{"doi":"10.1162/jocn_a_02056","title":"A Role for Bottom–Up Alpha Oscillations in Temporal Integration","abstract":"<jats:title>Abstract</jats:title>\n               <jats:p>Neural oscillations in the 8–12 Hz alpha band are thought to represent top–down inhibitory control and to influence temporal resolution: Individuals with faster peak frequencies segregate stimuli appearing closer in time. Recently, this theory has been challenged. Here, we investigate a special case in which alpha does not correlate with temporal resolution: when stimuli are presented amidst strong visual drive. Based on findings regarding alpha rhythmogenesis and wave spatial propagation, we suggest that stimulus-induced, bottom–up alpha oscillations play a role in temporal integration. We propose a theoretical model, informed by visual persistence, lateral inhibition, and network refractory periods, and simulate physiologically plausible scenarios of the interaction between bottom–up alpha and the temporal segregation. Our simulations reveal that different features of oscillations, including frequency, phase, and power, can influence temporal perception and provide a theoretically informed starting point for future empirical studies.</jats:p>","journal":"Journal of Cognitive Neuroscience","year":2024,"id":648214,"datarank":0.6982905006017254,"base_score":3.044522437723423,"endowment":3.044522437723423,"self_citation_contribution":0.4566783656585135,"citation_network_contribution":0.24161213494321188,"self_endowment_contribution":0.4566783656585135,"citer_contribution":0.24161213494321188,"corpus_percentile":null,"corpus_rank":null,"citation_count":20,"citer_count":17,"citers_with_citation_signal":11,"citers_with_endowment":11,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1689132,"name":"Ayelet N. Landau","orcid":"0000-0001-7550-7293","position":1,"is_corresponding":false},{"id":1689129,"name":"Golan Karvat","orcid":"0000-0003-4286-9962","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A Role for Bottom–Up Alpha Oscillations in Temporal Integration","abstract":"<jats:title>Abstract</jats:title>\n               <jats:p>Neural oscillations in the 8–12 Hz alpha band are thought to represent top–down inhibitory control and to influence temporal resolution: Individuals with faster peak frequencies segregate stimuli appearing closer in time. Recently, this theory has been challenged. Here, we investigate a special case in which alpha does not correlate with temporal resolution: when stimuli are presented amidst strong visual drive. Based on findings regarding alpha rhythmogenesis and wave spatial propagation, we suggest that stimulus-induced, bottom–up alpha oscillations play a role in temporal integration. We propose a theoretical model, informed by visual persistence, lateral inhibition, and network refractory periods, and simulate physiologically plausible scenarios of the interaction between bottom–up alpha and the temporal segregation. Our simulations reveal that different features of oscillations, including frequency, phase, and power, can influence temporal perception and provide a theoretically informed starting point for future empirical studies.</jats:p>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"37713671","pmcid":null,"openalex_id":null,"authors":[],"funders":[{"funder_name":"James McDonnell Scholar Award in Understanding Human Cognition, ISF","grant_id":"958/16","title":null},{"funder_name":"European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme","grant_id":"852387","title":"How does the brain code time?"}],"total_grants":2,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"hybrid","license":"CC BY","oa_locations":[{"url":"https://direct.mit.edu/jocn/article-pdf/36/4/632/2348309/jocn_a_02056.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1162/jocn_a_02056","host_type":"Unpaywall"},{"url":"https://pubmed.ncbi.nlm.nih.gov/37713671","host_type":""},{"url":"http://dx.doi.org/10.1162/jocn_a_02056","host_type":""}],"fields_of_study":["05 social sciences","0501 psychology and cognitive sciences"],"mesh_terms":["Humans","Alpha Rhythm","Photic Stimulation","Time Perception","Visual Perception","Attention"],"keywords":["Alpha Rhythm","Time Perception","Visual Perception","Humans","Attention","Photic Stimulation"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T02:22:33.861517Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}