{"id":"https://openalex.org/W40402425","doi":null,"title":"Strategies for Optimizing Information Extraction from Cortical Recordings.","display_name":"Strategies for Optimizing Information Extraction from Cortical Recordings.","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W40402425","mag":"40402425"},"language":"en","primary_location":{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/84644","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/84644","pdf_url":"https://deepblue.lib.umich.edu/bitstreams/6822863b-f155-4235-a0dc-0443ce9902c9/download","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://deepblue.lib.umich.edu/bitstreams/6822863b-f155-4235-a0dc-0443ce9902c9/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083869749","display_name":"Nicholas B. Langhals","orcid":"https://orcid.org/0000-0003-0644-9020","observed_orcids":["https://orcid.org/0000-0003-0644-9020"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nicholas B. Langhals","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0644-9020","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5083869749"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.0006000000284984708,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":9.999999747378752e-05,"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/spike-sorting","display_name":"spike sorting","score":0.8790000081062317},{"id":"https://openalex.org/keywords/multichannel-electrophysiology","display_name":"multichannel electrophysiology","score":0.8450000286102295},{"id":"https://openalex.org/keywords/neuronal-morphology","display_name":"neuronal morphology","score":0.8330000042915344},{"id":"https://openalex.org/keywords/pedot","display_name":"PEDOT","score":0.7879999876022339},{"id":"https://openalex.org/keywords/electrode-impedance","display_name":"electrode impedance","score":0.7960000038146973},{"id":"https://openalex.org/keywords/primary-auditory-cortex","display_name":"primary auditory cortex","score":0.7080000042915344},{"id":"https://openalex.org/keywords/intracortical-recording","display_name":"intracortical recording","score":0.6010000109672546},{"id":"https://openalex.org/keywords/information-extraction","display_name":"information extraction","score":0.3230000138282776}],"concepts":[{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4751529395580292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46446719765663147},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3256533145904541},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2484729290008545},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.14571276307106018},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.14415740966796875}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/84644","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/84644","pdf_url":"https://deepblue.lib.umich.edu/bitstreams/6822863b-f155-4235-a0dc-0443ce9902c9/download","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.985.2560","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.985.2560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://deepblue.lib.umich.edu/bitstream/handle/2027.42/84644/langhals_1.pdf%3Bjsessionid%3D1EE5DF7136DEEF828245E9D9E6BC418B?sequence%3D1","raw_type":"text"},{"id":"mag:40402425","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/84644","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Deep Blue (University of Michigan)","raw_type":null}],"best_oa_location":{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/84644","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/84644","pdf_url":"https://deepblue.lib.umich.edu/bitstreams/6822863b-f155-4235-a0dc-0443ce9902c9/download","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309652","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291"},{"id":"https://openalex.org/F4320310016","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332431","display_name":"College of Engineering, Michigan State University","ror":"https://ror.org/05hs6h993"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W40402425.pdf","grobid_xml":"https://content.openalex.org/works/W40402425.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1485298311","https://openalex.org/W1765293499","https://openalex.org/W1766529490","https://openalex.org/W1792154407","https://openalex.org/W1904639934","https://openalex.org/W1964380577","https://openalex.org/W1968682372","https://openalex.org/W1975155442","https://openalex.org/W1978562671","https://openalex.org/W1990368529","https://openalex.org/W1990930019","https://openalex.org/W1991711352","https://openalex.org/W2001477745","https://openalex.org/W2003397788","https://openalex.org/W2007495909","https://openalex.org/W2018371812","https://openalex.org/W2020733506","https://openalex.org/W2028866298","https://openalex.org/W2043103378","https://openalex.org/W2045747400","https://openalex.org/W2053660789","https://openalex.org/W2055080460","https://openalex.org/W2057005089","https://openalex.org/W2058623277","https://openalex.org/W2063271895","https://openalex.org/W2092449645","https://openalex.org/W2093262630","https://openalex.org/W2101656718","https://openalex.org/W2103032521","https://openalex.org/W2113076747","https://openalex.org/W2113147953","https://openalex.org/W2113853842","https://openalex.org/W2114747787","https://openalex.org/W2116324502","https://openalex.org/W2123018191","https://openalex.org/W2126203685","https://openalex.org/W2135762586","https://openalex.org/W2141361751","https://openalex.org/W2145177855","https://openalex.org/W2146684569","https://openalex.org/W2162098123","https://openalex.org/W2162403802","https://openalex.org/W2162623915","https://openalex.org/W2166204573","https://openalex.org/W2168512214","https://openalex.org/W2168814495","https://openalex.org/W2169866873","https://openalex.org/W2171406132","https://openalex.org/W2172139367","https://openalex.org/W2496999571"],"related_works":["https://openalex.org/W4200572042","https://openalex.org/W2128080974","https://openalex.org/W4409133188","https://openalex.org/W2124872530","https://openalex.org/W6927292192","https://openalex.org/W2128304615","https://openalex.org/W2186584449","https://openalex.org/W2544202752","https://openalex.org/W2089256814","https://openalex.org/W2556223661"],"abstract_inverted_index":{"Penetrating":[0],"neural":[1,168,209],"probe":[2,128,297,308],"technologies":[3],"provide":[4,242],"researchers":[5],"with":[6,53,176,277,320],"the":[7,18,28,31,47,97,125,140,200,223,246,252,255,258,264,270,281,300,335],"capability":[8],"to":[9,61,120,135,157,178,207,222,241,268],"stimulate":[10],"and":[11,14,76,81,100,114,183,188,293],"record":[12],"chemical":[13],"electrical":[15],"signals":[16],"in":[17,37,251,315],"brain.":[19],"While":[20],"present":[21],"technology":[22,34,65,309],"has":[23,173,185],"yielded":[24],"significant":[25],"insight":[26],"into":[27],"function":[29],"of":[30,40,49,55,96,124,163,237,248,266,272,311,334,342],"brain,":[32],"this":[33,63,327],"is":[35],"limited":[36],"a":[38,205,306,316],"number":[39],"ways.":[41],"Although":[42],"recent":[43],"breakthroughs":[44],"have":[45,108,262,304,331],"enabled":[46],"fabrication":[48],"three":[50,126],"dimensional":[51,127],"probes":[52],"hundreds":[54],"recording":[56,137,275,283],"sites,":[57],"information":[58,117,244],"processing":[59,80,118],"strategies":[60,119],"utilize":[62],"new":[64,328],"are":[66,104],"currently":[67],"unrealized.":[68],"Moreover,":[69],"increasing":[70],"channel":[71,167],"numbers":[72],"creates":[73],"larger":[74],"devices":[75],"concurrently":[77],"highlights":[78],"data":[79,164],"classification":[82],"problems.":[83],"Analyzing":[84],"more":[85,90,158,289],"channels":[86],"not":[87],"only":[88],"takes":[89],"time,":[91],"but":[92],"also":[93],"precludes":[94],"many":[95],"user-directed":[98],"sorting":[99,149],"analysis":[101],"schemes":[102],"that":[103],"commonly":[105],"used.":[106],"We":[107],"addressed":[109],"these":[110],"issues":[111],"by":[112,211],"developing":[113],"testing":[115],"novel":[116],"take":[121],"full":[122],"advantage":[123],"as":[129,131],"well":[130],"evaluating":[132],"site":[133],"modifications":[134],"revitalize":[136],"sites.":[138],"In":[139,199,257,299],"first":[141,336],"study,":[142,202,260,302],"we":[143,203,261,303,330],"developed":[144,204],"an":[145],"efficient,":[146],"automated":[147],"spike":[148],"package":[150],"using":[151,230],"MATLAB":[152],"software":[153],"incorporating":[154],"various":[155],"techniques":[156],"efficiently":[159],"analyze":[160],"large":[161],"volumes":[162],"from":[165,233],"high":[166],"probes.":[169],"Overall":[170],"algorithm":[171,191],"performance":[172,184],"been":[174,186],"evaluated":[175],"respect":[177],"current":[179],"commercially":[180],"available":[181],"alternatives":[182],"comparable":[187],"objective.":[189],"The":[190],"will":[192],"be":[193],"provided":[194],"online":[195],"for":[196],"free":[197],"distribution.":[198],"second":[201],"method":[206],"determine":[208],"morphology":[210,247],"utilizing":[212],"multichannel":[213],"simultaneous":[214],"electrophysiological":[215,340],"recordings.":[216],"Our":[217],"technique":[218],"identifies":[219],"dendritic":[220],"contributions":[221],"potential":[224],"recorded":[225,249],"on":[226],"distant":[227],"electrode":[228,286,322],"sites":[229,287,323],"event-triggered":[231],"averaging":[232],"known":[234],"firing":[235],"times":[236],"isolated":[238],"unit":[239],"potentials":[240],"additional":[243],"about":[245],"neurons":[250],"space":[253],"around":[254],"array.":[256],"third":[259],"investigated":[263],"use":[265],"PEDOT":[267],"lower":[269],"impedance":[271],"small,":[273],"gold":[274],"electrodes":[276],"initial":[278],"impedances":[279],"outside":[280],"effective":[282],"range.":[284],"Smaller":[285],"enable":[288],"densely":[290],"packed":[291],"arrays":[292],"promote":[294],"smaller":[295],"overall":[296],"designs.":[298],"final":[301],"validated":[305],"3D":[307,338],"consisting":[310],"16":[312],"silicon":[313],"shanks":[314],"4x4":[317],"grid":[318],"arrangement":[319],"four":[321],"per":[324],"shank.":[325],"Using":[326],"technology,":[329],"generated":[332],"one":[333],"simultaneous,":[337],"intra-cortical,":[339],"maps":[341],"primary":[343],"auditory":[344],"cortex":[345],"responses.":[346]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}
