{"id":"https://openalex.org/W1921955140","doi":"https://doi.org/10.1109/ijcnn.2003.1223797","title":"Phase transitions in a probabilistic cellular neural network model having local and remote connections","display_name":"Phase transitions in a probabilistic cellular neural network model having local and remote connections","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W1921955140","doi":"https://doi.org/10.1109/ijcnn.2003.1223797","mag":"1921955140"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5086695260","display_name":"Marko Puljic","orcid":null},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Puljic","raw_affiliation_strings":["Computational Intelligence Lab, Division of Computer Science, University of Memphis, Memphis, TN, USA","Div. of Comput. Sci., Memphis Univ., TN, USA"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Lab, Division of Computer Science, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Div. of Comput. Sci., Memphis Univ., TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011829386","display_name":"R\u00f3bert Kozma","orcid":"https://orcid.org/0000-0001-7011-5768"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Kozma","raw_affiliation_strings":["Computational Intelligence Lab, Division of Computer Science, University of Memphis, Memphis, TN, USA","Div. of Comput. Sci., Memphis Univ., TN, USA"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Lab, Division of Computer Science, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Div. of Comput. Sci., Memphis Univ., TN, USA","institution_ids":["https://openalex.org/I94658018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086695260"],"corresponding_institution_ids":["https://openalex.org/I94658018"],"apc_list":null,"apc_paid":null,"fwci":1.1587,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82293848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"831","last_page":"835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9965999722480774,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.8066465854644775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6453725099563599},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.602871298789978},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5897315740585327},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5861587524414062},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.579413652420044},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5259352326393127},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5242895483970642},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.4270751476287842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40880656242370605},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3413221836090088},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2003398835659027},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.16185876727104187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1492571234703064},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13378864526748657},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08205020427703857}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8066465854644775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453725099563599},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.602871298789978},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5897315740585327},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5861587524414062},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.579413652420044},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5259352326393127},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5242895483970642},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.4270751476287842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40880656242370605},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3413221836090088},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2003398835659027},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.16185876727104187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1492571234703064},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13378864526748657},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08205020427703857},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1534891282","https://openalex.org/W2025116405","https://openalex.org/W2094322526","https://openalex.org/W2103048921","https://openalex.org/W2130875964","https://openalex.org/W2169020022","https://openalex.org/W2894564506","https://openalex.org/W2905110430","https://openalex.org/W3142570770","https://openalex.org/W3142790270","https://openalex.org/W6613305977","https://openalex.org/W6631158602","https://openalex.org/W6632112915","https://openalex.org/W6674016130","https://openalex.org/W6792599741","https://openalex.org/W6793127252"],"related_works":["https://openalex.org/W587735977","https://openalex.org/W1978142926","https://openalex.org/W3157395178","https://openalex.org/W2357256365","https://openalex.org/W184455116","https://openalex.org/W2028768252","https://openalex.org/W2371558776","https://openalex.org/W1991381172","https://openalex.org/W2140811728","https://openalex.org/W2988849960"],"abstract_inverted_index":{"Inspired":[0],"by":[1],"a":[2,13],"neuronal":[3],"architecture,":[4],"we":[5],"show":[6],"how":[7],"to":[8],"produce":[9],"dynamical":[10],"behaviors":[11],"in":[12,66],"special":[14],"kind":[15],"of":[16,30,70],"probabilistic":[17],"cellular":[18],"neural":[19,31],"network":[20],"system.":[21],"We":[22,45,56],"demonstrate":[23],"that":[24],"the":[25,37,51,58,68],"spatial":[26],"and":[27,40,53],"temporal":[28],"behavior":[29],"activity":[32],"undergoes":[33],"sudden":[34],"changes":[35],"if":[36],"connection":[38],"structure":[39],"noise":[41],"component":[42],"are":[43],"varied.":[44],"characterize":[46],"quantitatively":[47],"phase":[48],"transitions":[49],"using":[50,72],"activation":[52],"cluster":[54],"size.":[55],"indicate":[57],"potential":[59],"role":[60],"our":[61],"present":[62],"results":[63],"may":[64],"play":[65],"developing":[67],"theory":[69],"computation":[71],"non-convergent":[73],"neurodynamic":[74],"principles,":[75],"called":[76],"neurpercolation.":[77]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}