{"id":{"repo_id":"carleton","oai_identifier":"oai:carleton.scholaris.ca:20.500.14718/43061"},"canonical_url":"https://search.dev.ndltd.org/etd/carleton/oai:carleton.scholaris.ca:20.500.14718/43061","repository":{"repo_id":"carleton","name":"Carleton University","base_url":"https://carleton.scholaris.ca/server/oai/request"},"display":{"title":"Temporal Dynamics at the Neurobehavioral Interface: In Search of a Common Currency","abstract":"The human cortex evokes a vast repertoire of timescales in its neural activity, the Intrinsic Neural Timescales (INT) which are manifest in both time and frequency domain. However, the relationship of the brain’s INT to the varied timescales of behavior remains unclear. I investigate the dynamics of INT by measuring the median frequency (MF) via sliding window analyses in both electroencephalography (EEG) activity and subjects’ continuous behavioral assessment of their perceived engagement in different music pieces. The main findings demonstrate significant differences in dynamic MF of both neural and behavioral activity, significant correlations between them, and a unidirectional relationship of neural to behavioral dynamics as measured through Granger causality. Together, these results demonstrate that neural dynamics relate to behavioral MF dynamics through shared fluctuations in their INT as measured in the frequency domain. This highlights the key role of the brain’s neural dynamics in shaping our behavior and its dynamics.","abstract_html":"The human cortex evokes a vast repertoire of timescales in its neural activity, the Intrinsic Neural Timescales (INT) which are manifest in both time and frequency domain. However, the relationship of the brain’s INT to the varied timescales of behavior remains unclear. I investigate the dynamics of INT by measuring the median frequency (MF) via sliding window analyses in both electroencephalography (EEG) activity and subjects’ continuous behavioral assessment of their perceived engagement in different music pieces. The main findings demonstrate significant differences in dynamic MF of both neural and behavioral activity, significant correlations between them, and a unidirectional relationship of neural to behavioral dynamics as measured through Granger causality. Together, these results demonstrate that neural dynamics relate to behavioral MF dynamics through shared fluctuations in their INT as measured in the frequency domain. This highlights the key role of the brain’s neural dynamics in shaping our behavior and its dynamics.","abstract_has_math":false,"creators":["Chuipka, Noah"],"institution":"Carleton University","degree_name":"Master of Cognitive Science (M.Cog.Sc.)","degree_level":"Master's","degree_discipline":"Cognitive Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024","date_published":"2024","updated_at":"2026-07-24T01:34:25Z","subjects":[],"languages":["en"],"rights":["Copyright © 2024 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, distribution to students, research and scholarship. Theses may only be shared by linking to the Carleton University Institutional Repository and no part may be copied without proper attribution to the author; no part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["10.22215/etd/2024-16206"],"render_values":[{"text":"10.22215/etd/2024-16206","href":"https://doi.org/10.22215/etd/2024-16206","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/20.500.14718/43061","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Chuipka, Noah"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-04-08T20:48:49Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-04-08T20:48:49Z"]},{"key":"dc:date.issued","label":"Date","values":["2024"]},{"key":"dc:publisher","label":"Institution","values":["Carleton University"]},{"key":"dc:type","label":"Dc Type","values":["thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Cognitive Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Cognitive Science (M.Cog.Sc.)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright © 2024 the author(s). 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I investigate the dynamics of INT by measuring the median frequency (MF) via sliding window analyses in both electroencephalography (EEG) activity and subjects’ continuous behavioral assessment of their perceived engagement in different music pieces. The main findings demonstrate significant differences in dynamic MF of both neural and behavioral activity, significant correlations between them, and a unidirectional relationship of neural to behavioral dynamics as measured through Granger causality. Together, these results demonstrate that neural dynamics relate to behavioral MF dynamics through shared fluctuations in their INT as measured in the frequency domain. 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