{"doi":"10.1007/s11517-009-0477-5","title":"A mechanism for sensory re-weighting in postural control","abstract":null,"journal":"Medical &amp; Biological Engineering &amp; Computing","year":2009,"id":656044,"datarank":0.6394019815561974,"base_score":4.2626798770413155,"endowment":4.2626798770413155,"self_citation_contribution":0.6394019815561974,"citation_network_contribution":0.0,"self_endowment_contribution":0.6394019815561974,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":70,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"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":1712515,"name":"Patrick Loughlin","orcid":null,"position":1,"is_corresponding":false},{"id":1712516,"name":"Chris Atkeson","orcid":null,"position":2,"is_corresponding":false},{"id":1712517,"name":"Mark Redfern","orcid":null,"position":3,"is_corresponding":false},{"id":1155837,"name":"Arash Mahboobin","orcid":"0000-0003-2056-6717","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A mechanism for sensory re-weighting in postural control","abstract":"A key finding of human balance experiments has been that the integration of sensory information utilized for postural control appears to be dynamically regulated to adapt to changing environmental conditions and the available sensory information, a process referred to as \"sensory re-weighting.\" We propose a postural control model that includes automatic sensory re-weighting. This model is an adaptation of a previously reported model of sensory feedback that included manual sensory re-weighting. The new model achieves sensory re-weighting that is physiologically plausible and readily implemented. Model simulations are compared to previously reported experimental results to demonstrate the automated sensory re-weighting strategy of the modified model. On the whole, the postural sway time series generated by the model with automatic sensory re-weighting show good agreement with experimental data, and are capable of producing patterns similar to those observed experimentally.","is_dataset_classified":null,"base_score":4.2626798770413155,"endowment":4.2626798770413155,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19326162","pmcid":"PMC4899834","openalex_id":"https://openalex.org/W2075089431","authors":[],"funders":[{"funder_name":"NIA NIH HHS","grant_id":"P30 AG024827","title":null},{"funder_name":"NIA NIH HHS","grant_id":"R01 AG029546","title":null},{"funder_name":"National Science Foundation","grant_id":"0325383","title":"ITR: Collaborative Research: Using Humanoids to Understand Humans"},{"funder_name":"National Institutes of Health","grant_id":"3P30AG024827-06S2","title":"Pittsburgh Older Americans Independence Center"},{"funder_name":"National Institutes of Health","grant_id":"1R01AG029546-01A1","title":"Modeling Sensory Integration and Attention in Postural Control of Older Adults"},{"funder_name":"National Science Foundation","grant_id":"0540865","title":"Quality of Life Technology Engineering Research Center"}],"total_grants":6,"fwci":5.4347,"citation_percentile":0.94276983,"influential_citations":0,"citation_trend":[{"year":2012,"count":3},{"year":2013,"count":4},{"year":2014,"count":7},{"year":2015,"count":7},{"year":2016,"count":3},{"year":2017,"count":1},{"year":2018,"count":4},{"year":2020,"count":6},{"year":2021,"count":4},{"year":2022,"count":7},{"year":2023,"count":5},{"year":2024,"count":5},{"year":2025,"count":4},{"year":2026,"count":1}],"oa_status":"green","license":"Springer TDM","oa_locations":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4899834","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4899834","host_type":"repository"},{"url":"http://link.springer.com/content/pdf/10.1007/s11517-009-0477-5.pdf","host_type":"publisher"},{"url":"http://link.springer.com/article/10.1007/s11517-009-0477-5/fulltext.html","host_type":"publisher"},{"url":"http://link.springer.com/content/pdf/10.1007/s11517-009-0477-5","host_type":"publisher"},{"url":"https://doi.org/10.1007/s11517-009-0477-5","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/19326162","host_type":"repository"},{"url":"https://europepmc.org/articles/pmc4899834?pdf=render","host_type":""},{"url":"https://dx.doi.org/10.1007/s11517-009-0477-5","host_type":""}],"fields_of_study":["Balance, Gait, and Falls Prevention","Motor Control and Adaptation","Effects of Vibration on Health","0301 basic medicine","03 medical and health sciences","0302 clinical medicine"],"mesh_terms":["Adaptation, Physiological","Algorithms","Postural Balance","Humans","Models, Biological","Posture","Feedback, Sensory"],"keywords":["Weighting","Sensory system","Computer science","A-weighting","Process (computing)","Control (management)","Mechanism (biology)","Adaptation (eye)","Artificial intelligence","Neuroscience","Psychology","Medicine","Feedback, Sensory","Posture","Humans","Adaptation, Physiological","Models, Biological","Postural Balance","Algorithms"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Life in Land"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-11T19:42:14.802907Z","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":[]}