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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:adamgibbons/ics
METHOD:PUBLISH
X-PUBLISHED-TTL:PT1H
BEGIN:VEVENT
UID:aO9JxDb8FqqswAR3U3C9W
SUMMARY:ICERM Workshop: Mathematical Challenges in Neuronal Network Dynamic
	s
DTSTAMP:20260401T014400Z
DTSTART;VALUE=DATE:20230918
DTEND;VALUE=DATE:20230922
DESCRIPTION:One of the fundamental questions in neuroscience is to understa
	nd how network connectivity shapes neural activity. Over the last 10 years
	\, tremendous progress has been made in collecting neural activity and con
	nectivity data\, but theoretical advances have lagged behind. This worksho
	p will focus on identifying mathematical challenges that arise in studying
	 the dynamics of learning\, memory\, plasticity\, decision-making\, sequen
	ce generation\, and central pattern generator circuits. Mathematical ideas
	 and approaches from dynamical systems\, statistical mechanics\, linear al
	gebra\, graph theory\, topology\, and traditional areas of applied mathema
	tics are all expected to play an important role.
URL:https://icerm.brown.edu/programs/sp-f23/w1/
LOCATION:Providence\, RI\, USA
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