{"id":"https://openalex.org/W2733481861","doi":"https://doi.org/10.1109/ijcnn.2017.7966306","title":"A biologically inspired neuronal model of reward prediction error computation","display_name":"A biologically inspired neuronal model of reward prediction error computation","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2733481861","doi":"https://doi.org/10.1109/ijcnn.2017.7966306","mag":"2733481861"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01528658","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035229102","display_name":"Pramod Kaushik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131512","display_name":"Centre de Recherche Inria Bordeaux - Sud-Ouest","ror":"https://ror.org/03tjcj052","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210131512"]},{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["FR","IN"],"is_corresponding":true,"raw_author_name":"Pramod S. Kaushik","raw_affiliation_strings":["Inria Bordeaux Sud-Ouest, Talence, France","International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Inria Bordeaux Sud-Ouest, Talence, France","institution_ids":["https://openalex.org/I4210131512"]},{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052187248","display_name":"Maxime Carrere","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210087077","display_name":"Institut des Maladies Neurod\u00e9g\u00e9n\u00e9ratives","ror":"https://ror.org/001695n52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210087077","https://openalex.org/I4210096427"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maxime Carrere","raw_affiliation_strings":["Institut des Maladies Neurod\u00e9g\u00e9n\u00e9ratives, CNRS, UMR 5293, Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"Institut des Maladies Neurod\u00e9g\u00e9n\u00e9ratives, CNRS, UMR 5293, Bordeaux, France","institution_ids":["https://openalex.org/I4210087077","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073820572","display_name":"Fr\u00e9d\u00e9ric Alexandre","orcid":"https://orcid.org/0000-0002-6113-1878"},"institutions":[{"id":"https://openalex.org/I4210131512","display_name":"Centre de Recherche Inria Bordeaux - Sud-Ouest","ror":"https://ror.org/03tjcj052","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210131512"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210087077","display_name":"Institut des Maladies Neurod\u00e9g\u00e9n\u00e9ratives","ror":"https://ror.org/001695n52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210087077","https://openalex.org/I4210096427"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Alexandre","raw_affiliation_strings":["Inria Bordeaux Sud-Ouest, Talence, France","Institut des Maladies Neurod\u00e9g\u00e9n\u00e9ratives, CNRS, UMR 5293, Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"Inria Bordeaux Sud-Ouest, Talence, France","institution_ids":["https://openalex.org/I4210131512"]},{"raw_affiliation_string":"Institut des Maladies Neurod\u00e9g\u00e9n\u00e9ratives, CNRS, UMR 5293, Bordeaux, France","institution_ids":["https://openalex.org/I4210087077","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049423985","display_name":"Raju S. Bapi","orcid":"https://orcid.org/0000-0003-2204-0890"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]},{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Surampudi Bapi Raju","raw_affiliation_strings":["International Institute of Information Technology, Hyderabad, India","School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]},{"raw_affiliation_string":"School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I36893310"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035229102"],"corresponding_institution_ids":["https://openalex.org/I4210131512","https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.1123,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50536311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"3577","last_page":"3584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11178","display_name":"Receptor Mechanisms and Signaling","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11178","display_name":"Receptor Mechanisms and Signaling","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6559468507766724},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6453399658203125},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.6271942257881165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6092712879180908},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6043931841850281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5591229200363159},{"id":"https://openalex.org/keywords/classical-conditioning","display_name":"Classical conditioning","score":0.45453861355781555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44546428322792053},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3473100960254669},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.33310991525650024},{"id":"https://openalex.org/keywords/conditioning","display_name":"Conditioning","score":0.23977744579315186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11609905958175659},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09284994006156921}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6559468507766724},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6453399658203125},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.6271942257881165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092712879180908},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6043931841850281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5591229200363159},{"id":"https://openalex.org/C39617858","wikidata":"https://www.wikidata.org/wiki/Q212737","display_name":"Classical conditioning","level":3,"score":0.45453861355781555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44546428322792053},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3473100960254669},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.33310991525650024},{"id":"https://openalex.org/C45262634","wikidata":"https://www.wikidata.org/wiki/Q5159291","display_name":"Conditioning","level":2,"score":0.23977744579315186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11609905958175659},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09284994006156921},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01528658v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01528658","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ijcnn.org/","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01528658v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01528658","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ijcnn.org/","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W159393891","https://openalex.org/W1591076954","https://openalex.org/W1833848025","https://openalex.org/W1950797310","https://openalex.org/W1966215826","https://openalex.org/W1985717560","https://openalex.org/W1992663380","https://openalex.org/W2022561563","https://openalex.org/W2042593835","https://openalex.org/W2044176879","https://openalex.org/W2065689188","https://openalex.org/W2070893697","https://openalex.org/W2075312117","https://openalex.org/W2079150537","https://openalex.org/W2090969064","https://openalex.org/W2095350455","https://openalex.org/W2097649904","https://openalex.org/W2099119340","https://openalex.org/W2107093729","https://openalex.org/W2117726420","https://openalex.org/W2119631764","https://openalex.org/W2125200267","https://openalex.org/W2152681028","https://openalex.org/W2156912650","https://openalex.org/W2158553737","https://openalex.org/W2169054607","https://openalex.org/W2401816914","https://openalex.org/W2418204433","https://openalex.org/W2510958361","https://openalex.org/W4214717370","https://openalex.org/W4319054016"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2586732548","https://openalex.org/W2075964924"],"abstract_inverted_index":{"The":[0,32],"neurocomputational":[1],"model":[2,33],"described":[3],"here":[4],"proposes":[5],"that":[6,80],"two":[7],"dimensions":[8],"involved":[9],"in":[10,86],"computation":[11],"of":[12,46,53,65],"reward":[13],"prediction":[14],"errors":[15],"i.e":[16],"magnitude":[17],"and":[18,24,39,63,75],"time":[19],"could":[20],"be":[21],"computed":[22],"separately":[23],"later":[25],"combined":[26],"unlike":[27],"traditional":[28],"reinforcement":[29],"learning":[30],"models.":[31],"is":[34,40],"built":[35],"on":[36],"biological":[37,89],"evidences":[38],"able":[41],"to":[42],"reproduce":[43],"various":[44],"aspects":[45],"classical":[47],"conditioning,":[48],"namely,":[49],"the":[50,54,57],"progressive":[51],"cancellation":[52],"predicted":[55],"reward,":[56],"predictive":[58],"firing":[59,70],"from":[60],"conditioned":[61],"stimuli,":[62],"delineation":[64],"early":[66,73,78],"rewards":[67,74,79],"by":[68],"showing":[69],"for":[71,77],"sooner":[72],"not":[76],"occur":[81],"with":[82,88],"a":[83],"longer":[84],"latency":[85],"accordance":[87],"data.":[90]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
