{"id":"https://openalex.org/W3087310269","doi":"https://doi.org/10.1162/neco_a_01321","title":"Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling","display_name":"Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling","publication_year":2020,"publication_date":"2020-09-18","ids":{"openalex":"https://openalex.org/W3087310269","doi":"https://doi.org/10.1162/neco_a_01321","mag":"3087310269","pmid":"https://pubmed.ncbi.nlm.nih.gov/32946712"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_01321","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_01321","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101909915","display_name":"Ali Yousefi","orcid":"https://orcid.org/0000-0002-2405-9934"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ali Yousefi","raw_affiliation_strings":["Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA 01609, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA 01609, U.S.A","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006217709","display_name":"Yalda Amidi","orcid":"https://orcid.org/0000-0001-6842-0034"},"institutions":[{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["IR","US"],"is_corresponding":true,"raw_author_name":"Yalda Amidi","raw_affiliation_strings":["Department of Neurological Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, U.S.A., and Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Neurological Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, U.S.A., and Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran","institution_ids":["https://openalex.org/I170013655","https://openalex.org/I136199984","https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589138","display_name":"Behzad Nazari","orcid":"https://orcid.org/0000-0001-7525-5014"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Behzad Nazari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004106989","display_name":"Uri T. Eden","orcid":"https://orcid.org/0000-0002-2058-3691"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Uri. T. Eden","raw_affiliation_strings":["Department of Mathematics and Statistics, Boston University, Boston, MA 02215, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Boston University, Boston, MA 02215, U.S.A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004106989","https://openalex.org/A5006217709","https://openalex.org/A5101589138","https://openalex.org/A5101909915"],"corresponding_institution_ids":["https://openalex.org/I136199984","https://openalex.org/I170013655","https://openalex.org/I4210087915"],"apc_list":null,"apc_paid":null,"fwci":2.9154,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91645705,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"32","issue":"11","first_page":"2145","last_page":"2186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9660999774932861,"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/T13187","display_name":"Diffusion and Search Dynamics","score":0.9377999901771545,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.6231110692024231},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"Goodness of fit","score":0.5824330449104309},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5626538991928101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5506958365440369},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5434951186180115},{"id":"https://openalex.org/keywords/spike-sorting","display_name":"Spike sorting","score":0.5273590683937073},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5073456168174744},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.50639808177948},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5052383542060852},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4573099613189697},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.420171320438385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36809754371643066},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3578307032585144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3498840928077698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31689220666885376},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.2797568142414093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19801509380340576},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15705439448356628}],"concepts":[{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.6231110692024231},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.5824330449104309},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5626538991928101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5506958365440369},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5434951186180115},{"id":"https://openalex.org/C2777613131","wikidata":"https://www.wikidata.org/wiki/Q2003571","display_name":"Spike sorting","level":3,"score":0.5273590683937073},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5073456168174744},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.50639808177948},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5052383542060852},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4573099613189697},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.420171320438385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36809754371643066},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3578307032585144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3498840928077698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31689220666885376},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.2797568142414093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19801509380340576},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15705439448356628},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_01321","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_01321","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:32946712","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32946712","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1530897502","https://openalex.org/W1540935623","https://openalex.org/W1582019318","https://openalex.org/W1785182014","https://openalex.org/W1877687928","https://openalex.org/W1930031410","https://openalex.org/W1972571116","https://openalex.org/W1985693763","https://openalex.org/W1990775604","https://openalex.org/W1995565517","https://openalex.org/W1998404609","https://openalex.org/W2004383711","https://openalex.org/W2007558434","https://openalex.org/W2009789458","https://openalex.org/W2011557461","https://openalex.org/W2013200887","https://openalex.org/W2014833599","https://openalex.org/W2027390033","https://openalex.org/W2028514896","https://openalex.org/W2032524925","https://openalex.org/W2042572314","https://openalex.org/W2045668838","https://openalex.org/W2047047738","https://openalex.org/W2049938661","https://openalex.org/W2098541833","https://openalex.org/W2110242299","https://openalex.org/W2116341396","https://openalex.org/W2143834603","https://openalex.org/W2280709748","https://openalex.org/W2510188371","https://openalex.org/W2950731900","https://openalex.org/W4233882242","https://openalex.org/W4255459567"],"related_works":["https://openalex.org/W2889678141","https://openalex.org/W3210190780","https://openalex.org/W3166235535","https://openalex.org/W1968361507","https://openalex.org/W4211069933","https://openalex.org/W2808797200","https://openalex.org/W2800463536","https://openalex.org/W2742276804","https://openalex.org/W2537515543","https://openalex.org/W41503786"],"abstract_inverted_index":{"Marked":[0],"point":[1,69],"process":[2,70],"models":[3,25,46,71],"have":[4,26],"recently":[5],"been":[6,27],"used":[7],"to":[8,32,51,53,143,184,188],"capture":[9],"the":[10,35,119,133,163,192,216],"coding":[11],"properties":[12,37,164],"of":[13,38,43,84,91,112,121,165,171,199],"neural":[14,39],"populations":[15,40],"from":[16],"multiunit":[17],"electrophysiological":[18],"recordings":[19],"without":[20],"spike":[21,122],"sorting.":[22],"These":[23,139],"clusterless":[24],"shown":[28],"in":[29,104,115,132,152,191,205,215],"some":[30],"instances":[31],"better":[33,54],"describe":[34],"firing":[36],"than":[41],"collections":[42],"receptive":[44],"field":[45],"for":[47,67,77,158,210],"sorted":[48],"neurons":[49],"and":[50,118,136,147,168,202],"lead":[52],"decoding":[55],"results.":[56],"To":[57],"assess":[58],"their":[59,186],"quality,":[60],"we":[61,108],"previously":[62],"proposed":[63],"a":[64,78,82,88,98,110,206],"goodness-of-fit":[65],"technique":[66],"marked":[68],"based":[72],"on":[73],"time":[74,117,137],"rescaling,":[75],"which":[76,125,154],"correct":[79],"model":[80,172],"produces":[81],"set":[83,111],"uniform":[85],"samples":[86,151],"over":[87,96],"random":[89],"region":[90,99],"space.":[92],"However,":[93],"assessing":[94],"uniformity":[95,159,182,203],"such":[97],"can":[100],"be":[101],"challenging,":[102],"especially":[103],"high":[105],"dimensions.":[106],"Here,":[107],"propose":[109],"new":[113,134],"transformations":[114,140,167,201],"both":[116],"space":[120],"waveform":[123],"features,":[124],"generate":[126],"events":[127],"that":[128],"are":[129,141,155,213],"uniformly":[130,149],"distributed":[131,150],"mark":[135,145],"spaces.":[138],"scalable":[142],"multidimensional":[144],"spaces":[146],"provide":[148],"hypercubes,":[153],"well":[156],"suited":[157],"tests.":[160],"We":[161,178,195],"discuss":[162],"these":[166,200],"demonstrate":[169,196],"aspects":[170],"fit":[173],"captured":[174],"by":[175],"each":[176,211],"transformation.":[177],"also":[179],"compare":[180],"multiple":[181],"tests":[183,204],"determine":[185],"power":[187],"identify":[189],"lack-of-fit":[190],"rescaled":[193],"data.":[194],"an":[197],"application":[198],"simulation":[207],"study.":[208],"Proofs":[209],"transformation":[212],"provided":[214],"appendix.":[217]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-23T05:10:03.516525","created_date":"2025-10-10T00:00:00"}
