{"id":"https://openalex.org/W2735352257","doi":"https://doi.org/10.1109/ijcnn.2017.7966335","title":"Synaptic efficacy mosaics and the impact of morphology","display_name":"Synaptic efficacy mosaics and the impact of morphology","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735352257","doi":"https://doi.org/10.1109/ijcnn.2017.7966335","mag":"2735352257"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966335","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":"conference-paper","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/A5029146098","display_name":"Nicolangelo Iannella","orcid":"https://orcid.org/0000-0002-1983-9071"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nicolangelo Iannella","raw_affiliation_strings":["School of Mathematical Sciences, University of Nottingham, Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112616507","display_name":"Thomas Launey","orcid":null},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thomas Launey","raw_affiliation_strings":["RIKEN, Brain Science Institute, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN, Brain Science Institute, Japan","institution_ids":["https://openalex.org/I2800939219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3792,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46534213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"3800","last_page":"3805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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/neuroscience","display_name":"Neuroscience","score":0.586689829826355},{"id":"https://openalex.org/keywords/synapse","display_name":"Synapse","score":0.5616351366043091},{"id":"https://openalex.org/keywords/dendrite","display_name":"Dendrite (mathematics)","score":0.5590627193450928},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.5200474262237549},{"id":"https://openalex.org/keywords/dendritic-spike","display_name":"Dendritic spike","score":0.5039612650871277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46087080240249634},{"id":"https://openalex.org/keywords/morphology","display_name":"Morphology (biology)","score":0.4242584705352783},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2757195234298706},{"id":"https://openalex.org/keywords/excitatory-postsynaptic-potential","display_name":"Excitatory postsynaptic potential","score":0.10330915451049805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0740288496017456}],"concepts":[{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.586689829826355},{"id":"https://openalex.org/C127445978","wikidata":"https://www.wikidata.org/wiki/Q187181","display_name":"Synapse","level":2,"score":0.5616351366043091},{"id":"https://openalex.org/C84248122","wikidata":"https://www.wikidata.org/wiki/Q5256671","display_name":"Dendrite (mathematics)","level":2,"score":0.5590627193450928},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.5200474262237549},{"id":"https://openalex.org/C50820595","wikidata":"https://www.wikidata.org/wiki/Q5256675","display_name":"Dendritic spike","level":4,"score":0.5039612650871277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46087080240249634},{"id":"https://openalex.org/C499950583","wikidata":"https://www.wikidata.org/wiki/Q183252","display_name":"Morphology (biology)","level":2,"score":0.4242584705352783},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2757195234298706},{"id":"https://openalex.org/C112592302","wikidata":"https://www.wikidata.org/wiki/Q1207387","display_name":"Excitatory postsynaptic potential","level":3,"score":0.10330915451049805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0740288496017456},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C17077164","wikidata":"https://www.wikidata.org/wiki/Q1185869","display_name":"Inhibitory postsynaptic potential","level":2,"score":0.0},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966335","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W631658601","https://openalex.org/W1486852018","https://openalex.org/W1488737327","https://openalex.org/W1498038217","https://openalex.org/W1584798050","https://openalex.org/W1969483526","https://openalex.org/W1973137648","https://openalex.org/W1978513489","https://openalex.org/W1979009696","https://openalex.org/W1984636010","https://openalex.org/W1985609870","https://openalex.org/W1986246844","https://openalex.org/W1990561503","https://openalex.org/W1994119944","https://openalex.org/W1997824093","https://openalex.org/W2000509838","https://openalex.org/W2004921550","https://openalex.org/W2007304845","https://openalex.org/W2009782005","https://openalex.org/W2026147435","https://openalex.org/W2047598284","https://openalex.org/W2048270115","https://openalex.org/W2055477723","https://openalex.org/W2059323984","https://openalex.org/W2075125238","https://openalex.org/W2088049359","https://openalex.org/W2092659369","https://openalex.org/W2105977945","https://openalex.org/W2108373345","https://openalex.org/W2108828672","https://openalex.org/W2110016065","https://openalex.org/W2110240734","https://openalex.org/W2113055360","https://openalex.org/W2116794899","https://openalex.org/W2128378732","https://openalex.org/W2134864228","https://openalex.org/W2147101007","https://openalex.org/W2151048213","https://openalex.org/W2157055126","https://openalex.org/W2160361560","https://openalex.org/W2168192377","https://openalex.org/W2169063061","https://openalex.org/W2185212694","https://openalex.org/W3211358631","https://openalex.org/W4214891130","https://openalex.org/W4301511718","https://openalex.org/W6803212393"],"related_works":["https://openalex.org/W2056426377","https://openalex.org/W2945440091","https://openalex.org/W2058032781","https://openalex.org/W2100317630","https://openalex.org/W3031673936","https://openalex.org/W1969473701","https://openalex.org/W2883824321","https://openalex.org/W1919609383","https://openalex.org/W4241265806","https://openalex.org/W3131514060"],"abstract_inverted_index":{"How":[0],"sensory":[1],"information":[2,98],"from":[3,14],"the":[4,15,21,32,36,47,52,56,71,91,94,100,121,141,157,165,176,179,185,188],"external":[5],"world":[6],"is":[7,162],"extracted,":[8],"learnt,":[9],"stored":[10],"within,":[11],"and":[12,23,31,60,76,84],"retrieved":[13],"brain":[16],"ultimately":[17,44],"relies":[18,45],"on":[19],"both":[20,70],"strengths":[22,122],"patterning":[24,147],"of":[25,35,55,74,102,123,133,159,178,187],"connections":[26,127],"converging":[27],"onto":[28],"neuronal":[29],"dendrites":[30],"nonlinear":[33,53],"nature":[34,54],"membrane.":[37],"The":[38],"underlying":[39],"processes":[40,61],"that":[41,62,93,107,115,138,174],"permit":[42],"this":[43,67,146],"upon":[46],"non":[48],"trivial":[49],"interplay":[50,68],"between":[51],"dendrite,":[57],"synapse":[58],"location,":[59],"mediate":[63],"synaptic":[64,103,126,135],"plasticity.":[65],"Collectively,":[66],"shapes":[69],"response":[72],"properties":[73],"neurons":[75],"their":[77],"behavior":[78],"within":[79],"a":[80,130,148],"neural":[81],"circuit.":[82],"Experimental":[83],"theoretical":[85],"studies":[86],"are":[87],"starting":[88],"to":[89],"support":[90],"notion":[92],"learning":[95],"process":[96],"encodes":[97],"through":[99],"formation":[101,158],"clusters":[104,137],"or":[105],"hotspots":[106],"share":[108],"similar":[109],"features.":[110],"We":[111,143],"have":[112,144,153],"previously":[113],"shown":[114,155],"spike":[116],"timing-dependent":[117],"plasticity":[118],"(STDP)":[119],"organizes":[120],"spatially":[124],"distributed":[125],"by":[128,164,169],"forming":[129],"tessellation":[131],"pattern":[132],"segregated":[134],"efficacy":[136],"effectively":[139],"partitions":[140],"dendrite.":[142],"called":[145],"dendritic":[149,180,189],"mosaic.":[150,190],"Furthermore,":[151],"we":[152,172],"recently":[154],"how":[156],"such":[160],"patterns":[161],"influenced":[163],"degree":[166],"balance":[167],"admitted":[168],"STDP.":[170],"Here,":[171],"report":[173],"altering":[175],"morphology":[177],"tree":[181],"can":[182],"strongly":[183],"influence":[184],"emergence":[186]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}