{"id":"https://openalex.org/W7161630408","doi":"https://doi.org/10.3389/fncom.2026.1859797","title":"Editorial: AI and neuroscience: integrating knowledge, reasoning, and theory of mind","display_name":"Editorial: AI and neuroscience: integrating knowledge, reasoning, and theory of mind","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161630408","doi":"https://doi.org/10.3389/fncom.2026.1859797","pmid":"https://pubmed.ncbi.nlm.nih.gov/42238304"},"language":"en","primary_location":{"id":"doi:10.3389/fncom.2026.1859797","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2026.1859797","pdf_url":"https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2026.1859797/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"type":"editorial","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2026.1859797/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Darren J. Edwards","orcid":null},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Darren J. Edwards","raw_affiliation_strings":["Department of Public Health, Swansea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Public Health, Swansea University","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bochao Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I118692353","display_name":"University of Science and Technology","ror":"https://ror.org/05bj7sh33","country_code":"YE","type":"education","lineage":["https://openalex.org/I118692353"]},{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR","YE"],"is_corresponding":false,"raw_author_name":"Bochao Zou","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology","institution_ids":["https://openalex.org/I118692353","https://openalex.org/I88761825"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rob Lowe","orcid":null},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rob Lowe","raw_affiliation_strings":["School of Psychology, Swansea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Psychology, Swansea University","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"last","author":{"id":null,"display_name":"Andrew Owens","orcid":null},"institutions":[{"id":"https://openalex.org/I130198913","display_name":"Jaguar Land Rover (United Kingdom)","ror":"https://ror.org/03b66v461","country_code":"GB","type":"company","lineage":["https://openalex.org/I130198913"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew Owens","raw_affiliation_strings":["Jaguar Land Rover"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jaguar Land Rover","institution_ids":["https://openalex.org/I130198913"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3295,"currency":"USD","value_usd":3295},"apc_paid":{"value":3295,"currency":"USD","value_usd":3295},"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"1859797","last_page":"1859797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.42879998683929443,"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"}},"topics":[{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.42879998683929443,"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/T10656","display_name":"Child and Animal Learning Development","score":0.07720000296831131,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/T11431","display_name":"Action Observation and Synchronization","score":0.058400001376867294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5397999882698059},{"id":"https://openalex.org/keywords/consciousness","display_name":"Consciousness","score":0.5291000008583069},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46129998564720154},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.44190001487731934},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.4253999888896942},{"id":"https://openalex.org/keywords/cognitive-architecture","display_name":"Cognitive architecture","score":0.42399999499320984},{"id":"https://openalex.org/keywords/predictive-coding","display_name":"Predictive coding","score":0.36980000138282776},{"id":"https://openalex.org/keywords/computational-neuroscience","display_name":"Computational neuroscience","score":0.3571999967098236},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.35530000925064087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995999813079834},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.6570000052452087},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5397999882698059},{"id":"https://openalex.org/C186720457","wikidata":"https://www.wikidata.org/wiki/Q7087","display_name":"Consciousness","level":2,"score":0.5291000008583069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5095999836921692},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46129998564720154},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.44190001487731934},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.42399999499320984},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.36980000138282776},{"id":"https://openalex.org/C15286952","wikidata":"https://www.wikidata.org/wiki/Q8037925","display_name":"Computational neuroscience","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C162027153","wikidata":"https://www.wikidata.org/wiki/Q2264109","display_name":"Artificial general intelligence","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C2778473898","wikidata":"https://www.wikidata.org/wiki/Q2145110","display_name":"Repertoire","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C129979053","wikidata":"https://www.wikidata.org/wiki/Q2993663","display_name":"Artificial consciousness","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.29809999465942383},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.29510000348091125},{"id":"https://openalex.org/C2986342778","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Cognitive systems","level":3,"score":0.28769999742507935},{"id":"https://openalex.org/C33566652","wikidata":"https://www.wikidata.org/wiki/Q1065927","display_name":"Theme (computing)","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C192327766","wikidata":"https://www.wikidata.org/wiki/Q1038799","display_name":"Cognitive robotics","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C17289045","wikidata":"https://www.wikidata.org/wiki/Q1138951","display_name":"Cognitive neuroscience","level":3,"score":0.25360000133514404}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3389/fncom.2026.1859797","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2026.1859797","pdf_url":"https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2026.1859797/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},{"id":"pmid:42238304","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42238304","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in computational neuroscience","raw_type":null},{"id":"pmh:oai:cronfa.swan.ac.uk:cronfa71947","is_oa":true,"landing_page_url":"https://cronfa.swan.ac.uk/Record/cronfa71947","pdf_url":"https://cronfa.swan.ac.uk/Record/cronfa71947/Download/71947__36931__82bb9bd257a04c81bd90cbf2d4fe6ab0.pdf","source":{"id":"https://openalex.org/S4306401612","display_name":"Cronfa (Swansea University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39586589","host_organization_name":"Swansea University","host_organization_lineage":["https://openalex.org/I39586589"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal article"},{"id":"pmh:oai:doaj.org/article:7061158169aa4160bdcaa4f2a0d8719b","is_oa":true,"landing_page_url":"https://doaj.org/article/7061158169aa4160bdcaa4f2a0d8719b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Computational Neuroscience, Vol 20 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13226194","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13226194/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Comput Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fncom.2026.1859797","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2026.1859797","pdf_url":"https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2026.1859797/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5944036841392517,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7161630408.pdf","grobid_xml":"https://content.openalex.org/works/W7161630408.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2024902489","https://openalex.org/W2148544865","https://openalex.org/W2286419477","https://openalex.org/W2738724892","https://openalex.org/W2883065040","https://openalex.org/W3023756969","https://openalex.org/W4223433337","https://openalex.org/W4364376962","https://openalex.org/W4401433647","https://openalex.org/W4410635218"],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1,543,763,1486],"and":[2,15,31,55,60,89,118,132,174,214,222,274,306,326,336,372,382,402,408,435,448,460,491,508,530,544,557,566,578,580,605,624,642,652,672,687,728,740,772,779,802,817,822,837,864,873,910,913,933,939,961,978,986,997,1006,1025,1041,1074,1080,1095,1139,1168,1173,1189,1201,1221,1227,1273,1278,1307,1332,1356,1361,1374,1399,1438,1478,1498,1508,1532,1544,1558,1567,1572,1575,1579,1597,1602,1606,1632],"neuroscience":[3],"have":[4,1158],"been":[5],"converging":[6],"on":[7,493,881,943,1039,1224,1249],"a":[8,71,93,147,233,294,353,360,387,399,467,502,635,694,746,840,848,878,887,902,921,993,1046,1115,1127,1144,1179,1245,1296,1339,1345,1368,1416,1483,1538,1613,1629],"shared":[9,1539],"problem":[10,736],"about":[11],"how":[12,158,219,519,523,882,1447],"to":[13,37,217,252,279,322,332,406,868,926,984,995,1010,1058,1061,1076,1093,1098,1143,1161,1164,1208,1270,1303,1359,1496,1529,1612],"explain":[14,218,982],"ultimately":[16],"build":[17],"systems":[18,160,1092,1254,1474,1618],"(biological":[19],"or":[20,815],"synthetic)":[21],"that":[22,85,122,135,171,346,362,451,473,574,757,980,1069,1111,1130,1236,1259,1513],"can":[23,86,101,161,229,394,482,525,575,720,884,897,1070,1121,1403,1435],"acquire":[24],"knowledge":[25,169,298,727,1188,1200,1390,1526],"from":[26,34,602,1089,1300,1406,1492,1554,1560],"experience,":[27,1393],"reason":[28],"under":[29,304,839,1396],"uncertainty,":[30],"coordinate":[32],"perspectives":[33],"self-model":[35,401],"representations":[36],"other":[38],"minds":[39],"(Hassabis":[40],"et":[41,44,50,211,463,583,916],"al.,":[42,45,51,212,464,584,917],"2017;Langley":[43],"2022;Limanowski":[46],"&":[47,339,342,967,1083,1281],"Blankenburg,":[48],"2013;Nawaz":[49],"2025).":[52],"The":[53,238,626,1205,1350],"\"AI":[54,1596],"Neuroscience:":[56,1598],"Integrating":[57,1599],"Knowledge,":[58,1600],"Reasoning,":[59,1601],"Theory":[61,965,1603],"of":[62,74,78,116,142,149,264,312,444,549,563,591,599,613,631,638,684,714,749,796,834,842,851,871,889,930,953,958,989,1020,1029,1146,1187,1252,1315,1347,1380,1420,1485,1549,1582,1595,1604,1616,1628],"Mind\"":[63,1605],"theme":[64,730],"captures":[65],"this":[66,99,422,550,715,893,999,1209,1316,1381,1535],"convergence":[67],"by":[68,471,861,970],"explicitly":[69,318,857],"highlighting":[70,518],"broad":[72,94],"body":[73],"research":[75,692],"linking":[76,198,907],"accounts":[77,1028],"neural":[79,126,564,568,603,657,702,1565],"information":[80,524],"processing":[81],"with":[82,124,479,737,798,1023,1045],"computational":[83,928,1018],"architectures":[84,131,792],"learn,":[87],"generalize,":[88],"remain":[90,415],"interpretable.":[91],"At":[92,1422,1472,1501],"level,":[95,1425,1475,1505],"the":[96,119,166,178,184,288,307,425,445,498,547,553,560,587,597,610,616,682,712,718,725,753,758,775,780,794,809,811,831,948,954,987,1015,1087,1132,1152,1159,1175,1216,1250,1265,1285,1290,1378,1387,1423,1473,1502,1506,1524,1547,1580,1589,1593,1626],"contributions":[97,1414],"in":[98,177,224,247,330,375,390,411,475,559,752,783,793,819,1067,1102,1118,1218,1289,1432,1546],"collection":[100,1346],"be":[102,230,453,526,576,721,898,1071,1238,1404,1519],"read":[103,722,899],"as":[104,138,194,242,261,352,359,404,516,538,570,609,666,689,723,731,847,886,900,1178,1183,1232,1244,1338,1344,1367,1452,1462,1487],"collectively":[105],"operating":[106],"across":[107,615],"three":[108],"complementary":[109],"levels.":[110],"First,":[111],"they":[112,129,153,414,1459],"investigate":[113],"biological":[114,1433],"substrates":[115,1434],"computation":[117,569,1431],"representational":[120,520,1440],"constraints":[121,1223],"come":[123,1552],"real":[125],"tissue.":[127],"Second,":[128],"advance":[130,1482],"modeling":[133,971,1019,1480],"frameworks":[134],"treat":[136],"cognition":[137,163,374,439,1101,1123,1337],"an":[139,195,243,571,732,784,829,959,1165,1184,1233],"evolving":[140,785,955],"repertoire":[141],"learned":[143,1489],"competencies":[144,1268,1402,1490],"rather":[145,268,357,1342],"than":[146,269,358,1343],"set":[148],"isolated":[150,1556],"tasks.":[151],"Third,":[152],"address":[154],"human-AI":[155],"coupling,":[156],"i.e.,":[157,596,1257,1446],"AI":[159,280,284,373,413,1113,1170,1253,1516,1550],"extend":[162,1122],"without":[164,418],"displacing":[165],"very":[167,1266],"internal":[168,709,1064,1133,1185,1234,1525],"structures":[170,1134,1527],"make":[172,927],"reasoning":[173,301,883,1230,1262,1394],"perspective-taking":[175,1360],"possible":[176],"first":[179],"place.Edwards":[180],"(Edwards,":[181,189],"2025)":[182,344,465,585,744,918,1085],"extends":[183],"functional":[185,235,1305],"contextual":[186,236,1357],"N-Frame":[187],"model":[188],"2023(Edwards,":[190],",":[191,209],"2024)":[192],")":[193],"integrative":[196,1388],"theory":[197,311],"predictive":[199],"coding":[200],"(Friston,":[201],"2018;Spratling,":[202],"2017),":[203],"QBism-style":[204],"observer":[205,315],"dependence":[206],"(Fuchs,":[207],"2017(Fuchs,":[208],"2023;;Fuchs":[210],"2014),":[213],"evolutionary":[215],"dynamics":[216,988,1066],"belief":[220,380],"updating":[221],"decision-making":[223],"humans":[225,1157,1197,1522],"(and":[226],"potentially":[227,333],"AI)":[228],"modeled":[231],"within":[232,421],"quantum-cognitive":[234],"formalism.":[237],"paper":[239,426,554,719,787],"positions":[240],"consciousness":[241,281],"active,":[244],"context-sensitive":[245,1031],"participant":[246],"\"actualization\"":[248],"(bridging":[249],"quantum":[250,265],"potentiality":[251],"classical":[253,272],"outcomes),":[254],"uses":[255],"cognitive":[256,271,629,699,849,1024,1148,1194,1219,1267,1365,1584],"fallacies":[257],"(e.g.,":[258,647,975,1325,1442],"conjunction":[259],"effects)":[260],"structured":[262],"signatures":[263],"context-dependent":[266],"inference":[267],"mere":[270],"irrationality,":[273],"proposes":[275,828],"testable":[276],"boundaries/parameters":[277],"relevant":[278],"beyond":[282,501],"standard":[283],"benchmark":[285],"performance.":[286],"In":[287,546,711,1377],"Research":[289,423,551,716,894,1210,1382,1536],"Topic's":[290],"terms,":[291],"it":[292,505,865,896,1120,1214,1228,1384,1609],"offers":[293],"unifying":[295,903],"scaffold":[296],"for":[297,310,455,541,674,761,906,1136,1193,1255,1469,1622,1625],"(context-shaped":[299],"representations),":[300],"(state":[302],"updates":[303,417],"constraints),":[305],"foundations":[308],"needed":[309],"mind":[313],"(self-referential":[314],"modeling),":[316],"while":[317,385,440,661,876,1124],"connecting":[319],"these":[320,1413],"claims":[321],"experimentally":[323,940],"oriented":[324],"predictions":[325],"formal":[327,879],"operator-style":[328],"descriptions,":[329],"order":[331],"develop":[334,1198],"safe":[335],"ethical":[337],"AI.T\u00fct\u00fcnc\u00fc":[338],"Gonzalez-Franco":[340],"(T\u00fct\u00fcnc\u00fc":[341],"Gonzalez-Franco,":[343],"argues":[345,1110],"\"algorithmic":[347],"suffering\"":[348],"is":[349,764,813,856,1001,1212,1318,1587],"best":[350],"treated":[351],"comparative":[354,636],"neuroscientific":[355],"lens":[356,880],"claim":[361],"machines":[363,650],"literally":[364],"feel":[365],"pain.":[366],"They":[367,1150],"identify":[368],"parallels":[369],"between":[370,777,1322,1370,1564,1569,1576],"human":[371,457,1100,1261,1503,1583],"reward":[376],"prediction":[377,392],"error,":[378],"Bayesian":[379],"updating,":[381],"risk":[383,1263],"anticipation,":[384],"emphasizing":[386,662],"decisive":[388],"asymmetry:":[389],"humans,":[391],"errors":[393],"become":[395],"globally":[396],"integrated":[397],"into":[398],"conscious":[400],"experienced":[403],"threats":[405],"meaning":[407],"integrity,":[409],"whereas":[410],"current":[412],"numerical":[416],"phenomenology.":[419],"Framed":[420],"Topic,":[424,552,717,895,1383,1537],"helps":[427],"clarify":[428,1429],"where":[429,1052],"AI's":[430],"performance":[431,1623],"(its":[432],"observable":[433],"behavior":[434],"outputs)":[436],"may":[437,536,981],"mimic":[438],"still":[441],"falling":[442],"short":[443],"selfhood,":[446],"meaning,":[447],"experiential":[449],"integration":[450,1590],"would":[452],"required":[454,1135,1269,1528],"genuinely":[456],"mind-like":[458],"understanding.K\u00fcchler":[459],"colleagues":[461,581,914],"(K\u00fcchler":[462],"provide":[466],"clear":[468],"\"wetware-to-logic\"":[469],"bridge":[470,696,1369],"demonstrating":[472],"engineered":[474,1426],"vitro":[476],"neuronal":[477,1427],"networks":[478,535,1428],"controlled":[480],"topology":[481],"implement":[483],"basic":[484],"Boolean":[485],"operations":[486],"(including":[487],"NAND/OR)":[488],"using":[489],"stimulation":[490],"readout":[492],"high-density":[494],"microelectrode":[495],"arrays.":[496],"Importantly,":[497],"work":[499,1000,1317],"goes":[500],"proof-ofprinciple":[503],"gate:":[504],"interrogates":[506],"encoding":[507],"decoding":[509,598,707],"choices":[510,1441],"(rate-based":[511],"versus":[512,655,1444],"spike-timingbased":[513],"schemes":[514],"such":[515,665,1451,1461],"TTFS),":[517],"format":[521],"constrains":[522],"reliably":[527],"encoded,":[528],"transmitted,":[529],"thus":[531],"computed.":[532],"Such":[533],"minimal":[534,843],"serve":[537],"building":[539,1090,1561],"blocks":[540],"hybrid":[542],"biocomputing.":[545],"context":[548,713,1379],"grounds":[555],"\"knowledge":[556,996],"reasoning\"":[558,729],"physical":[561],"realities":[562],"signalling":[565],"frames":[567],"input-output":[572],"mapping":[573,1321],"characterized":[577],"engineered.Chowdhury":[579],"(Chowdhury":[582],"review":[586,627,1284],"rapidly":[588],"developing":[589],"landscape":[590],"inner":[592,632,678,705],"speech":[593,601,633,679,706],"recognition":[594],"(ISR),":[595],"covert/inner":[600],"signals,":[604],"position":[606],"machine":[607,639],"learning":[608,640,644,1022,1138,1302,1355,1408,1570],"primary":[611],"driver":[612],"progress":[614,1543],"ISR":[617,691],"pipeline":[618],"(signal":[619],"acquisition,":[620],"preprocessing,":[621],"feature":[622],"extraction,":[623],"classification).":[625],"synthesizes":[628],"models":[630,929,1053,1373],"alongside":[634],"analysis":[637],"(ML)":[641],"deep":[643,1137,1147],"(DL)":[645],"approaches":[646],"support":[648,1099],"vector":[649],"(SVMs)":[651],"random":[653],"forests":[654],"convolutional":[656],"network":[658,973],"(CNN-based":[659],"models)),":[660],"persistent":[663],"barriers":[664],"signal-to-noise":[667],"limitations,":[668,1329],"inter-subject":[669],"variability,":[670],"interpretability,":[671],"challenges":[673],"real-time":[675,951],"deployment.":[676],"Conceptually,":[677],"sits":[680],"at":[681,804,808,1592],"intersection":[683],"language,":[685],"self-regulation,":[686],"planning;":[688],"such,":[690],"provides":[693,950],"natural":[695],"toward":[697,1049],"higher-order":[698,972],"functions":[700,1243],"(i.e.,":[701],"signals":[703],"\u2192":[704,708],"cognition).":[710],"exemplifying":[724],"\"integrating":[726],"applied":[733],"neuroscience-to-AI":[734],"translation":[735],"significant":[738,1002],"clinical":[739],"assistive-technology":[741],"implications.Prudkov":[742],"(Prudkov,":[743],"advances":[745],"hypothesis-and-theory":[747],"account":[748],"AGI":[750,1375],"grounded":[751],"\"goals-means":[754],"correspondence,\"":[755],"arguing":[756],"central":[759,1313],"challenge":[760,1591],"general":[762],"not":[765,1056,1620],"merely":[766],"producing":[767],"competent":[768],"outputs,":[769],"but":[770,1060,1624],"establishing":[771],"dynamically":[773],"maintaining":[774],"correspondence":[776],"goals":[778,801,821,836],"means":[781,803,823,838],"available":[782],"world.The":[786],"critiques":[788],"two":[789],"conventional":[790],"agent":[791,812,960],"form":[795],"those":[797,818],"jointly":[799],"specified":[800],"\"birth,\"":[805],"(that":[806],"is,":[807],"moment":[810],"created":[814],"initialized),":[816],"which":[820],"are":[824,1008,1054],"constructed":[825],"separately.":[826],"It":[827,1241],"alternative:":[830],"joint":[832],"construction":[833,844],"arbitrary":[835],"criterion":[841],"cost,":[845],"framed":[846],"analogue":[850],"least":[852],"action.":[853],"This":[854,1586],"proposal":[855],"developmental":[858,1298],"(agents":[859],"\"grow\"":[860],"altering":[862],"structure),":[863],"connects":[866,1017],"naturally":[867],"neuroscience-informed":[869],"views":[870],"planning":[872],"prefrontal":[874],"control,":[875],"supplying":[877],"emerge":[885],"type":[888],"goal-directed":[890],"process.":[891],"Within":[892],"contributing":[901],"architectural":[904,1323,1476],"principle":[905],"learning,":[908,1256],"reasoning,":[909,1226],"adaptive":[911],"agency.O'Sullivan":[912],"(O'Sullivan":[915],"introduce":[919,1151],"\"Affinity\",":[920],"visual":[922,1035],"analytics":[923,1036],"tool":[924,949,1577],"designed":[925,1055,1619],"stimulus":[931],"equivalence":[932],"derived":[934],"relational":[935,956,990,1004,1021,1310,1330,1354,1499,1573],"responding":[936],"more":[937,1559,1633],"transparent":[938],"useful.":[941],"Built":[942],"Enhanced":[944],"Equivalence":[945],"Projective":[946],"Simulation,":[947],"visualizations":[952],"memory":[957],"operationalizes":[962],"Relational":[963],"Density":[964],"(Belisle":[966],"Dixon,":[968],"2020)":[969],"properties":[974],"density,":[976],"volume,":[977],"mass)":[979],"resistance":[983],"change":[985],"learning.":[991],"As":[992],"contribution":[994],"reasoning,\"":[998],"because":[1003],"generalization":[1005],"abstraction":[1007],"foundational":[1009],"language-like":[1011],"cognition.":[1012],"More":[1013],"broadly,":[1014],"framework":[1016,1109],"behavioral":[1026],"science":[1027,1220],"flexible,":[1030],"responding.":[1032,1311],"Affinity's":[1033],"(their":[1034],"tool)":[1037],"emphasis":[1038],"interpretability":[1040],"experiment-as-interface":[1042],"also":[1043,1125,1352],"aligns":[1044],"wider":[1047],"shift":[1048],"explainable":[1050],"AI,":[1051],"only":[1057,1518,1621],"perform":[1059],"reveal":[1062],"their":[1063],"process":[1065,1341,1372,1562],"ways":[1068],"systematically":[1072],"analyzed":[1073],"compared":[1075],"empirical":[1077],"data.":[1078],"Klein":[1079,1081],"(Klein":[1082],"Klein,":[1084],"broaden":[1086],"scope":[1088],"intelligent":[1091,1617],"preserving":[1094],"redesigning":[1096],"environments":[1097],"AI-rich":[1103],"contexts.":[1104],"Their":[1105],"\"extended":[1106],"hollowed":[1107],"mind\"":[1108],"generative":[1112],"produces":[1114],"dual":[1116],"outcome":[1117],"education:":[1119],"enabling":[1126],"\"cognitive":[1128],"bypass\"":[1129],"weakens":[1131],"evaluative":[1140],"judgment,":[1141],"leading":[1142],"lack":[1145],"understanding.":[1149],"term":[1153],"\"Sovereignty":[1154],"Trap\"":[1155],"(whereby":[1156,1196],"tendency":[1160],"cede":[1162],"judgment":[1163],"authoritative":[1166],"system":[1167],"trust":[1169],"too":[1171],"much)":[1172],"reframe":[1174],"educational":[1176,1507],"target":[1177],"\"Fortified":[1180],"Mind,\"":[1181],"defined":[1182],"architecture":[1186,1235,1366],"metacognitive":[1190],"skills":[1191],"necessary":[1192],"sovereignty":[1195],"solid":[1199],"critical":[1202],"thinking":[1203],"skills).":[1204],"paper's":[1206],"relevance":[1207],"Topic":[1211],"twofold:":[1213],"anchors":[1215],"discussion":[1217],"neurobiological":[1222],"effortful":[1225],"treats":[1229],"capacity":[1231],"must":[1237],"actively":[1239],"trained.":[1240],"therefore":[1242],"crucial":[1246],"boundary":[1247],"condition":[1248],"design":[1251,1578],"tools":[1258,1481],"replace":[1260],"degrading":[1264],"interpret,":[1271],"validate,":[1272],"effectively":[1274],"use":[1275],"them.Finally,":[1276],"Johansson":[1277],"Hammer":[1279],"(Johansson":[1280],"Hammer,":[1282],"2026)":[1283],"Machine-Psychology":[1286],"program":[1287],"implemented":[1288],"Non-Axiomatic":[1291],"Reasoning":[1292],"System":[1293],"(NARS),":[1294],"presenting":[1295],"staged":[1297],"roadmap":[1299],"operant":[1301],"abstraction,":[1304,1574],"equivalence,":[1306],"arbitrarily":[1308],"applicable":[1309],"A":[1312],"strength":[1314],"its":[1319],"explicit":[1320],"mechanisms":[1324],"temporal":[1326],"inference,":[1327],"resource":[1328],"generalization)":[1331],"well-established":[1333],"psychological":[1334],"phenomena,":[1335],"treating":[1336],"learnable":[1340],"task-specific":[1348],"solutions.":[1349],"manuscript":[1351],"links":[1353],"control":[1358],"theory-of-mind-related":[1362],"abilities,":[1363],"situating":[1364],"neuroscience-relevant":[1371],"ambitions.":[1376],"directly":[1385],"embodies":[1386],"thesis:":[1389],"emerges":[1391],"through":[1392],"operates":[1395],"bounded":[1397],"resources,":[1398],"higher":[1400],"social-cognitive":[1401],"built":[1405],"tractable":[1407],"primitives.In":[1409],"conclusion,":[1410],"taken":[1411],"together,":[1412],"sketch":[1415],"coherent":[1417],"multi-scale":[1418],"picture":[1419],"integration.":[1421],"substrate":[1424],"what":[1430],"look":[1436],"like,":[1437],"why":[1439],"rate":[1443],"timing,":[1445],"often":[1448],"neurons":[1449],"fire,":[1450,1460],"50":[1453],"spikes":[1454],"per":[1455],"second":[1456],"vs.":[1457],"when":[1458],"precise":[1463],"millisecond":[1464],"patterns,":[1465],"order,":[1466],"synchrony)":[1467],"matter":[1468],"reliable":[1470],"inference.":[1471],"proposals":[1477],"interpretable":[1479],"view":[1484],"developmental:":[1488],"accumulate":[1491],"simple":[1493],"feedback-driven":[1494],"adaptation":[1495],"symbolic":[1497],"generalization.":[1500],"interface":[1504],"epistemic":[1509],"framing":[1510],"reminds":[1511],"us":[1512],"theory-of-mind-related,":[1514],"reasoning-enabled":[1515],"will":[1517,1610],"beneficial":[1520],"if":[1521],"retain":[1523],"evaluate,":[1530],"contextualize,":[1531],"govern":[1533],"it.From":[1534],"message":[1540],"emerges.":[1541],"Societal":[1542],"wellbeing":[1545],"age":[1548],"clearly":[1551],"less":[1553],"chasing":[1555],"benchmarks":[1557],"bridges:":[1563],"codes":[1566],"computation,":[1568],"histories":[1571],"preservation":[1581],"sovereignty.":[1585],"precisely":[1588],"heart":[1594],"we":[1607],"hope":[1608],"lead":[1611],"new":[1614],"generation":[1615],"advancement":[1627],"fairer,":[1630],"healthier,":[1631],"resilient":[1634],"society.":[1635]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-05-19T00:00:00"}
