{"id":"https://openalex.org/W4401694065","doi":"https://doi.org/10.1109/isit57864.2024.10619646","title":"Message- Relevant Dimension Reduction of Neural Populations","display_name":"Message- Relevant Dimension Reduction of Neural Populations","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4401694065","doi":"https://doi.org/10.1109/isit57864.2024.10619646"},"language":"en","primary_location":{"id":"doi:10.1109/isit57864.2024.10619646","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit57864.2024.10619646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Information Theory (ISIT)","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/A5073630041","display_name":"Amanda Merkley","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amanda Merkley","raw_affiliation_strings":["Carnegie Mellon University,Department of Electrical &#x0026; Computer Engineering,Pittsburgh,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Department of Electrical &#x0026; Computer Engineering,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054746425","display_name":"Pulkit Grover","orcid":"https://orcid.org/0000-0001-7651-7776"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pulkit Grover","raw_affiliation_strings":["Carnegie Mellon University,Department of Electrical &#x0026; Computer Engineering,Pittsburgh,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Department of Electrical &#x0026; Computer Engineering,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100029925","display_name":"Alice Y. Nam","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alice Y. Nam","raw_affiliation_strings":["Carnegie Mellon University,Department of Biological Sciences,Pittsburgh,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Department of Biological Sciences,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007148840","display_name":"Y. Kate Hong","orcid":"https://orcid.org/0000-0001-5810-8266"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Kate Hong","raw_affiliation_strings":["Carnegie Mellon University,Department of Biological Sciences,Pittsburgh,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Department of Biological Sciences,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3055,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63728398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"262","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.977400004863739,"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":0.977400004863739,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6720797419548035},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6324595212936401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6127632856369019},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6065378189086914},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4350908100605011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33608120679855347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1883382797241211}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6720797419548035},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6324595212936401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127632856369019},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6065378189086914},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4350908100605011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33608120679855347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1883382797241211},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/isit57864.2024.10619646","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit57864.2024.10619646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1636081627","https://openalex.org/W1954127107","https://openalex.org/W1966089218","https://openalex.org/W2017539895","https://openalex.org/W2018121958","https://openalex.org/W2030587315","https://openalex.org/W2037843057","https://openalex.org/W2087185095","https://openalex.org/W2092939357","https://openalex.org/W2125290066","https://openalex.org/W2143139396","https://openalex.org/W2166446427","https://openalex.org/W2168614460","https://openalex.org/W2258058815","https://openalex.org/W2337492206","https://openalex.org/W2600867135","https://openalex.org/W2793357436","https://openalex.org/W2887773909","https://openalex.org/W2891808944","https://openalex.org/W2892147384","https://openalex.org/W2951777958","https://openalex.org/W2963819344","https://openalex.org/W2975884534","https://openalex.org/W2979179438","https://openalex.org/W3014863253","https://openalex.org/W3016796767","https://openalex.org/W3080814453","https://openalex.org/W3081422453","https://openalex.org/W3090217273","https://openalex.org/W3148782361","https://openalex.org/W3208538415","https://openalex.org/W4212863985","https://openalex.org/W4233210169","https://openalex.org/W4294334391"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2995475466","https://openalex.org/W2356785732","https://openalex.org/W4239033281","https://openalex.org/W4380789568","https://openalex.org/W3105745662","https://openalex.org/W4210430843","https://openalex.org/W4379523021","https://openalex.org/W2146824712","https://openalex.org/W4323241237"],"abstract_inverted_index":{"Quantifying":[0],"relevant":[1],"interactions":[2],"between":[3,89,160],"neural":[4,15,61,115,129],"populations":[5,130],"is":[6],"a":[7,29,70,109,132,157],"prominent":[8],"question":[9],"in":[10,25,41,131,139],"the":[11,26,47,90,94,106,144,161],"analysis":[12,58],"of":[13,28,50,59,108,135,156],"high-dimensional":[14,164],"recordings.":[16],"However,":[17],"existing":[18],"dimension":[19,73],"re-duction":[20],"methods":[21],"often":[22],"discuss":[23],"communication":[24],"absence":[27],"formal":[30,48],"framework,":[31],"while":[32],"frameworks":[33],"proposed":[34],"to":[35,103,117,123],"address":[36],"this":[37,64],"gap":[38],"are":[39],"impractical":[40],"data":[42,92],"analysis.":[43],"This":[44],"work":[45],"bridges":[46],"framework":[49],"<tex":[51,99,146],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[52,100,147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$M$</tex>":[53,101,148],"-Information":[54],"Flow":[55],"with":[56],"practical":[57],"real":[60],"data.":[62],"To":[63],"end,":[65],"we":[66,125,151],"propose":[67],"Iterative":[68],"Regression,":[69],"message-dependent":[71],"linear":[72],"reduction":[74],"technique":[75],"that":[76,83,143],"iteratively":[77],"finds":[78],"an":[79],"orthonormal":[80],"basis":[81,85],"such":[82],"each":[84],"vector":[86],"maximizes":[87],"correlation":[88],"projected":[91],"and":[93,141],"message.":[95],"We":[96,119],"then":[97],"define'":[98],"-forwarding'":[102],"formally":[104],"capture":[105],"notion":[107],"message":[110],"being":[111],"forwarded":[112],"from":[113,127],"one":[114],"population":[116],"another.":[118],"apply":[120],"our":[121],"methodology":[122],"recordings":[124],"collected":[126],"two":[128,162],"simplified":[133],"model":[134],"whisker-based":[136],"sensory":[137],"detection":[138],"mice,":[140],"show":[142],"low-dimensional":[145],"-forwarding":[149],"structure":[150,159],"infer":[152],"supports":[153],"biological":[154],"evidence":[155],"similar":[158],"original,":[163],"populations.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
