<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T20:54:29Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/73772" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/73772</identifier><datestamp>2022-01-13T07:54:17Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Mriganka Sur.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Runyan, Caroline A. (Caroline Anne)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2012-10-10T15:43:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2012-10-10T15:43:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/73772</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">810136551</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2012.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">"June 2012." Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Parvalbumin-containing (PV+) neurons and somatostatin-containing (SOM+) neurons are two key cortical inhibitory cell classes that are poised to play distinct computational roles in cortical circuits: PV+ neurons form synapses on the perisomatic region near the spike initiation zone of target cells, while SOM+ neurons form synapses on distal dendrites. The goals of this thesis are to better understand the functional roles of these two cell types with four major lines of questioning. 1) When and how do PV+ and SOM+ neurons respond to visual stimuli? 2) How do inhibitory neurons obtain their response selectivity? 3) How do PV+ and SOM+ neurons affect the responses of their targets? and 4) What are the targets of PV+ and SOM+ neurons? We used Cre-lox recombination to introduce either fluorescent protein or channelrhodopsin to PV+ or SOM+ neurons, targeting these cells for two-photon targeted physiological recording and morphological reconstruction, or selectively stimulating the population of PV+ or SOM+ neurons or stimulating single PV+ or SOM+ neurons. We find diverse response properties within both groups, suggesting that further functional subclasses of PV+ and SOM+ neurons may exist. Furthermore, orientation selectivity was strongly correlated to dendritic length in PV+ neurons, whose orientation preferences matched the preferences of neighboring cells, implying that inhibitory neurons may obtain selectivity by spatially limiting their sampling of the local network. When we stimulated PV+ and SOM+ neurons, we found that they perform distinct inhibitory operations on their targets: PV+ neurons divide responses while SOM+ neurons subtract. Even single PV+ and SOM+ neurons were capable of suppressing responses of other cells in the local network, but their functional targeting was sparse and followed different rules of wiring: PV+ neurons functionally suppressed a higher percentage of cells that shared their own tuning, while SOM+ neurons seemed to target other neurons independently of their preferred orientations. By studying the response properties and functional impacts of PV+ and SOM+ neurons in the intact primary visual cortex, we have gained insight into what information these cells are carrying and how they contribute to the response properties of other cells, which apply to cortical circuits in general.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Caroline A. Runyan.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">159 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Brain and Cognitive Sciences.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Distinct roles for inhibitory neuron subtypes in cortical circuits : an examination of their structure, function, and connectivity</dim:field>
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   	&lt;Title>Distinct roles for inhibitory neuron subtypes in cortical circuits : an examination of their structure, function, and connectivity&lt;/Title>
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   	&lt;PublicationDate&gt;2012&lt;/PublicationDate>
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        	&lt;DisplayName>Runyan, Caroline A. (Caroline Anne)&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Brain and Cognitive Sciences.&lt;/Keyword>
   	&lt;Abstract>Parvalbumin-containing (PV+) neurons and somatostatin-containing (SOM+) neurons are two key cortical inhibitory cell classes that are poised to play distinct computational roles in cortical circuits: PV+ neurons form synapses on the perisomatic region near the spike initiation zone of target cells, while SOM+ neurons form synapses on distal dendrites. The goals of this thesis are to better understand the functional roles of these two cell types with four major lines of questioning. 1) When and how do PV+ and SOM+ neurons respond to visual stimuli? 2) How do inhibitory neurons obtain their response selectivity? 3) How do PV+ and SOM+ neurons affect the responses of their targets? and 4) What are the targets of PV+ and SOM+ neurons? We used Cre-lox recombination to introduce either fluorescent protein or channelrhodopsin to PV+ or SOM+ neurons, targeting these cells for two-photon targeted physiological recording and morphological reconstruction, or selectively stimulating the population of PV+ or SOM+ neurons or stimulating single PV+ or SOM+ neurons. We find diverse response properties within both groups, suggesting that further functional subclasses of PV+ and SOM+ neurons may exist. Furthermore, orientation selectivity was strongly correlated to dendritic length in PV+ neurons, whose orientation preferences matched the preferences of neighboring cells, implying that inhibitory neurons may obtain selectivity by spatially limiting their sampling of the local network. When we stimulated PV+ and SOM+ neurons, we found that they perform distinct inhibitory operations on their targets: PV+ neurons divide responses while SOM+ neurons subtract. Even single PV+ and SOM+ neurons were capable of suppressing responses of other cells in the local network, but their functional targeting was sparse and followed different rules of wiring: PV+ neurons functionally suppressed a higher percentage of cells that shared their own tuning, while SOM+ neurons seemed to target other neurons independently of their preferred orientations. By studying the response properties and functional impacts of PV+ and SOM+ neurons in the intact primary visual cortex, we have gained insight into what information these cells are carrying and how they contribute to the response properties of other cells, which apply to cortical circuits in general.&lt;/Abstract>
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