{"id":"https://openalex.org/W4281397325","doi":"https://doi.org/10.1088/2634-4386/ac724c","title":"Computational properties of multi-compartment LIF neurons with passive dendrites","display_name":"Computational properties of multi-compartment LIF neurons with passive dendrites","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4281397325","doi":"https://doi.org/10.1088/2634-4386/ac724c"},"language":"en","primary_location":{"id":"doi:10.1088/2634-4386/ac724c","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ac724c","pdf_url":null,"source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2634-4386/ac724c","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022641930","display_name":"Andreas St\u00f6ckel","orcid":"https://orcid.org/0000-0001-5965-4541"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Andreas St\u00f6ckel","raw_affiliation_strings":["Applied Brain Research, Waterloo, Canada","Centre for Theoretical Neuroscience, University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Applied Brain Research, Waterloo, Canada","institution_ids":[]},{"raw_affiliation_string":"Centre for Theoretical Neuroscience, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055630059","display_name":"Chris Eliasmith","orcid":"https://orcid.org/0000-0003-2933-0209"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chris Eliasmith","raw_affiliation_strings":["Applied Brain Research, Waterloo, Canada","Centre for Theoretical Neuroscience, University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Applied Brain Research, Waterloo, Canada","institution_ids":[]},{"raw_affiliation_string":"Centre for Theoretical Neuroscience, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022641930"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":{"value":2000,"currency":"GBP","value_usd":2453},"apc_paid":{"value":2000,"currency":"GBP","value_usd":2453},"fwci":0.8232,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70343092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":"2","first_page":"024011","last_page":"024011"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9997000098228455,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.836620032787323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6365673542022705},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5122836828231812},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.508817732334137},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4895847737789154},{"id":"https://openalex.org/keywords/universality","display_name":"Universality (dynamical systems)","score":0.48430171608924866},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.47799864411354065},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.43015462160110474},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4215604364871979},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3227381706237793},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.28888052701950073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2229389250278473},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18564540147781372},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16846942901611328},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09929996728897095},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.09035027027130127},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08686822652816772}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.836620032787323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365673542022705},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5122836828231812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.508817732334137},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4895847737789154},{"id":"https://openalex.org/C183992945","wikidata":"https://www.wikidata.org/wiki/Q2495574","display_name":"Universality (dynamical systems)","level":2,"score":0.48430171608924866},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.47799864411354065},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.43015462160110474},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4215604364871979},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3227381706237793},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.28888052701950073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2229389250278473},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18564540147781372},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16846942901611328},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09929996728897095},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.09035027027130127},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08686822652816772},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/2634-4386/ac724c","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ac724c","pdf_url":null,"source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/2634-4386/ac724c","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ac724c","pdf_url":null,"source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3506835647","display_name":null,"funder_award_id":"FA9550-17-1-0026","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G3990969240","display_name":null,"funder_award_id":"261453","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W23745746","https://openalex.org/W1522301498","https://openalex.org/W1596185512","https://openalex.org/W2016708835","https://openalex.org/W2054498032","https://openalex.org/W2062657255","https://openalex.org/W2069552454","https://openalex.org/W2082734621","https://openalex.org/W2115582366","https://openalex.org/W2125733184","https://openalex.org/W2125988384","https://openalex.org/W2130360162","https://openalex.org/W2137983211","https://openalex.org/W2146655366","https://openalex.org/W2159345227","https://openalex.org/W2164649534","https://openalex.org/W2595593680","https://openalex.org/W2604190365","https://openalex.org/W2766852671","https://openalex.org/W2769646558","https://openalex.org/W2942340749","https://openalex.org/W3090708110","https://openalex.org/W3094403118","https://openalex.org/W3101798601","https://openalex.org/W3166550029","https://openalex.org/W3169045410","https://openalex.org/W3189057580","https://openalex.org/W3193772866","https://openalex.org/W4212952892","https://openalex.org/W6631190155","https://openalex.org/W6635680086","https://openalex.org/W6667740332","https://openalex.org/W6735574090","https://openalex.org/W6783529134","https://openalex.org/W6796606877"],"related_works":["https://openalex.org/W3089892344","https://openalex.org/W2960220682","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W2885510266","https://openalex.org/W4288055417","https://openalex.org/W4287758233","https://openalex.org/W3136467750","https://openalex.org/W4281997648"],"abstract_inverted_index":{"Abstract":[0],"Mixed-signal":[1],"neuromorphic":[2,135],"computers":[3],"often":[4],"emulate":[5],"some":[6,94],"variant":[7],"of":[8,18,28,37,49,90,133],"the":[9,35,131,145,164],"LIF":[10,50],"neuron":[11,146],"model.":[12],"While,":[13],"in":[14,70,78,128],"theory,":[15],"two-layer":[16],"networks":[17,26,105],"these":[19,73],"neurons":[20,32,51,92,110],"are":[21,148],"universal":[22],"function":[23],"approximators,":[24],"single-layer":[25],"consisting":[27],"slightly":[29],"more":[30,40,122,152,161],"complex":[31],"can,":[33],"at":[34,96],"cost":[36],"universality,":[38],"be":[39,76],"efficient.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"discuss":[46],"a":[47,79,87],"family":[48],"with":[52,106,107],"passive":[53],"dendrites.":[54],"We":[55,84],"provide":[56],"rules":[57],"that":[58,86,140,159],"describe":[59],"how":[60,71],"input":[61],"channels":[62],"targeting":[63],"different":[64],"dendritic":[65],"compartments":[66,123],"interact,":[67],"and":[68,117,155],"test":[69],"far":[72],"interactions":[74],"can":[75,111],"harnessed":[77],"spiking":[80],"neural":[81],"network":[82],"context.":[83],"find":[85],"single":[88],"layer":[89],"two-compartment":[91],"approximates":[93],"functions":[95,113],"smaller":[97],"errors":[98],"than":[99],"similarly":[100],"sized":[101],"hidden-layer":[102],"networks.":[103],"Single-layer":[104],"three":[108],"compartment":[109],"approximate":[112],"such":[114],"as":[115],"XOR":[116],"four-quadrant":[118],"multiplication":[119],"well;":[120],"adding":[121],"only":[124,141],"offers":[125],"small":[126,142],"improvements":[127],"accuracy.":[129],"From":[130],"perspective":[132],"mixed-signal":[134],"systems,":[136],"our":[137],"results":[138],"suggest":[139],"modifications":[143],"to":[144,150],"circuit":[147],"necessary":[149],"construct":[151],"computationally":[153],"powerful":[154],"energy":[156],"efficient":[157],"systems":[158],"move":[160],"computation":[162],"into":[163],"dendritic,":[165],"analogue":[166],"domain.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
