How does the brain detect visual motion?

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Abstract/Contents

Abstract: The ability to detect visual motion is critical to the survival of many organisms. Motion detecting circuits must tightly regulate and correlate signals across space and time, a general feature of many neural computations. Thus, this experimentally tractable and relatively simple visual computation is a powerful context in which to dissect how brains compute. What are the circuit algorithms that allow the brain to extract such behaviorally vital motion cues? How are these algorithms actually implemented within biological hardware? The work presented within this dissertation tackles these questions focusing on the visual system of the fruit fly, Drosophila melanogaster. Using a combination of 2-photon calcium imaging, pharmacology, behavioral analysis and genetic manipulations, my work has contributed to the dissection of elementary motion detection at the molecular, cellular and algorithmic level.

Type of resource	text
Form	electronic; electronic resource; remote
Extent	1 online resource.
Publication date	2016
Issuance	monographic
Language	English

Associated with	Fisher, Yvette Erica
Associated with	Stanford University, Neurosciences Program.
Primary advisor	Clandinin, Thomas R. (Thomas Robert), 1970-
Thesis advisor	Clandinin, Thomas R. (Thomas Robert), 1970-
Thesis advisor	Baccus, Stephen A
Thesis advisor	Hestrin, Shaul
Thesis advisor	Luo, Liqun, 1966-
Advisor	Baccus, Stephen A
Advisor	Hestrin, Shaul
Advisor	Luo, Liqun, 1966-

Genre	Theses

Statement of responsibility	Yvette Erica Fisher.
Note	Submitted to the Program in Neurosciences.
Thesis	Thesis (Ph.D.)--Stanford University, 2016.
Location	electronic resource

License: This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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