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TZID:America/Chicago
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DTSTART:20201101T020000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RDATE:20211107T020000
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DTSTART:20210314T020000
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BEGIN:VEVENT
UID:calendar.24694.field_event_date_2.0@math.wustl.edu
CREATED:20210315T140047Z
DESCRIPTION:Abstract: Mathematics and physics provide powerful tools for ad
dressing central questions in neuroscience. I will illustrate this through
some examples taken from my past and present research. I will show how st
atistical mechanics methods based on the inference and simulation of graph
ical models allow reconstruction of the functional connectivity of neural
circuits and extraction of informative patterns from high dimensional data
. I will present several applications of these techniques: the identificat
ion of signs of learning and memory in neuronal recordings, the study of
memory consolidation in the brain, and the study of the neurobiological m
echanisms of economic choice (neuroeconomics). In the final part of the ta
lk, I will introduce some new ideas to investigate, through the lens of
information theory, the role of different forms of plasticity in the olfa
ctory neural code.\n\nHost: Nan Lin
DTSTART;TZID=America/Chicago:20210422T150000
DTEND;TZID=America/Chicago:20210422T160000
LAST-MODIFIED:20210421T141408Z
SUMMARY:Statistics and Data Science Seminar: 'Mathematical approaches to th
e study of the brain'
URL;TYPE=URI:https://math.wustl.edu/events/statistics-and-data-science-semi
nar-mathematical-approaches-study-brain
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