{"id":{"repo_id":"wustl","oai_identifier":"oai:openscholarship.wustl.edu:art_sci_etds-1413"},"canonical_url":"https://search.dev.ndltd.org/etd/wustl/oai:openscholarship.wustl.edu:art_sci_etds-1413","repository":{"repo_id":"wustl","name":"Washington University in St. Louis","base_url":"https://openscholarship.wustl.edu/do/oai/"},"display":{"title":"Cortical Pyramidal Neuron Subtype Classification and Visual Response Diversity","abstract":"A detailed inventory of the cortex's constituent pieces is essential to effectively understand the principles underlying cortical signal processing and computation. The classification of pyramidal neurons into functional subtypes remains a crucial part of this survey since the subtype-specific division of labor creates a rich substrate for computation. However, the extreme integration of individual neurons into the collective cortex suggests that cellular individuality may represent a smaller component of computational role in the context of the larger network. This possibility raises an important question: is the computational function of a neuron determined by its individual type or by its circuit connections and network role?Electrophysiological profiles were created from turtle pyramidal neurons in the primary visual cortex by measuring passive neuronal properties and responses to current injection using whole-cell patch-clamp recordings. A blind clustering algorithm exercised on the data revealed the presence of two principle classes of neurons.To address functional profiles, we recorded visual responses of identified neurons to diffuse light flashes. Visual responses consist of a smooth early response and a more dominant and fluctuating late response. These response epochs are hypothesized to correspond to thalamic and intracortical inputs, respectively. Cluster analysis of the dominant late response does not support evidence for subtypes.Our study shows that the answer to the posed question appears to be both yes and no. Visual responses to whole-field flashes show likely cell-type specific inputs from the lateral geniculate nucleus, but late responses mediated by intracortical inputs are similar for both types.","abstract_html":"A detailed inventory of the cortex's constituent pieces is essential to effectively understand the principles underlying cortical signal processing and computation. The classification of pyramidal neurons into functional subtypes remains a crucial part of this survey since the subtype-specific division of labor creates a rich substrate for computation. However, the extreme integration of individual neurons into the collective cortex suggests that cellular individuality may represent a smaller component of computational role in the context of the larger network. This possibility raises an important question: is the computational function of a neuron determined by its individual type or by its circuit connections and network role?Electrophysiological profiles were created from turtle pyramidal neurons in the primary visual cortex by measuring passive neuronal properties and responses to current injection using whole-cell patch-clamp recordings. A blind clustering algorithm exercised on the data revealed the presence of two principle classes of neurons.To address functional profiles, we recorded visual responses of identified neurons to diffuse light flashes. Visual responses consist of a smooth early response and a more dominant and fluctuating late response. These response epochs are hypothesized to correspond to thalamic and intracortical inputs, respectively. Cluster analysis of the dominant late response does not support evidence for subtypes.Our study shows that the answer to the posed question appears to be both yes and no. Visual responses to whole-field flashes show likely cell-type specific inputs from the lateral geniculate nucleus, but late responses mediated by intracortical inputs are similar for both types.","abstract_has_math":false,"creators":["Crockett, Thomas Alan"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Physics","degree_department":null,"school":null,"contributors":["Ralf Wessel","John Clark, Mark Alford, Anders Carlsson, Bruce Carlson, Michael Ariel"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-05-15T07:00:00Z","date_published":"2015-05-15T07:00:00Z","updated_at":"2026-07-24T06:12:08Z","subjects":["Cell Types","Classification","Electrophysiological","Intracellular","Neuron","Pyramidal","Physics"],"languages":["English (en)"],"rights":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://openscholarship.wustl.edu/art_sci_etds/413"],"render_values":[{"text":"https://openscholarship.wustl.edu/art_sci_etds/413","href":"https://openscholarship.wustl.edu/art_sci_etds/413","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.7936/K78S4N3C","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Ralf Wessel","John Clark, Mark Alford, Anders Carlsson, Bruce Carlson, Michael Ariel"]},{"key":"dc:creator","label":"Author","values":["Crockett, Thomas Alan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2115-05-15T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Physics","Graduate School of Arts and Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Cell Types","Classification","Electrophysiological","Intracellular","Neuron","Pyramidal","Physics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English (en)"]},{"key":"dc:rights","label":"Dc Rights","values":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.7936/K78S4N3C","https://openscholarship.wustl.edu/art_sci_etds/413"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Permanent URL: https://doi.org/10.7936/K78S4N3C"]},{"key":"dc:description.abstract","label":"Abstract","values":["A detailed inventory of the cortex's constituent pieces is essential to effectively understand the principles underlying cortical signal processing and computation. The classification of pyramidal neurons into functional subtypes remains a crucial part of this survey since the subtype-specific division of labor creates a rich substrate for computation. However, the extreme integration of individual neurons into the collective cortex suggests that cellular individuality may represent a smaller component of computational role in the context of the larger network. This possibility raises an important question: is the computational function of a neuron determined by its individual type or by its circuit connections and network role?Electrophysiological profiles were created from turtle pyramidal neurons in the primary visual cortex by measuring passive neuronal properties and responses to current injection using whole-cell patch-clamp recordings. A blind clustering algorithm exercised on the data revealed the presence of two principle classes of neurons.To address functional profiles, we recorded visual responses of identified neurons to diffuse light flashes. Visual responses consist of a smooth early response and a more dominant and fluctuating late response. These response epochs are hypothesized to correspond to thalamic and intracortical inputs, respectively. Cluster analysis of the dominant late response does not support evidence for subtypes.Our study shows that the answer to the posed question appears to be both yes and no. Visual responses to whole-field flashes show likely cell-type specific inputs from the lateral geniculate nucleus, but late responses mediated by intracortical inputs are similar for both types."]},{"key":"dc:title","label":"Title","values":["Cortical Pyramidal Neuron Subtype Classification and Visual Response Diversity"]}]}],"canonical_facts":{"dc:contributor":["Ralf Wessel","John Clark, Mark Alford, Anders Carlsson, Bruce Carlson, Michael Ariel"],"dc:creator":["Crockett, Thomas Alan"],"dc:date.available":["2115-05-15T07:00:00Z"],"dc:description":["Permanent URL: https://doi.org/10.7936/K78S4N3C"],"dc:description.abstract":["A detailed inventory of the cortex's constituent pieces is essential to effectively understand the principles underlying cortical signal processing and computation. The classification of pyramidal neurons into functional subtypes remains a crucial part of this survey since the subtype-specific division of labor creates a rich substrate for computation. However, the extreme integration of individual neurons into the collective cortex suggests that cellular individuality may represent a smaller component of computational role in the context of the larger network. This possibility raises an important question: is the computational function of a neuron determined by its individual type or by its circuit connections and network role?Electrophysiological profiles were created from turtle pyramidal neurons in the primary visual cortex by measuring passive neuronal properties and responses to current injection using whole-cell patch-clamp recordings. A blind clustering algorithm exercised on the data revealed the presence of two principle classes of neurons.To address functional profiles, we recorded visual responses of identified neurons to diffuse light flashes. Visual responses consist of a smooth early response and a more dominant and fluctuating late response. These response epochs are hypothesized to correspond to thalamic and intracortical inputs, respectively. Cluster analysis of the dominant late response does not support evidence for subtypes.Our study shows that the answer to the posed question appears to be both yes and no. Visual responses to whole-field flashes show likely cell-type specific inputs from the lateral geniculate nucleus, but late responses mediated by intracortical inputs are similar for both types."],"dc:identifier":["https://doi.org/10.7936/K78S4N3C","https://openscholarship.wustl.edu/art_sci_etds/413"],"dc:language":["English (en)"],"dc:rights":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."],"dc:subject":["Cell Types","Classification","Electrophysiological","Intracellular","Neuron","Pyramidal","Physics"],"dc:title":["Cortical Pyramidal Neuron Subtype Classification and Visual Response Diversity"],"thesis:degree_discipline":["Physics","Graduate School of Arts and Sciences"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T06:12:08Z"}