{"id":"https://openalex.org/W1493971325","doi":"https://doi.org/10.7551/mitpress/3905.001.0001","title":"An Introduction to Neural Networks","display_name":"An Introduction to Neural Networks","publication_year":1995,"publication_date":"1995-03-16","ids":{"openalex":"https://openalex.org/W1493971325","doi":"https://doi.org/10.7551/mitpress/3905.001.0001","mag":"1493971325"},"language":"en","primary_location":{"id":"doi:10.7551/mitpress/3905.001.0001","doi":"https://doi.org/10.7551/mitpress/3905.001.0001","is_oa":false,"landing_page_url":"https://doi.org/10.7551/mitpress/3905.001.0001","pdf_url":null,"source":{"id":"https://openalex.org/S4306463997","display_name":"The MIT Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"monograph"},"volume":null,"type":"book","is_traditional":true,"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":null,"display_name":"James A. Anderson","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"James A. Anderson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5176,"has_fulltext":false,"cited_by_count":1137,"citation_normalized_percentile":{"value":0.97663551,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9970999956130981,"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":0.9970999956130981,"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"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.0008999999845400453,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.0006000000284984708,"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/neural-network","display_name":"artificial neural networks","score":0.9900000095367432},{"id":"https://openalex.org/keywords/associative-memory","display_name":"associative memory","score":0.6710000038146973},{"id":"https://openalex.org/keywords/data-representation","display_name":"data representation","score":0.7400000095367432},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"parallel computing","score":0.6809999942779541},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"cognitive science","score":0.6690000295639038},{"id":"https://openalex.org/keywords/neuroscience","display_name":"neuroscience","score":0.8080000281333923},{"id":"https://openalex.org/keywords/neural-network-programming","display_name":"neural network programming","score":0.4790000021457672}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5075668096542358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44037243723869324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2579191029071808}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7551/mitpress/3905.001.0001","doi":"https://doi.org/10.7551/mitpress/3905.001.0001","is_oa":false,"landing_page_url":"https://doi.org/10.7551/mitpress/3905.001.0001","pdf_url":null,"source":{"id":"https://openalex.org/S4306463997","display_name":"The MIT Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"monograph"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2535198773","https://openalex.org/W350983361","https://openalex.org/W2097180914","https://openalex.org/W2178929786","https://openalex.org/W2480706729","https://openalex.org/W4233335867","https://openalex.org/W1615231525","https://openalex.org/W2908954412","https://openalex.org/W2317712749","https://openalex.org/W3088611205"],"abstract_inverted_index":{"An":[0],"Introduction":[1],"to":[2,36,50,55,66,122,125,144,235,305,311],"Neural":[3],"Networks":[4],"falls":[5],"into":[6,180,238,294],"a":[7,23,70,126,131,161,263],"new":[8,203],"ecological":[9],"niche":[10],"for":[11,20,160],"texts.":[12],"Based":[13],"on":[14,80,94,134],"notes":[15,229],"that":[16,188,230],"have":[17,233,247],"been":[18],"class-tested":[19],"more":[21],"than":[22],"decade,":[24],"it":[25],"is":[26,61,279],"aimed":[27],"at":[28,46],"cognitive":[29,74,210,288,301],"science":[30,75,289,302],"and":[31,45,57,73,83,106,110,129,138,150,208,212,265,273,290,307],"neuroscience":[32,72,291,308],"students":[33],"who":[34,48,194,214],"need":[35],"understand":[37],"brain":[38],"function":[39],"in":[40,177,185,198,217,255],"terms":[41],"of":[42,88,114,155,164,201,253,268,283],"computational":[43,107],"modeling,":[44],"engineers":[47,193,246],"want":[49],"go":[51],"beyond":[52],"formal":[53],"algorithms":[54],"applications":[56,200],"computing":[58,206],"strategies.":[59],"It":[60,102],"the":[62,81,86,89,96,104,115,145,156,165,186,192,202,209,221,231,245,251,256,276,280],"only":[63],"current":[64],"text":[65],"approach":[67],"networks":[68,174],"from":[69],"broad":[71],"perspective,":[76],"with":[77,153,250],"an":[78,112],"emphasis":[79],"biology":[82],"psychology":[84],"behind":[85],"assumptions":[87],"models,":[90],"as":[91,93,172],"well":[92],"what":[95,304],"models":[97],"might":[98],"be":[99,298],"used":[100],"for.":[101],"describes":[103],"mathematical":[105],"tools":[108],"needed":[109],"provides":[111,262],"account":[113],"author's":[116,146],"own":[117],"ideas.":[118],"Students":[119],"learn":[120],"how":[121,295,310],"teach":[123],"arithmetic":[124],"neural":[127,173,284],"network":[128,285],"get":[130],"short":[132],"course":[133],"linear":[135],"associative":[136],"memory":[137],"adaptive":[139],"maps.":[140],"They":[141],"are":[142,151,189,195,215],"introduced":[143],"brain-state-in-a-box":[147],"(BSB)":[148],"model":[149],"provided":[152],"some":[154],"neurobiological":[157],"background":[158],"necessary":[159],"firm":[162],"grasp":[163],"general":[166],"subject.":[167],"The":[168],"field":[169],"now":[170],"known":[171],"has":[175],"split":[176],"recent":[178],"years":[179],"two":[181,225],"major":[182,281],"groups,":[183],"mirrored":[184],"texts":[187],"currently":[190],"available:":[191],"primarily":[196],"interested":[197,216],"practical":[199],"adaptive,":[204],"parallel":[205],"technology,":[207],"scientists":[211],"neuroscientists":[213],"scientific":[218],"applications.":[219],"As":[220],"gap":[222],"between":[223],"these":[224],"groups":[226],"widens,":[227],"Anderson":[228],"academics":[232],"tended":[234],"drift":[236],"off":[237],"irrelevant,":[239],"often":[240],"excessively":[241],"abstract":[242],"research":[243],"while":[244],"lost":[248],"contact":[249],"source":[252,267],"ideas":[254,269],"field.":[257],"Neuroscience,":[258],"he":[259],"points":[260],"out,":[261],"rich":[264],"valuable":[266],"about":[270],"data":[271,277],"representation":[272,278],"setting":[274],"up":[275],"part":[282],"programming.":[286],"Both":[287],"give":[292],"insights":[293],"this":[296],"can":[297],"done":[299],"effectively:":[300],"suggests":[303,309],"compute":[306,312],"it.":[313],"Bradford":[314],"Books":[315],"imprint":[316]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":45},{"year":2023,"cited_by_count":51},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":35},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":47},{"year":2016,"cited_by_count":45},{"year":2015,"cited_by_count":52},{"year":2014,"cited_by_count":48},{"year":2013,"cited_by_count":53},{"year":2012,"cited_by_count":41}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
