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Interacting Mechanisms Driving Synchrony in Neural Networks with Inhibitory Interneurons

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개인저자Rich, Scott.
단체저자명University of Michigan. Applied and Interdisciplinary Mathematics.
서명/저자사항Interacting Mechanisms Driving Synchrony in Neural Networks with Inhibitory Interneurons.
발행사항[S.l.] : University of Michigan., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항179 p.
소장본 주기School code: 0127.
ISBN9780438125223
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Victoria Booth
요약Computational neuroscience contributes to our understanding of the brain by applying techniques from fields including mathematics, physics, and computer science to neuroscientific problems that are not amenable to purely biologic study. One area
요약Inhibitory interneurons are thought to drive synchrony in ways described by two computational mechanisms: Interneuron Network Gamma (ING), which describes how an inhibitory network synchronizes itself
요약My research reveals a variety of ways in which interneuronal diversity alters synchronous oscillations in networks containing inhibitory interneurons and the mechanisms likely driving these dynamics. For example, oscillations in networks of Type
요약Taken together, this research reveals that network-driven and cellularly-driven mechanisms promoting oscillatory activity in networks containing inhibitory interneurons interact, and oftentimes compete, in order to dictate the overall network dy
일반주제명Applied mathematics.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T15000428

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