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dc.contributor.authorCha, Ji-Hyoung-
dc.contributor.authorPark, Jee-Ho-
dc.contributor.authorPark, Yongjae-
dc.contributor.authorShin, Hyogeun-
dc.contributor.authorHwang, Kyeong Seob-
dc.contributor.authorCho, Il-Joo-
dc.contributor.authorKim, Seong-Jin-
dc.date.accessioned2024-01-19T10:32:12Z-
dc.date.available2024-01-19T10:32:12Z-
dc.date.created2023-03-10-
dc.date.issued2022-12-
dc.identifier.issn1932-4545-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/114200-
dc.description.abstractThis article presents a CMOS microelectrode array (MEA) system with a reconfigurable sub-array multiplexing architecture using the time-division multiplexing (TDM) technique. The system consists of 24,320 TiN electrodes with 17.7 mu m-pitch pixels and 380 column-parallel readout channels including a low-noise amplifier, a programmable gain amplifier, and a 10-b successive approximation register analog to digital converter. Readout channels are placed outside the pixel for high spatial resolution, and a flexible structure to acquire neural signals from electrodes selected by configuring in-pixel memory is realized. In this structure, a single channel can handle 8 to 32 electrodes, guaranteeing a temporal resolution from 5 kS/s to 20 kS/s for each electrode. A 128 x 190 MEA system was fabricated in a 110-nm CMOS process, and each readout channel consumes 81 mu W at 1.5-V supply voltage featuring input-referred noise of 1.48 mu V-rms without multiplexing and 5.4 mu V-rms with multiplexing at the action-potential band (300 Hz-10 kHz).-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.titleA CMOS Microelectrode Array System With Reconfigurable Sub-Array Multiplexing Architecture Integrating 24,320 Electrodes and 380 Readout Channels-
dc.typeArticle-
dc.identifier.doi10.1109/TBCAS.2022.3211275-
dc.description.journalClass1-
dc.identifier.bibliographicCitationIEEE Transactions on Biomedical Circuits and Systems, v.16, no.6, pp.1044 - 1056-
dc.citation.titleIEEE Transactions on Biomedical Circuits and Systems-
dc.citation.volume16-
dc.citation.number6-
dc.citation.startPage1044-
dc.citation.endPage1056-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000966102000001-
dc.identifier.scopusid2-s2.0-85139856918-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalResearchAreaEngineering-
dc.type.docTypeArticle-
dc.subject.keywordPlusLARGE-SCALE-
dc.subject.keywordPlusBRAIN-
dc.subject.keywordPlusCIRCUIT-
dc.subject.keywordPlusNEURONS-
dc.subject.keywordPlusINTERFACE-
dc.subject.keywordPlusBIOSENSOR-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusPROBES-
dc.subject.keywordAuthorElectrodes-
dc.subject.keywordAuthorNeurons-
dc.subject.keywordAuthorMicromechanical devices-
dc.subject.keywordAuthorRecording-
dc.subject.keywordAuthorMonitoring-
dc.subject.keywordAuthorSpatial resolution-
dc.subject.keywordAuthorMicroelectrodes-
dc.subject.keywordAuthorCMOS integrated circuits-
dc.subject.keywordAuthorSpatiotemporal phenomena-
dc.subject.keywordAuthorCMOS microelectrode array-
dc.subject.keywordAuthorcolumn-parallel readout channel-
dc.subject.keywordAuthorin-pixel memory-
dc.subject.keywordAuthorneural recording-
dc.subject.keywordAuthorreconfigurable sub-array multiplexing-
dc.subject.keywordAuthorspatiotemporal resolution-
dc.subject.keywordAuthortime-division multiplexing-
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