{"id":"https://openalex.org/W1978714330","doi":"https://doi.org/10.1109/isit.2013.6620677","title":"Inferring neural connectivity via measured delay in directed information estimates","display_name":"Inferring neural connectivity via measured delay in directed information estimates","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1978714330","doi":"https://doi.org/10.1109/isit.2013.6620677","mag":"1978714330"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2013.6620677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","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/A5103089874","display_name":"Nima Soltani","orcid":"https://orcid.org/0000-0003-0592-0343"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nima Soltani","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA","[Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA]","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074116801","display_name":"Andrea Goldsmith","orcid":"https://orcid.org/0000-0001-5686-800X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea Goldsmith","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA","[Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA]","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.7911,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66119604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2503","last_page":"2507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9955000281333923,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.6995425224304199},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5358632206916809},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5132474899291992},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.48087194561958313},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4663984179496765},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45871666073799133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44401025772094727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43971937894821167},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43601691722869873},{"id":"https://openalex.org/keywords/transfer-entropy","display_name":"Transfer entropy","score":0.42575258016586304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32232725620269775},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.28057268261909485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995425224304199},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5358632206916809},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5132474899291992},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.48087194561958313},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4663984179496765},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45871666073799133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44401025772094727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43971937894821167},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43601691722869873},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.42575258016586304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32232725620269775},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.28057268261909485},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2013.6620677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1489262227","https://openalex.org/W2001123550","https://openalex.org/W2002746599","https://openalex.org/W2059715474","https://openalex.org/W2066009496","https://openalex.org/W2140911775","https://openalex.org/W2156939381","https://openalex.org/W2168614460","https://openalex.org/W2168779967","https://openalex.org/W2174375947","https://openalex.org/W2178225550","https://openalex.org/W6681130209"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W2105707930","https://openalex.org/W1966203994","https://openalex.org/W2150055352","https://openalex.org/W2356475741","https://openalex.org/W2075237332","https://openalex.org/W1993345826"],"abstract_inverted_index":{"Directed":[0],"information":[1,32,95],"between":[2],"two":[3],"neural":[4],"signals":[5],"has":[6],"previously":[7],"been":[8],"used":[9],"to":[10,21,35,42,66],"successfully":[11],"determine":[12],"if":[13],"there":[14,25],"is":[15],"a":[16,46,51,68,76],"synapse":[17],"connecting":[18],"one":[19],"neuron":[20],"the":[22,30,43,59,62],"other.":[23],"However,":[24],"are":[26],"situations":[27],"in":[28,82],"which":[29],"directed":[31,94],"method":[33,52,88],"leads":[34],"false":[36],"positives":[37],"for":[38,55],"detecting":[39],"connections":[40],"due":[41],"influence":[44],"of":[45,61],"third":[47],"neuron.":[48],"We":[49],"propose":[50],"that":[53],"accounts":[54],"these":[56],"cases":[57],"using":[58],"delay-profile":[60],"causally-conditioned":[63],"entropy":[64],"rate":[65],"find":[67],"measured":[69],"delay":[70,78],"range":[71],"and":[72],"its":[73],"intersection":[74],"with":[75],"connection-based":[77],"range.":[79],"Through":[80],"simulations":[81],"NEURON,":[83],"we":[84],"show":[85],"how":[86],"this":[87],"outperforms":[89],"connectivity":[90],"inference":[91],"based":[92],"on":[93],"alone.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
