{"id":"https://openalex.org/W2735418562","doi":"https://doi.org/10.1109/ijcnn.2017.7965956","title":"A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence","display_name":"A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735418562","doi":"https://doi.org/10.1109/ijcnn.2017.7965956","mag":"2735418562"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7965956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7965956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5070827124","display_name":"Ernest Fokou\u00e9","orcid":"https://orcid.org/0000-0002-0748-9166"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ernest Fokoue","raw_affiliation_strings":["NanoComputing Rosearch Lab, Rochester Institute of Technology"],"affiliations":[{"raw_affiliation_string":"NanoComputing Rosearch Lab, Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039024181","display_name":"Lakshmi Kavya Ravi","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lakshmi Ravi","raw_affiliation_strings":["NanoComputing Rosearch Lab, Rochester Institute of Technology"],"affiliations":[{"raw_affiliation_string":"NanoComputing Rosearch Lab, Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067236813","display_name":"Dhireesha Kudithipudi","orcid":"https://orcid.org/0000-0003-4462-5224"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dhireesha Kudithipudi","raw_affiliation_strings":["NanoComputing Rosearch Lab, Rochester Institute of Technology"],"affiliations":[{"raw_affiliation_string":"NanoComputing Rosearch Lab, Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070827124"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08322708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"962","last_page":"967"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9975000023841858,"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":0.9975000023841858,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9549999833106995,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/preprocessor","display_name":"Preprocessor","score":0.7254870533943176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7117781043052673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6407670974731445},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.611327588558197},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.586273729801178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5282025933265686},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5244529247283936},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.49536168575286865},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.4669032692909241},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45953866839408875},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4360220432281494},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4166557192802429},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19408974051475525}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7254870533943176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117781043052673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6407670974731445},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.611327588558197},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.586273729801178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5282025933265686},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5244529247283936},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.49536168575286865},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.4669032692909241},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45953866839408875},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4360220432281494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4166557192802429},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19408974051475525},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7965956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7965956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316896","display_name":"Seagate Technology","ror":"https://ror.org/04p1xtv71"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1490454746","https://openalex.org/W1574944015","https://openalex.org/W1577620534","https://openalex.org/W1634005169","https://openalex.org/W2106069155","https://openalex.org/W2189469222","https://openalex.org/W2191950414","https://openalex.org/W2262866646","https://openalex.org/W2318201794","https://openalex.org/W2572421196","https://openalex.org/W2964284952","https://openalex.org/W3104162526","https://openalex.org/W4297799865","https://openalex.org/W6634501962"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"Hierarchical":[0],"Temporal":[1],"Memory":[2],"is":[3,21,46],"a":[4,56,76,100],"machine":[5],"learning":[6,65,91],"algorithm":[7,20],"for":[8,37],"spatio-temporal":[9],"information":[10],"processing.":[11],"One":[12],"of":[13,42,60,95],"the":[14,22,43,61,69,82,93,96],"key":[15],"functional":[16],"units":[17],"in":[18,32,48,75,81],"this":[19,52],"spatial":[23,44,62,77,97],"pooler,":[24],"which":[25],"has":[26,85],"been":[27,86],"demonstrated":[28],"to":[29],"be":[30],"efficient":[31],"classification,":[33],"dimensionality":[34],"reduction":[35],"and":[36,72],"preprocessing":[38],"non-spatial":[39],"inputs.":[40],"Formalization":[41],"pooler":[45,78,98],"proposed":[47],"recent":[49],"literature.":[50],"In":[51],"work,":[53],"we":[54],"present":[55],"principled":[57],"theoretical":[58],"formulation":[59],"poolers":[63],"underlying":[64],"scheme.":[66],"Constraints":[67],"from":[68],"active":[70],"connected":[71],"emmeshed":[73],"columns":[74],"are":[79],"included":[80],"analysis.":[83],"It":[84],"observed":[87],"that":[88],"locally":[89],"adaptive":[90],"enhanced":[92],"performance":[94],"as":[99],"feature":[101],"selector.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
