{"id":"https://openalex.org/W1966346453","doi":"https://doi.org/10.1142/s0129065792000322","title":"LEARNING CONSTRAINTS IN STORAGE CAPACITY IN NETWORKS WITH DYNAMIC SYNAPSES","display_name":"LEARNING CONSTRAINTS IN STORAGE CAPACITY IN NETWORKS WITH DYNAMIC SYNAPSES","publication_year":1992,"publication_date":"1992-01-01","ids":{"openalex":"https://openalex.org/W1966346453","doi":"https://doi.org/10.1142/s0129065792000322","mag":"1966346453"},"language":"en","primary_location":{"id":"doi:10.1142/s0129065792000322","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065792000322","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-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/A5071051042","display_name":"Stefano Fusi","orcid":"https://orcid.org/0000-0002-3035-6652"},"institutions":[{"id":"https://openalex.org/I4210157426","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Roma I","ror":"https://ror.org/05eva6s33","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210157426"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefano Fusi","raw_affiliation_strings":["INFN, Sezione di Roma, Istituto di Fisica, Universit\u00e0 di Roma, La Sapienza, P.le Aldo Moro, Roma, Italy"],"affiliations":[{"raw_affiliation_string":"INFN, Sezione di Roma, Istituto di Fisica, Universit\u00e0 di Roma, La Sapienza, P.le Aldo Moro, Roma, Italy","institution_ids":["https://openalex.org/I4210157426"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112799021","display_name":"Daniel J. Amit","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157426","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Roma I","ror":"https://ror.org/05eva6s33","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210157426"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniel J. Amit","raw_affiliation_strings":["INFN, Sezione di Roma, Istituto di Fisica, Universit\u00e0 di Roma, La Sapienza, P.le Aldo Moro, Roma, Italy"],"affiliations":[{"raw_affiliation_string":"INFN, Sezione di Roma, Istituto di Fisica, Universit\u00e0 di Roma, La Sapienza, P.le Aldo Moro, Roma, Italy","institution_ids":["https://openalex.org/I4210157426"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071051042"],"corresponding_institution_ids":["https://openalex.org/I4210157426"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09288139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"03","issue":"supp01","first_page":"3","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9876000285148621,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9782999753952026,"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/computer-science","display_name":"Computer science","score":0.7528891563415527},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.7055407762527466},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5891844034194946},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5743134021759033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5637661814689636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425861477851868},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.48119837045669556},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.4519802927970886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34536829590797424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1618727147579193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528891563415527},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.7055407762527466},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5891844034194946},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5743134021759033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5637661814689636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425861477851868},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.48119837045669556},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.4519802927970886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34536829590797424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1618727147579193},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0129065792000322","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065792000322","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2590565095","https://openalex.org/W2160366419","https://openalex.org/W2149471286","https://openalex.org/W2055870375","https://openalex.org/W2011664814","https://openalex.org/W2910555889","https://openalex.org/W2096837800","https://openalex.org/W2112751893","https://openalex.org/W2027409595","https://openalex.org/W2615424382"],"abstract_inverted_index":{"Some":[0],"constraints":[1,82,126],"intrinsic":[2],"to":[3,47,51],"unsupervised":[4,33],"learning":[5,25,77,135],"in":[6,30,88,105,127,138],"attractor":[7],"neural":[8],"networks":[9],"(ANN)":[10],"are":[11,40,58,79,86],"discussed.":[12],"We":[13,121],"present":[14],"a":[15,31,64,92,130],"very":[16],"simple":[17],"realizable":[18],"model":[19],"of":[20,23,37,94,113,132],"ANN":[21],"capable":[22],"dynamically":[24],"and":[26,81],"classifying":[27],"input":[28],"stimuli":[29],"totally":[32],"fashion.":[34],"The":[35],"synapses":[36],"the":[38,60,69,89,106,111],"network":[39,93],"analog":[41],"dynamic":[42],"variables":[43],"whose":[44],"values":[45],"have":[46,122],"be":[48],"periodically":[49],"refreshed":[50],"avoid":[52],"memory":[53],"loss.":[54],"Two":[55],"refreshing":[56],"mechanisms":[57],"discussed:":[59],"first":[61],"one":[62,71],"is":[63],"periodic":[65],"deterministic":[66],"refresh":[67],"while":[68,104],"second":[70],"acts":[72],"stochastically.":[73],"Then":[74],"some":[75],"typical":[76],"scenarios":[78],"described":[80],"on":[83],"storage":[84],"capacity":[85],"exposed:":[87],"worst":[90],"case":[91,108],"N":[95],"neurons":[96],"can":[97],"learn":[98],"at":[99],"most":[100],"O(ln":[101],"N)":[102],"patterns":[103,115],"best":[107],"(stochastic":[109],"learning)":[110],"number":[112],"stored":[114],"cannot":[116],"surpass":[117],"[Formula:":[118],"see":[119],"text].":[120],"come":[123],"across":[124],"these":[125],"connection":[128],"with":[129],"design":[131],"an":[133],"organically":[134],"ANN,":[136],"implemented":[137],"silicon.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}