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Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays
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 emplo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313871/ https://www.ncbi.nlm.nih.gov/pubmed/34326718 http://dx.doi.org/10.3389/fnins.2021.681085 |
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author | Pérez-Prieto, Norberto Delgado-Restituto, Manuel |
author_facet | Pérez-Prieto, Norberto Delgado-Restituto, Manuel |
author_sort | Pérez-Prieto, Norberto |
collection | PubMed |
description | 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 populations makes 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. |
format | Online Article Text |
id | pubmed-8313871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83138712021-07-28 Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays Pérez-Prieto, Norberto Delgado-Restituto, Manuel Front Neurosci Neuroscience 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 populations makes 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. Frontiers Media S.A. 2021-07-13 /pmc/articles/PMC8313871/ /pubmed/34326718 http://dx.doi.org/10.3389/fnins.2021.681085 Text en Copyright © 2021 Pérez-Prieto and Delgado-Restituto. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Pérez-Prieto, Norberto Delgado-Restituto, Manuel Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays |
title | Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays |
title_full | Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays |
title_fullStr | Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays |
title_full_unstemmed | Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays |
title_short | Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays |
title_sort | recording strategies for high channel count, densely spaced microelectrode arrays |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313871/ https://www.ncbi.nlm.nih.gov/pubmed/34326718 http://dx.doi.org/10.3389/fnins.2021.681085 |
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