observed cycles Here\, we des
 cribe a new method for using a measure of cross-similarity to register\, o
 r falsify the registration of\, cycles across populations. We demonstrate 
 its use in simulated and experimental data\, and discuss ongoing work usin
 g these tools to investigate how feed-forward networks propagate cycles. T
 his is joint work with Iris Yoon\, Niko Schonsheck\, and several others.\n
LOCATION:https://researchseminars.org/talk/GEOTOP-A/26/
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