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dc.contributor.authorPérez-Prieto, Norbertoes_ES
dc.contributor.authorDegado-Restituto,Manueles_ES
dc.date.accessioned2021-08-10T07:38:07Z-
dc.date.available2021-08-10T07:38:07Z-
dc.date.issued2021-
dc.identifier.citationFrontiers in Neuroscience,15:681085 (2021)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/247649-
dc.description.abstractNeuroscience research into how complex brain functions are implemented at an extra-cellular level requires in vivo neural recording interfaces, including microelectrodes and read-out circuitry, with increased observability and spatial resolution. The trend in neural recording interfaces toward employing high-channel-count probes or 2D microelectrodes arrays with densely spaced recording sites for recording large neuronal populationsmakes it harder to save on resources. The low-noise, low-power requirement specifications of the analog front-end usually requires large silicon occupation, making the problem even more challenging. One common approach to alleviating this consumption area burden relies on time-division multiplexing techniques in which read-out electronics are shared, either partially or totally, between channels while preserving the spatial and temporal resolution of the recordings. In this approach, shared elements have to operate over a shorter time slot per channel and active area is thus traded off against larger operating frequencies and signal bandwidths. As a result, power consumption is only mildly affected, although other performance metrics such as in-band noise or crosstalk may be degraded, particularly if the whole read-out circuit is multiplexed at the analog front-end input. In this article, we review the different implementation alternatives reported for time-division multiplexing neural recording systems, analyze their advantages and drawbacks, and suggest strategies for improving performancees_ES
dc.language.isoenges_ES
dc.publisherFrontiers Mediaes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019- 110410RB-I00es_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.subjectNeurosciencees_ES
dc.subjectNeural recordinges_ES
dc.subjectTime multiplexinges_ES
dc.subjectCrosstales_ES
dc.subjectCMOS technologyes_ES
dc.subjectProstheticses_ES
dc.titleRecording Strategies for High Channel Count, Densely Spaced Microelectrode Arrayses_ES
dc.typeartículoes_ES
dc.identifier.doi10.3389/fnins.2021.681085-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.3389/fnins.2021.681085es_ES
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100004837es_ES
dc.identifier.pmid34326718-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
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