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PRODID:-//Biomedical Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230906T160000
DTEND;TZID=Asia/Seoul:20230906T170000
DTSTAMP:20260426T062549
CREATED:20230904T132811Z
LAST-MODIFIED:20230904T132811Z
UID:8487-1694016000-1694019600@www.ibs.re.kr
SUMMARY:Jonathan Rubin\, Multiple timescale modeling for neural systems
DESCRIPTION:Abstract \nMathematical models of biological systems\, including neurons\, often feature components that evolve on very different timescales. Mathematical analysis of these multi-timescale systems can be greatly simplified by partitioning them into subsystems that evolve on different time scales. The subsystems are then analyzed semi-independently\, using a technique called fast-slow analysis. I will briefly describe the fast-slow analysis technique and its application to neuronal bursting oscillations and basic coupled neuron modeling. After this\, I will discuss fancier forms of dynamics such as canard oscillations\, mixed-mode oscillations\, and three-timescale dynamics. Although these examples all involve neural systems\, the methods can and have been applied to other biological\, chemical\, and physical systems.
URL:https://www.ibs.re.kr/bimag/event/jonathan-rubin-multiple-timescale-modeling-for-neural-systems/
LOCATION:B378 Seminar room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Biomedical Mathematics Seminar
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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