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020 ▼a 9780355480283
035 ▼a (MiAaPQ)AAI10635242
035 ▼a (MiAaPQ)princeton:12342
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 620.5
1001 ▼a Domnisoru, Cristina.
24510 ▼a Electrophysiological and Optical Methods for Measuring Inputs to Individual Neurons.
260 ▼a [S.l.]: ▼b Princeton University., ▼c 2017.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2017.
300 ▼a 191 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
500 ▼a Adviser: David Tank.
5021 ▼a Thesis (Ph.D.)--Princeton University, 2017.
506 ▼a This item is not available from ProQuest Dissertations & Theses.
520 ▼a Understanding neural circuits requires being able to explain the mechanisms that result in the tuning functions of neurons during behavior. Such mechanistic explanations typically involve hypotheses about the tuning of both the postsynaptic neur
520 ▼a Here we first illustrate one strategy for model evaluation that exploits the fact that, in special cases, different circuit architectures proposed by different model families make distinct predictions about the membrane potential of neurons duri
520 ▼a We next develop strategies that build towards a general method for measuring the tuning of neurons and their inputs during behavior by using spine calcium imaging. By combining sparse GCaMP6s labeling, mouse screening for low brain motion, and a
590 ▼a School code: 0181.
650 4 ▼a Nanoscience.
690 ▼a 0565
71020 ▼a Princeton University. ▼b Neuroscience.
7730 ▼t Dissertation Abstracts International ▼g 79-05B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0181
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996668 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033