{"id":"https://openalex.org/W2798208588","doi":"https://doi.org/10.1109/ijcnn.2018.8489751","title":"AFA-PredNet: The Action Modulation Within Predictive Coding","display_name":"AFA-PredNet: The Action Modulation Within Predictive Coding","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2798208588","doi":"https://doi.org/10.1109/ijcnn.2018.8489751","mag":"2798208588"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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/A5030956545","display_name":"Junpei Zhong","orcid":"https://orcid.org/0000-0001-7642-2961"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Junpei Zhong","raw_affiliation_strings":["Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091768977","display_name":"Angelo Cangelosi","orcid":"https://orcid.org/0000-0002-4709-2243"},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Angelo Cangelosi","raw_affiliation_strings":["Centre for Robotics and Neural Systems, Plymouth University, Plymouth, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Robotics and Neural Systems, Plymouth University, Plymouth, United Kingdom","institution_ids":["https://openalex.org/I897542642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904952","display_name":"Xinzheng Zhang","orcid":"https://orcid.org/0000-0002-3376-9823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinzheng Zhang","raw_affiliation_strings":["School of Electrical Engineering, Jinan University, Zhuhai, China P.R"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Jinan University, Zhuhai, China P.R","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055922202","display_name":"Tetsuya Ogata","orcid":"https://orcid.org/0000-0001-7015-0379"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Ogata","raw_affiliation_strings":["Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030956545"],"corresponding_institution_ids":["https://openalex.org/I73613424"],"apc_list":null,"apc_paid":null,"fwci":1.0822,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78901039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.7097430229187012},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6146750450134277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.611518144607544},{"id":"https://openalex.org/keywords/predictive-coding","display_name":"Predictive coding","score":0.5987361073493958},{"id":"https://openalex.org/keywords/percept","display_name":"Percept","score":0.5902963280677795},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.5791182518005371},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5316104888916016},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5313549637794495},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5149462819099426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5025649070739746},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4478616416454315},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.43404707312583923},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13848021626472473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097430229187012},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6146750450134277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.611518144607544},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.5987361073493958},{"id":"https://openalex.org/C2779687425","wikidata":"https://www.wikidata.org/wiki/Q7166998","display_name":"Percept","level":3,"score":0.5902963280677795},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.5791182518005371},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5316104888916016},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5313549637794495},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5149462819099426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5025649070739746},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4478616416454315},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43404707312583923},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13848021626472473},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W35834047","https://openalex.org/W1418557530","https://openalex.org/W1485009520","https://openalex.org/W1725026462","https://openalex.org/W1947481528","https://openalex.org/W1973243121","https://openalex.org/W1994598263","https://openalex.org/W2020954172","https://openalex.org/W2023869074","https://openalex.org/W2028418738","https://openalex.org/W2032139276","https://openalex.org/W2037091700","https://openalex.org/W2064675550","https://openalex.org/W2081817157","https://openalex.org/W2082511574","https://openalex.org/W2097861969","https://openalex.org/W2111947800","https://openalex.org/W2112796928","https://openalex.org/W2113261002","https://openalex.org/W2119885245","https://openalex.org/W2127958135","https://openalex.org/W2131352719","https://openalex.org/W2143623899","https://openalex.org/W2144974435","https://openalex.org/W2150327996","https://openalex.org/W2153791616","https://openalex.org/W2159893335","https://openalex.org/W2326241526","https://openalex.org/W2389918067","https://openalex.org/W2401640538","https://openalex.org/W2490610550","https://openalex.org/W2573514974","https://openalex.org/W2590462708","https://openalex.org/W2963986337","https://openalex.org/W4294554810","https://openalex.org/W4388366997","https://openalex.org/W6601439495","https://openalex.org/W6628877408","https://openalex.org/W6682783397","https://openalex.org/W6711187598","https://openalex.org/W6713563955","https://openalex.org/W6731614154","https://openalex.org/W6735312159","https://openalex.org/W6858727242"],"related_works":["https://openalex.org/W1968243767","https://openalex.org/W2332178033","https://openalex.org/W3154612367","https://openalex.org/W3211196695","https://openalex.org/W2991225413","https://openalex.org/W1629725936","https://openalex.org/W2624714767","https://openalex.org/W4206558754","https://openalex.org/W2112962120","https://openalex.org/W2318615069"],"abstract_inverted_index":{"The":[0],"predictive":[1,7,65,132,188],"processing":[2],"(PP)":[3],"hypothesizes":[4],"that":[5,41,183],"the":[6,17,46,51,58,68,83,90,98,104,113,127,136,149,168,176,184,198,203],"inference":[8,34,186],"of":[9,32,116,187],"our":[10,121],"sensorimotor":[11,69],"system":[12],"is":[13,54,71,79,87,200],"encoded":[14,36],"implicitly":[15],"in":[16,28,61,67,73,171],"regularities":[18,31],"between":[19],"perception":[20,109],"and":[21,86,110,159],"action.":[22],"We":[23,38],"propose":[24],"a":[25,74,130,142,155,160,172],"neural":[26,177],"architecture":[27],"which":[29],"such":[30],"active":[33],"are":[35,164],"hierarchically.":[37],"further":[39],"suggest":[40],"this":[42,64,96,117],"encoding":[43],"emerges":[44],"during":[45],"embodied":[47,123],"learning":[48],"process":[49],"when":[50],"appropriate":[52],"action":[53,111,138],"selected":[55],"to":[56,147,166],"minimize":[57],"prediction":[59,92,100],"error":[60,93],"perception.":[62],"Therefore,":[63],"stream":[66],"loop":[70],"generated":[72],"top-down":[75,99,151],"manner.":[76],"Specifically,":[77],"it":[78,179],"constantly":[80],"modulated":[81],"by":[82,89,141],"motor":[84,137,191],"actions":[85,192],"updated":[88],"bottom-up":[91],"signals.":[94],"In":[95,120,175],"way,":[97],"originally":[101],"comes":[102],"from":[103,107,190],"prior":[105],"experience":[106],"both":[108],"representing":[112],"higher":[114],"levels":[115],"hierarchical":[118,131],"cognition.":[119],"proposed":[122,169],"model,":[124],"we":[125],"extend":[126],"PredNet":[128],"Network,":[129],"coding":[133],"network,":[134],"with":[135,202],"units":[139],"implemented":[140],"multi-layer":[143],"perceptron":[144],"network":[145,150],"(MLP)":[146],"modulate":[148],"prediction.":[152],"Two":[153],"experiments,":[154],"minimalistic":[156],"world":[157],"experiment,":[158],"mobile":[161],"robot":[162],"experiment":[163],"conducted":[165],"evaluate":[167],"model":[170],"qualitative":[173],"way.":[174],"representation,":[178],"can":[180,193],"be":[181,194],"observed":[182,196],"causal":[185],"percept":[189],"also":[195],"while":[197],"agent":[199],"interacting":[201],"environment.":[204]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}