{"id":"https://openalex.org/W2895657148","doi":"https://doi.org/10.1109/jssc.2018.2870555","title":"Sub- $\\mu$ Vrms-Noise Sub- $\\mu$ W/Channel ADC-Direct Neural Recording With 200-mV/ms Transient Recovery Through Predictive Digital Autoranging","display_name":"Sub- $\\mu$ Vrms-Noise Sub- $\\mu$ W/Channel ADC-Direct Neural Recording With 200-mV/ms Transient Recovery Through Predictive Digital Autoranging","publication_year":2018,"publication_date":"2018-10-03","ids":{"openalex":"https://openalex.org/W2895657148","doi":"https://doi.org/10.1109/jssc.2018.2870555","mag":"2895657148"},"language":"en","primary_location":{"id":"doi:10.1109/jssc.2018.2870555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2018.2870555","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-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/A5100741247","display_name":"Chul Kim","orcid":"https://orcid.org/0000-0002-3882-6022"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chul Kim","raw_affiliation_strings":["Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3882-6022","affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062849115","display_name":"Siddharth Joshi","orcid":"https://orcid.org/0000-0002-9201-9678"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siddharth Joshi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-9201-9678","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020955216","display_name":"Hristos Courellis","orcid":"https://orcid.org/0000-0001-5963-679X"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hristos Courellis","raw_affiliation_strings":["Medical Scientist Training Program, University of California at Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Scientist Training Program, University of California at Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384651","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-8955-3530"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8955-3530","affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081532552","display_name":"Cory T. Miller","orcid":"https://orcid.org/0000-0001-8345-2720"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cory Miller","raw_affiliation_strings":["Department of Psychology, University of California at San Diego, La Jolla, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of California at San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059013717","display_name":"Gert Cauwenberghs","orcid":"https://orcid.org/0000-0002-3166-5529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gert Cauwenberghs","raw_affiliation_strings":["Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3166-5529","affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":3.3137,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.92978348,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"53","issue":"11","first_page":"3101","last_page":"3110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9994999766349792,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9993000030517578,"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/dynamic-range","display_name":"Dynamic range","score":0.6026308536529541},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.5607943534851074},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.506683886051178},{"id":"https://openalex.org/keywords/integrator","display_name":"Integrator","score":0.5002009868621826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4267963171005249},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.39498740434646606},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.39373281598091125},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3687201738357544},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3453480303287506},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.2560814917087555},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2252516746520996},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14596346020698547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14297696948051453}],"concepts":[{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.6026308536529541},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.5607943534851074},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.506683886051178},{"id":"https://openalex.org/C79518650","wikidata":"https://www.wikidata.org/wiki/Q2081431","display_name":"Integrator","level":3,"score":0.5002009868621826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4267963171005249},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.39498740434646606},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.39373281598091125},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3687201738357544},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3453480303287506},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.2560814917087555},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2252516746520996},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14596346020698547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14297696948051453},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jssc.2018.2870555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2018.2870555","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7900000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308590","display_name":"University of California","ror":"https://ror.org/00pjdza24"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W605564925","https://openalex.org/W1964354844","https://openalex.org/W1967356008","https://openalex.org/W1982656162","https://openalex.org/W1992618885","https://openalex.org/W2003444784","https://openalex.org/W2071441011","https://openalex.org/W2090871552","https://openalex.org/W2122982148","https://openalex.org/W2159318368","https://openalex.org/W2417486445","https://openalex.org/W2505594344","https://openalex.org/W2560959031","https://openalex.org/W2742939082","https://openalex.org/W2767011766","https://openalex.org/W2791112682","https://openalex.org/W2791636782"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W4206637278","https://openalex.org/W2157118673","https://openalex.org/W2542642610","https://openalex.org/W1511153161","https://openalex.org/W2128615339","https://openalex.org/W2163747086","https://openalex.org/W3152606410","https://openalex.org/W1530052049","https://openalex.org/W2995582362"],"abstract_inverted_index":{"Integrated":[0],"recording":[1,51,85,128,140,192,216],"of":[2,150,157,166,171,191,240],"neural":[3,50,127,139,187],"electrical":[4],"potentials":[5,196,238],"from":[6,66,201,224],"the":[7,97,103,115,120,151,172,186],"brain":[8,218],"poses":[9],"great":[10],"challenges":[11],"due":[12],"to":[13,18,39,68,102,133,213],"stringent":[14,34],"dynamic":[15,58,111],"range":[16,59],"requirements":[17],"resolve":[19],"small-signal":[20],"amplitudes":[21],"buried":[22],"in":[23,79,114,126,233],"noise":[24,65,146],"amidst":[25],"large":[26],"artifact":[27],"and":[28,36,60,75,110,155,159],"stimulation":[29],"transients,":[30],"as":[31,33,197,199],"well":[32,198],"power":[35,73,162],"volume":[37],"constraints":[38],"enable":[40],"minimally":[41],"invasive":[42],"untethered":[43],"operation.":[44,184],"Here,":[45],"we":[46],"present":[47],"a":[48,80,88,145,160],"16-channel":[49],"system-on-chip":[52],"with":[53,96,144],"greater":[54],"than":[55,62],"90-dB":[56],"input":[57],"less":[61],"1-\u03bcVrms":[63],"input-referred":[64],"dc":[67],"500":[69],"Hz,":[70],"at":[71],"0.8-\u03bcW":[72],"consumption,":[74],"0.024-mm2area":[76],"per":[77],"channel":[78,86],"65-nm":[81],"CMOS":[82],"process.":[83],"Each":[84],"features":[87],"hybrid":[89],"analog-digital":[90],"second-order":[91],"oversampling":[92],"analog-to-digital":[93],"converter":[94],"(ADC),":[95],"biopotential":[98],"signal":[99,134],"coupling":[100],"directly":[101],"second":[104],"integrator":[105],"for":[106,122,217],"high":[107],"conversion":[108],"gain":[109],"offset":[112],"subtraction":[113],"digital":[116,169],"domain.":[117],"This":[118],"bypasses":[119],"need":[121],"high-pass":[123],"filtering":[124],"pre-amplification":[125],"systems,":[129],"which":[130],"often":[131],"leads":[132],"distortion.":[135],"The":[136],"integrated":[137],"ADC-direct":[138],"offers":[141],"record":[142],"figureof-merit":[143],"efficiency":[147,163],"factor":[148,164],"(NEF)":[149],"combined":[152],"front":[153],"end":[154],"ADC":[156,188],"1.81,":[158],"corresponding":[161],"(PEF)":[165],"2.6.":[167],"Predictive":[168],"autoranging":[170],"binary":[173],"quantizer":[174],"further":[175],"supports":[176],"rapid":[177],"transient":[178],"recovery":[179],"while":[180],"maintaining":[181],"fully":[182],"dc-coupled":[183],"Hence,":[185],"is":[189],"capable":[190],"\u2264":[193,206],"0.01-Hz":[194],"slow":[195],"recovering":[200],"\u2265":[202],"200-mVpp":[203],"transients":[204],"within":[205],"1":[207],"ms":[208],"that":[209],"are":[210],"important":[211],"prerequisites":[212],"effective":[214],"electrocortical":[215],"activity":[219],"mapping.":[220],"In":[221],"vivo":[222],"recordings":[223],"marmoset":[225],"primate":[226],"frontal":[227],"cortex":[228],"demonstrate":[229],"its":[230],"unique":[231],"capabilities":[232],"resolving":[234],"ultra-slow":[235],"local":[236],"field":[237],"indicative":[239],"subject":[241],"arousal":[242],"state.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":7}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2025-10-10T00:00:00"}
