{"id":"https://openalex.org/W2516042576","doi":"https://doi.org/10.1109/iscas.2016.7539107","title":"Morphological learning in multicompartment neuron model with binary synapses","display_name":"Morphological learning in multicompartment neuron model with binary synapses","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2516042576","doi":"https://doi.org/10.1109/iscas.2016.7539107","mag":"2516042576"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2016.7539107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7539107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5080149173","display_name":"Shaista Hussain","orcid":"https://orcid.org/0000-0003-2004-2681"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Shaista Hussain","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002380437","display_name":"Arindam Basu","orcid":"https://orcid.org/0000-0003-1035-8770"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Arindam Basu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080149173"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.9371,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78101304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9998000264167786,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7733612060546875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.720805287361145},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.61553955078125},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.6121948957443237},{"id":"https://openalex.org/keywords/dendrite","display_name":"Dendrite (mathematics)","score":0.5350618958473206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5244665145874023},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5216624736785889},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5098694562911987},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4633387327194214},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.4470489025115967},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.42012789845466614},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4116131365299225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.388461709022522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3035188913345337},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.24053913354873657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11249995231628418},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09599584341049194}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7733612060546875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720805287361145},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.61553955078125},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.6121948957443237},{"id":"https://openalex.org/C84248122","wikidata":"https://www.wikidata.org/wiki/Q5256671","display_name":"Dendrite (mathematics)","level":2,"score":0.5350618958473206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5244665145874023},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5216624736785889},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5098694562911987},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4633387327194214},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.4470489025115967},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.42012789845466614},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4116131365299225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.388461709022522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3035188913345337},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.24053913354873657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11249995231628418},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09599584341049194},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2016.7539107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7539107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1525803622","https://openalex.org/W1559348600","https://openalex.org/W1565513421","https://openalex.org/W1965273786","https://openalex.org/W2001133891","https://openalex.org/W2004159737","https://openalex.org/W2076372824","https://openalex.org/W2092581899","https://openalex.org/W2110016065","https://openalex.org/W2115831804","https://openalex.org/W2132870234","https://openalex.org/W2157185220","https://openalex.org/W2408153095","https://openalex.org/W3211358631"],"related_works":["https://openalex.org/W2576162568","https://openalex.org/W1971963245","https://openalex.org/W4298854913","https://openalex.org/W2951472016","https://openalex.org/W2080333131","https://openalex.org/W1990435626","https://openalex.org/W2161072209","https://openalex.org/W2516042576","https://openalex.org/W4288074224","https://openalex.org/W4320008981"],"abstract_inverted_index":{"There":[0],"is":[1,61,85],"a":[2,32,62,88],"vast":[3],"amount":[4],"of":[5,11,19,82,146],"neurobiological":[6],"evidence":[7],"supporting":[8],"the":[9,20,68,77,83,121,130,140],"role":[10],"dendritic":[12,46,78],"processing":[13,42],"in":[14,44],"neural":[15],"computation.":[16],"However,":[17],"most":[18],"neuromorphic":[21],"chips":[22],"designed":[23],"have":[24],"overlooked":[25],"these":[26],"research":[27],"findings.":[28],"Here,":[29],"we":[30],"present":[31],"neuron":[33],"model":[34,84,91,110],"with":[35,87,95,137],"multiple":[36,45],"nonlinear":[37],"spatially":[38],"sensitive":[39],"dendrites.":[40],"Location-dependent":[41],"occurs":[43],"compartments,":[47],"where":[48],"sparse":[49],"binary":[50],"synapses":[51],"are":[52],"formed":[53],"by":[54,67,144],"utilizing":[55],"structural":[56],"plasticity":[57],"rule.":[58],"This":[59],"rule":[60,71],"correlation-based":[63],"learning":[64,70],"scheme":[65,123],"inspired":[66],"Tempotron":[69,131,141],"to":[72],"form":[73],"synaptic":[74],"connections":[75],"on":[76],"compartments.":[79],"The":[80,102],"performance":[81],"compared":[86],"lumped":[89,122],"dendrite":[90],"as":[92,94],"well":[93],"other":[96],"classifiers":[97],"for":[98],"spatiotemporal":[99],"spike":[100],"patterns.":[101],"results":[103],"indicate":[104],"that":[105],"our":[106,147],"biologically":[107],"realistic":[108],"multicompartment":[109],"using":[111,132],"low":[112],"resolution":[113,134],"weights":[114,139],"achieves":[115],"about":[116,125],"4-5%":[117],"higher":[118],"accuracy":[119,128,142],"than":[120,129],"and":[124],"2%":[126],"less":[127],"high":[133],"weights,":[135],"while":[136],"4-bit":[138],"drops":[143],"5%":[145],"proposed":[148],"method.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
