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DTSTAMP:20250904T024123Z
DESCRIPTION:Measuring behavior across scales\n\nGordon Berman\, Emory Unive
 rsity\n	Tuesday February 16\, 12-1pm\n	Zoom Link: https:/mcgill.zoom.us/j/91
 589192037\n\nAbstract: When we think of animal behavior\, what typically c
 omes to mind are actions – running\, eating\, swimming\, grooming\, flying
 \, singing\, resting. Behavior\, however\, is more than the catalogue of m
 otions that an organism can perform. Animals organize their repertoire of 
 actions into sequences and patterns whose underlying dynamics last much lo
 nger than any particular behavior. How an organism modulates these dynamic
 s affects its success at accessing food\, reproducing\, and myriad other t
 asks essential for survival. Animals regulate these patterns of behavior v
 ia many interacting internal states (hunger\, reproductive cycle\, age\, e
 tc.) that we cannot directly measure. Studying these hidden states’ dynami
 cs\, accordingly\, has proven challenging due to a lack of measurement tec
 hniques and theoretical understanding. In this talk\, I will outline our e
 fforts to uncover the latent dynamics that underlie long timescale structu
 re in animal behavior. Looking across a variety of organisms\, we use a no
 vel methodology to measure animals’ full behavioral repertoires to find th
 e existence of a non-trivial form of long timescale dynamics that cannot b
 e explained using standard mathematical frameworks. I will present how tem
 poral coarse-graining can be used to understand how these dynamics are gen
 erated and how the found course-grained states can be related to the inter
 nal states governing behavior through a combination of machine learning te
 chniques and dynamical systems modeling. Inferring these hidden dynamics p
 resents a new opportunity to generate insights into the neural and physiol
 ogical mechanisms that animals use to select actions.\n
DTSTART:20210216T170000Z
DTEND:20210216T180000Z
LOCATION:CA\, QC
SUMMARY:QLS Seminar Series - Gordon Berman
URL:/qls/channels/event/qls-seminar-series-gordon-berm
 an-328105
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