{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/99396"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/99396","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Precursors and downstream consequences of prediction in language comprehension","abstract":"During language comprehension, the brain rapidly integrates incoming linguistic stimuli to not only incrementally build a contextual representation, but also predict upcoming information. This predictive mechanism leads to behavioral facilitation of processing of expected words, as well as a reduction in amplitude of the N400, a neural response reflecting access of semantic memory. However, little research has identified a behavioral or neurophysiological cost of errors in prediction. Additionally, only recent work has begun to investigate neural activity related to prediction prior to encountering a predicted stimulus. Most work has focused on what happens immediately after a predicted or unpredicted stimulus is encountered. Here, I explore new avenues of research by examining downstream consequences of prediction during language comprehension on future recognition memory. Additionally, I test whether these consequences occur following any violation of predictions, or whether the semantic fit of the violation to the established context plays a role. Finally, I adapt a classic paradigm, word stem completion, to investigate electrophysiological activity following a cue that is modulated by how predictive the outcome is. With this work, I not only have discovered costs of failed and successful predictions and identified neural signals potentially related to generation of predictions, but also have researched prediction in novel ways that can continue to expand and further elucidate how this mechanism affects cognition and changes across populations.","abstract_html":"During language comprehension, the brain rapidly integrates incoming linguistic stimuli to not only incrementally build a contextual representation, but also predict upcoming information. This predictive mechanism leads to behavioral facilitation of processing of expected words, as well as a reduction in amplitude of the N400, a neural response reflecting access of semantic memory. However, little research has identified a behavioral or neurophysiological cost of errors in prediction. Additionally, only recent work has begun to investigate neural activity related to prediction prior to encountering a predicted stimulus. Most work has focused on what happens immediately after a predicted or unpredicted stimulus is encountered. Here, I explore new avenues of research by examining downstream consequences of prediction during language comprehension on future recognition memory. Additionally, I test whether these consequences occur following any violation of predictions, or whether the semantic fit of the violation to the established context plays a role. Finally, I adapt a classic paradigm, word stem completion, to investigate electrophysiological activity following a cue that is modulated by how predictive the outcome is. With this work, I not only have discovered costs of failed and successful predictions and identified neural signals potentially related to generation of predictions, but also have researched prediction in novel ways that can continue to expand and further elucidate how this mechanism affects cognition and changes across populations.","abstract_has_math":false,"creators":["Hubbard, Ryan James"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Federmeier, Kara D.","Cohen, Neal J.","Dell, Gary S.","Sahakyan, Lili","Tanner, Darren"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-03-13T15:49:06Z","date_published":"2018-03-13T15:49:06Z","updated_at":"2026-07-22T22:24:37Z","subjects":["Language","memory","prediction","ERP"],"languages":["en"],"rights":["Copyright 2017 Ryan Hubbard"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/99396","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Federmeier, Kara D.","Cohen, Neal J.","Dell, Gary S.","Sahakyan, Lili","Tanner, Darren"]},{"key":"dc:creator","label":"Author","values":["Hubbard, Ryan James"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-03-13T15:49:06Z","2017-12-08","2017-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Language","memory","prediction","ERP"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Ryan Hubbard"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/99396"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["During language comprehension, the brain rapidly integrates incoming linguistic stimuli to not only incrementally build a contextual representation, but also predict upcoming information. This predictive mechanism leads to behavioral facilitation of processing of expected words, as well as a reduction in amplitude of the N400, a neural response reflecting access of semantic memory. However, little research has identified a behavioral or neurophysiological cost of errors in prediction. Additionally, only recent work has begun to investigate neural activity related to prediction prior to encountering a predicted stimulus. Most work has focused on what happens immediately after a predicted or unpredicted stimulus is encountered. Here, I explore new avenues of research by examining downstream consequences of prediction during language comprehension on future recognition memory. Additionally, I test whether these consequences occur following any violation of predictions, or whether the semantic fit of the violation to the established context plays a role. Finally, I adapt a classic paradigm, word stem completion, to investigate electrophysiological activity following a cue that is modulated by how predictive the outcome is. With this work, I not only have discovered costs of failed and successful predictions and identified neural signals potentially related to generation of predictions, but also have researched prediction in novel ways that can continue to expand and further elucidate how this mechanism affects cognition and changes across populations.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2018-03-13 without embargo terms","The student, Ryan Hubbard, accepted the attached license on 2017-12-07 at 20:18.","The student, Ryan Hubbard, submitted this Dissertation for approval on 2017-12-07 at 20:24.","This Dissertation was approved for publication on 2017-12-08 at 13:50.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11912 on 2018-03-13 at 10:11:33","Made available in DSpace on 2018-03-13T15:49:06Z (GMT). No. of bitstreams: 3 HUBBARD-DISSERTATION-2017.pdf: 3139679 bytes, checksum: f6d97cdb4e6ca56f1945e96512380b72 (MD5) RJH Dissertation_final.docx: 7984624 bytes, checksum: 3c399b76a50b287078e6009f6406ebb3 (MD5) LICENSE.txt: 4209 bytes, checksum: 42bcaaeb562f8db9aa8d64f6e5401b1a (MD5) Previous issue date: 2017-12-08"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Precursors and downstream consequences of prediction in language comprehension"]}]}],"canonical_facts":{"dc:contributor":["Federmeier, Kara D.","Cohen, Neal J.","Dell, Gary S.","Sahakyan, Lili","Tanner, Darren"],"dc:creator":["Hubbard, Ryan James"],"dc:date":["2018-03-13T15:49:06Z","2017-12-08","2017-12"],"dc:description":["During language comprehension, the brain rapidly integrates incoming linguistic stimuli to not only incrementally build a contextual representation, but also predict upcoming information. This predictive mechanism leads to behavioral facilitation of processing of expected words, as well as a reduction in amplitude of the N400, a neural response reflecting access of semantic memory. However, little research has identified a behavioral or neurophysiological cost of errors in prediction. Additionally, only recent work has begun to investigate neural activity related to prediction prior to encountering a predicted stimulus. Most work has focused on what happens immediately after a predicted or unpredicted stimulus is encountered. Here, I explore new avenues of research by examining downstream consequences of prediction during language comprehension on future recognition memory. Additionally, I test whether these consequences occur following any violation of predictions, or whether the semantic fit of the violation to the established context plays a role. Finally, I adapt a classic paradigm, word stem completion, to investigate electrophysiological activity following a cue that is modulated by how predictive the outcome is. With this work, I not only have discovered costs of failed and successful predictions and identified neural signals potentially related to generation of predictions, but also have researched prediction in novel ways that can continue to expand and further elucidate how this mechanism affects cognition and changes across populations.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2018-03-13 without embargo terms","The student, Ryan Hubbard, accepted the attached license on 2017-12-07 at 20:18.","The student, Ryan Hubbard, submitted this Dissertation for approval on 2017-12-07 at 20:24.","This Dissertation was approved for publication on 2017-12-08 at 13:50.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11912 on 2018-03-13 at 10:11:33","Made available in DSpace on 2018-03-13T15:49:06Z (GMT). No. of bitstreams: 3 HUBBARD-DISSERTATION-2017.pdf: 3139679 bytes, checksum: f6d97cdb4e6ca56f1945e96512380b72 (MD5) RJH Dissertation_final.docx: 7984624 bytes, checksum: 3c399b76a50b287078e6009f6406ebb3 (MD5) LICENSE.txt: 4209 bytes, checksum: 42bcaaeb562f8db9aa8d64f6e5401b1a (MD5) Previous issue date: 2017-12-08"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/99396"],"dc:language":["en"],"dc:rights":["Copyright 2017 Ryan Hubbard"],"dc:subject":["Language","memory","prediction","ERP"],"dc:title":["Precursors and downstream consequences of prediction in language comprehension"],"dc:type":["text"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:37Z"}