{"id":"https://openalex.org/W4405756225","doi":"https://doi.org/10.1109/metroxraine62247.2024.10795811","title":"Hippocampal Processing of Levels of Uncertainty and Environmental Volatility. OPM-MEG Correlates of Learning Through Levels of Uncertainty by a Hierarchical Gaussian Filter","display_name":"Hippocampal Processing of Levels of Uncertainty and Environmental Volatility. OPM-MEG Correlates of Learning Through Levels of Uncertainty by a Hierarchical Gaussian Filter","publication_year":2024,"publication_date":"2024-10-21","ids":{"openalex":"https://openalex.org/W4405756225","doi":"https://doi.org/10.1109/metroxraine62247.2024.10795811"},"language":"en","primary_location":{"id":"doi:10.1109/metroxraine62247.2024.10795811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10795811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073030828","display_name":"Marta Su\u00e1rez\u2010Pinilla","orcid":"https://orcid.org/0000-0002-6437-3741"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Marta Su\u00e1rez-Pinilla","raw_affiliation_strings":["Centre for Biomedical Technology, Universidad Politécnica de Madrid,Laboratory for Clinical Neuroscience,Madrid,Spain"],"affiliations":[{"raw_affiliation_string":"Centre for Biomedical Technology, Universidad Politécnica de Madrid,Laboratory for Clinical Neuroscience,Madrid,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019996075","display_name":"Holly Schofield","orcid":"https://orcid.org/0000-0001-8564-7038"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Holly Schofield","raw_affiliation_strings":["Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham,Nottingham,UK"],"affiliations":[{"raw_affiliation_string":"Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham,Nottingham,UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031526488","display_name":"Ryan M. Hill","orcid":"https://orcid.org/0000-0002-1732-2095"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ryan Hill","raw_affiliation_strings":["Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham,Nottingham,UK"],"affiliations":[{"raw_affiliation_string":"Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham,Nottingham,UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106788181","display_name":"Matthew J. Brookes","orcid":"https://orcid.org/0000-0002-8687-8185"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matthew Brookes","raw_affiliation_strings":["Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham,Nottingham,UK"],"affiliations":[{"raw_affiliation_string":"Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham,Nottingham,UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021358582","display_name":"Christoph Mathys","orcid":"https://orcid.org/0000-0003-4079-5453"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Christoph Mathys","raw_affiliation_strings":["Interacting Minds Centre, Aarhus University,Aarhus,Denmark"],"affiliations":[{"raw_affiliation_string":"Interacting Minds Centre, Aarhus University,Aarhus,Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024005442","display_name":"Bryan A. Strange","orcid":"https://orcid.org/0000-0001-6476-4091"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bryan Strange","raw_affiliation_strings":["Centre for Biomedical Technology, Universidad Politécnica de Madrid,Laboratory for Clinical Neuroscience,Madrid,Spain"],"affiliations":[{"raw_affiliation_string":"Centre for Biomedical Technology, Universidad Politécnica de Madrid,Laboratory for Clinical Neuroscience,Madrid,Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073030828"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22129234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6313999891281128,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6313999891281128,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.6094299554824829},{"id":"https://openalex.org/keywords/measurement-uncertainty","display_name":"Measurement uncertainty","score":0.5161508321762085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45547839999198914},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45342564582824707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4232054352760315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.347589910030365},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.29995399713516235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22001513838768005},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20468664169311523},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.14314004778862}],"concepts":[{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.6094299554824829},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.5161508321762085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45547839999198914},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45342564582824707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4232054352760315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.347589910030365},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.29995399713516235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22001513838768005},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20468664169311523},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.14314004778862},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine62247.2024.10795811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10795811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2052398297","https://openalex.org/W2055791093","https://openalex.org/W2116031726","https://openalex.org/W2150489374","https://openalex.org/W2154562678","https://openalex.org/W2166073443","https://openalex.org/W2555795336","https://openalex.org/W2740651538","https://openalex.org/W2915880198","https://openalex.org/W2972539181","https://openalex.org/W3103351842","https://openalex.org/W3166255770","https://openalex.org/W3200044554","https://openalex.org/W4283731272","https://openalex.org/W6855787361"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Successful":[0],"interaction":[1],"with":[2,67,90,101,198,208],"complex,":[3],"changing":[4],"environments":[5],"requires":[6],"discriminating":[7],"between":[8,18],"levels":[9,96,216],"(or":[10],"sources)":[11],"of":[12,30,76,97,110,134,142,185,196,212,217],"uncertainty":[13,60,98,113,153,166],"to":[14,42,45,72,124,145,214],"tune":[15],"the":[16,46,52,74,77,168,178],"balance":[17],"reliance":[19],"on":[20,86],"previous":[21],"beliefs":[22],"and":[23,61,83,112,126,131],"incoming":[24],"sensory":[25,82,194],"information.":[26],"A":[27,182],"critical":[28],"aspect":[29],"cognition":[31],"is":[32],"adaptive":[33],"learning,":[34],"whereby":[35],"learning":[36,147],"rate":[37],"increases":[38],"in":[39,58,122,129,138,148,157,177,191,203],"volatile":[40,91],"scenarios":[41],"promote":[43,146],"adaptation":[44,213],"new":[47],"context.":[48],"Evidence":[49],"indicates":[50],"that":[51],"hippocampus":[53,130],"plays":[54],"a":[55,87,102],"central":[56],"role":[57,184],"processing":[59,144,210],"predictability.":[62],"This":[63],"study":[64],"employs":[65],"recordings":[66],"optically":[68],"pumped":[69],"magnetometer":[70],"magnetoencephalography":[71],"track":[73],"involvement":[75],"hippocampus,":[78],"as":[79,81],"well":[80],"prefrontal":[84],"areas":[85],"probabilistic":[88,170],"task":[89],"contingencies.":[92],"Learning":[93],"through":[94],"different":[95,215],"was":[99,120,189],"modelled":[100],"hierarchical":[103],"Gaussian":[104],"filter,":[105],"from":[106],"which":[107],"trial-by-trial":[108],"estimates":[109],"inference":[111],"could":[114],"be":[115],"obtained.":[116],"Increased":[117],"gamma":[118,155],"activity":[119],"observed":[121],"relation":[123],"phasic":[125],"tonic":[127],"volatility":[128],"other":[132],"regions":[133],"interest":[135],"(with":[136],"differences":[137],"pattern),":[139],"suggesting":[140],"enhancement":[141],"bottom-up":[143,193],"dynamic":[149],"contexts.":[150],"Conversely,":[151],"estimation":[152],"drove":[154],"suppression":[156],"several":[158],"areas,":[159],"whereas":[160],"conditional":[161],"entropy":[162],"(largely":[163],"determining":[164],"expected":[165],"about":[167],"environment's":[169],"structure)":[171],"showed":[172],"no":[173],"modulatory":[174],"effect":[175],"except":[176],"anterior":[179],"cingulate":[180],"cortex.":[181],"possible":[183],"pre-stimulus":[186],"hippocampal":[187],"ripples":[188],"suggested":[190],"increasing":[192],"transmission":[195],"stimuli":[197],"high":[199],"informational":[200],"gain.":[201],"All":[202],"all,":[204],"results":[205],"are":[206],"consistent":[207],"predictive":[209],"accounts":[211],"uncertainty.":[218]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}