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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Pérez-Prieto, Norberto | es_ES |
dc.contributor.author | Degado-Restituto,Manuel | es_ES |
dc.date.accessioned | 2021-08-10T07:38:07Z | - |
dc.date.available | 2021-08-10T07:38:07Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Frontiers in Neuroscience,15:681085 (2021) | es_ES |
dc.identifier.uri | http://hdl.handle.net/10261/247649 | - |
dc.description.abstract | Neuroscience 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 performance | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Frontiers Media | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019- 110410RB-I00 | es_ES |
dc.relation.isversionof | Publisher's version | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | Neuroscience | es_ES |
dc.subject | Neural recording | es_ES |
dc.subject | Time multiplexing | es_ES |
dc.subject | Crosstal | es_ES |
dc.subject | CMOS technology | es_ES |
dc.subject | Prosthetics | es_ES |
dc.title | Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays | es_ES |
dc.type | artículo | es_ES |
dc.identifier.doi | 10.3389/fnins.2021.681085 | - |
dc.description.peerreviewed | Peer reviewed | es_ES |
dc.relation.publisherversion | https://doi.org/10.3389/fnins.2021.681085 | es_ES |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/ | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | es_ES |
dc.relation.csic | Sí | es_ES |
oprm.item.hasRevision | no ko 0 false | * |
dc.identifier.funder | http://dx.doi.org/10.13039/501100004837 | es_ES |
dc.identifier.pmid | 34326718 | - |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.openairetype | artículo | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
Aparece en las colecciones: | (IMSE-CNM) Artículos |
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fnins-15-681085.pdf | 4,79 MB | Adobe PDF | Visualizar/Abrir |
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