{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/121523"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/121523","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Improvements on mice tactile virtual reality system for electrophysiological experiments","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","abstract_has_math":false,"creators":["Hu, Kun"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Bioengineering","degree_department":null,"school":null,"contributors":["Vlasov, Yurii"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-08","date_published":"2023-08","updated_at":"2026-07-22T22:25:00Z","subjects":["Virtual Reality","Cortical Processing"],"languages":["en","eng"],"rights":["Copyright 2023 Kun Hu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/121523","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Vlasov, Yurii"]},{"key":"dc:creator","label":"Author","values":["Hu, Kun"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-08","2023-07-20"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Bioengineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Virtual Reality","Cortical Processing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Kun Hu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/121523"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","The student, Kun Hu, accepted the attached license on 2023-07-13 at 13:59.","The student, Kun Hu, submitted this Thesis for approval on 2023-07-13 at 14:04.","This Thesis was approved for publication on 2023-07-20 at 09:54.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19680 on 2023-12-04 at 17:02:33","Understanding the neural mechanisms underlying animal behavior is a fundamental goal in neuroscience research. Virtual reality systems integrated with in-vivo electrophysiological recording provide a unique opportunity to study behavior and its neural correlates in controlled experimental settings. This thesis presents the design and implementation of a virtual reality system that allows for in-vivo electrophysiological recording in animals with fixed heads. By immobilizing the animals' heads, stable and accurate neural recordings were obtained while preserving their ability to engage in behavior resembling their natural environment. The virtual reality system incorporated various behavioral tasks, including open space running, obstacle avoidance, and forced-turning paradigms, to investigate the neural mechanisms associated with cognition and motor control. Behavioral data obtained from these tasks demonstrated the animals' ability to perform the required behaviors within the virtual environment. The electrophysiological data were processed using a robust pipeline that involved spike sorting algorithms and manual curation to identify neuronal units and extract their spike timings. By correlating the electrophysiological data with the animals' behavior, distinct patterns of neural activity associated with decision-making, spatial navigation, and adaptive motor control were revealed. Customized data analysis tools allowed for visualization and analysis of the correlated data, providing insights into the spatial and temporal dynamics of neuronal activity. The results of this study contribute to our understanding of the neural processes underlying behavior and highlight the potential of virtual reality systems combined with electrophysiological recording for investigating complex cognitive and motor functions. This research opens avenues for further exploration of the neural mechanisms associated with behavior and may have implications for the development of therapeutic interventions targeting neurological disorders."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Improvements on mice tactile virtual reality system for electrophysiological experiments"]}]}],"canonical_facts":{"dc:contributor":["Vlasov, Yurii"],"dc:creator":["Hu, Kun"],"dc:date":["2023-08","2023-07-20"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","The student, Kun Hu, accepted the attached license on 2023-07-13 at 13:59.","The student, Kun Hu, submitted this Thesis for approval on 2023-07-13 at 14:04.","This Thesis was approved for publication on 2023-07-20 at 09:54.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19680 on 2023-12-04 at 17:02:33","Understanding the neural mechanisms underlying animal behavior is a fundamental goal in neuroscience research. Virtual reality systems integrated with in-vivo electrophysiological recording provide a unique opportunity to study behavior and its neural correlates in controlled experimental settings. This thesis presents the design and implementation of a virtual reality system that allows for in-vivo electrophysiological recording in animals with fixed heads. By immobilizing the animals' heads, stable and accurate neural recordings were obtained while preserving their ability to engage in behavior resembling their natural environment. The virtual reality system incorporated various behavioral tasks, including open space running, obstacle avoidance, and forced-turning paradigms, to investigate the neural mechanisms associated with cognition and motor control. Behavioral data obtained from these tasks demonstrated the animals' ability to perform the required behaviors within the virtual environment. The electrophysiological data were processed using a robust pipeline that involved spike sorting algorithms and manual curation to identify neuronal units and extract their spike timings. By correlating the electrophysiological data with the animals' behavior, distinct patterns of neural activity associated with decision-making, spatial navigation, and adaptive motor control were revealed. Customized data analysis tools allowed for visualization and analysis of the correlated data, providing insights into the spatial and temporal dynamics of neuronal activity. The results of this study contribute to our understanding of the neural processes underlying behavior and highlight the potential of virtual reality systems combined with electrophysiological recording for investigating complex cognitive and motor functions. This research opens avenues for further exploration of the neural mechanisms associated with behavior and may have implications for the development of therapeutic interventions targeting neurological disorders."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/121523"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Kun Hu"],"dc:subject":["Virtual Reality","Cortical Processing"],"dc:title":["Improvements on mice tactile virtual reality system for electrophysiological experiments"],"dc:type":["text"],"thesis:degree_discipline":["Bioengineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:00Z"}