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Neural Computation in the Context of...

Mardoum, Philip R.

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Neural Computation in the Context of Upstream Dynamics in the Retina.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neural Computation in the Context of Upstream Dynamics in the Retina./
Author:	Mardoum, Philip R.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	91 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
Contained By:	Dissertations Abstracts International82-11B.
Subject:	Cellular biology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28413270
ISBN:	9798728233855

Neural Computation in the Context of Upstream Dynamics in the Retina.
Mardoum, Philip R.

Neural Computation in the Context of Upstream Dynamics in the Retina. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 91 p.

Source: Dissertations Abstracts International, Volume: 82-11, Section: B.

Thesis (Ph.D.)--University of Washington, 2021.

This item must not be sold to any third party vendors.

To understand neural circuit function, one would like to understand individual neurons' computation in the context of their physiological inputs. But these inputs are themselves subject to complex dynamics, and we rarely have tools to experimentally control synaptic inputs under physiological conditions that preserve their temporal features. Primary sensory structures present an exception because primary receptor neurons can be controlled experimentally under physiological conditions. Here, I present work carried out in the retina, where signaling by photoreceptors (the primary receptor neurons in vision) has been characterized in detail and can be controlled with light, and computation in downstream circuitry can therefore be investigated in the context of physiological input from photoreceptors. I first present a hybrid biophysical-statistical model of retinal output that disentangles the computational contributions of photoreceptors from those of other circuit elements and successfully predicts retinal ganglion cell responses to stimuli with dynamically changing statistics. Second, I present an investigation of synaptic specializations that could mediate parallel processing of input from different photoreceptor types within individual post-synaptic neurons.

ISBN: 9798728233855Subjects--Topical Terms:

3172791
Cellular biology.
Subjects--Index Terms:

Computational neuroscience

Neural Computation in the Context of Upstream Dynamics in the Retina.
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245 1 0 $a Neural Computation in the Context of Upstream Dynamics in the Retina.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 91 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
500 $a Advisor: Rieke, Fred;Wong, Rachel.
502 $a Thesis (Ph.D.)--University of Washington, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a To understand neural circuit function, one would like to understand individual neurons' computation in the context of their physiological inputs. But these inputs are themselves subject to complex dynamics, and we rarely have tools to experimentally control synaptic inputs under physiological conditions that preserve their temporal features. Primary sensory structures present an exception because primary receptor neurons can be controlled experimentally under physiological conditions. Here, I present work carried out in the retina, where signaling by photoreceptors (the primary receptor neurons in vision) has been characterized in detail and can be controlled with light, and computation in downstream circuitry can therefore be investigated in the context of physiological input from photoreceptors. I first present a hybrid biophysical-statistical model of retinal output that disentangles the computational contributions of photoreceptors from those of other circuit elements and successfully predicts retinal ganglion cell responses to stimuli with dynamically changing statistics. Second, I present an investigation of synaptic specializations that could mediate parallel processing of input from different photoreceptor types within individual post-synaptic neurons.
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650 4 $a Cellular biology. $3 3172791
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650 4 $a Molecular biology. $3 517296
650 4 $a Biochemistry. $3 518028
653 $a Computational neuroscience
653 $a Retina
653 $a Vision
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856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28413270