{"id":{"repo_id":"unr","oai_identifier":"oai:scholarwolf.unr.edu:11714/376"},"canonical_url":"https://search.dev.ndltd.org/etd/unr/oai:scholarwolf.unr.edu:11714/376","repository":{"repo_id":"unr","name":"University of Nevada - Reno","base_url":"https://scholarwolf.unr.edu/server/oai/request"},"display":{"title":"Design and Implementation of a Neocortical Visualization Tool","abstract":"A core goal for neuroscientists is to understand the physiological processes behind memory, learning, and cognition. By developing computational models of the brain, scientists can simulate how neurons interact with each other and study these interactions more closely. However, these simulations often require technical expertise to create and can be difficult to analyze due to a lack of comprehensive visualization tools. Neocortical View, or NCV for short, aims to solve these problems by providing a simple, convenient graphical interface for managing virtual brain models. NCV interacts with the Neurocortical Simulator developed by the Brain Computation Laboratory at UNR, allowing users to build models, distribute simulations across the available hardware, and view the current network state in 3D. It provides an intuitive and extensible simulation platform with a reduced learning curve, abstracting away the complex setup and analysis of neural simulations and allowing neuroscientists to focus on neuroscience.","abstract_html":"A core goal for neuroscientists is to understand the physiological processes behind memory, learning, and cognition. By developing computational models of the brain, scientists can simulate how neurons interact with each other and study these interactions more closely. However, these simulations often require technical expertise to create and can be difficult to analyze due to a lack of comprehensive visualization tools. Neocortical View, or NCV for short, aims to solve these problems by providing a simple, convenient graphical interface for managing virtual brain models. NCV interacts with the Neurocortical Simulator developed by the Brain Computation Laboratory at UNR, allowing users to build models, distribute simulations across the available hardware, and view the current network state in 3D. It provides an intuitive and extensible simulation platform with a reduced learning curve, abstracting away the complex setup and analysis of neural simulations and allowing neuroscientists to focus on neuroscience.","abstract_has_math":false,"creators":["Cardoza, Justin"],"institution":"University of Nevada, Reno","degree_name":"Computer Science","degree_level":"Honors Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Harris, Frederick C."],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013","date_published":"2013","updated_at":"2026-07-27T21:47:47Z","subjects":[],"languages":["en_US"],"rights":["In Copyright(All Rights Reserved)"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11714/376","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Harris, Frederick C."]},{"key":"dc:creator","label":"Author","values":["Cardoza, Justin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-01-24T23:08:51Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-01-24T23:08:51Z"]},{"key":"dc:date.issued","label":"Date","values":["2013"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Honors Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Computer Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Nevada, Reno"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright(All Rights Reserved)"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11714/376"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The University of Nevada, Reno Libraries will promptly respond to removal requests related to content that violates intellectual property laws, data protections, or has been uploaded without creator consent. Takedown notices should be directed to our ScholarWolf team (scholarwolf@library.unr.edu) with information about the object, including its full URL and the nature of your complaint."]},{"key":"dc:description.abstract","label":"Abstract","values":["A core goal for neuroscientists is to understand the physiological processes behind memory, learning, and cognition. By developing computational models of the brain, scientists can simulate how neurons interact with each other and study these interactions more closely. However, these simulations often require technical expertise to create and can be difficult to analyze due to a lack of comprehensive visualization tools. Neocortical View, or NCV for short, aims to solve these problems by providing a simple, convenient graphical interface for managing virtual brain models. NCV interacts with the Neurocortical Simulator developed by the Brain Computation Laboratory at UNR, allowing users to build models, distribute simulations across the available hardware, and view the current network state in 3D. 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Takedown notices should be directed to our ScholarWolf team (scholarwolf@library.unr.edu) with information about the object, including its full URL and the nature of your complaint."],"dc:description.abstract":["A core goal for neuroscientists is to understand the physiological processes behind memory, learning, and cognition. By developing computational models of the brain, scientists can simulate how neurons interact with each other and study these interactions more closely. However, these simulations often require technical expertise to create and can be difficult to analyze due to a lack of comprehensive visualization tools. Neocortical View, or NCV for short, aims to solve these problems by providing a simple, convenient graphical interface for managing virtual brain models. NCV interacts with the Neurocortical Simulator developed by the Brain Computation Laboratory at UNR, allowing users to build models, distribute simulations across the available hardware, and view the current network state in 3D. It provides an intuitive and extensible simulation platform with a reduced learning curve, abstracting away the complex setup and analysis of neural simulations and allowing neuroscientists to focus on neuroscience."],"dc:format":["PDF"],"dc:identifier.uri":["http://hdl.handle.net/11714/376"],"dc:language.iso":["en_US"],"dc:rights":["In Copyright(All Rights Reserved)"],"dc:title":["Design and Implementation of a Neocortical Visualization Tool"],"dc:type":["Thesis"],"thesis:degree_level":["Honors Thesis"],"thesis:degree_name":["Computer Science"],"thesis:institution_name":["University of Nevada, Reno"]},"updated_at":"2026-07-27T21:47:47Z"}