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Massively parallel microwire arrays integrated with CMOS chips for neural recording
Multi-channel electrical recordings of neural activity in the brain is an increasingly powerful method revealing new aspects of neural communication, computation, and prosthetics. However, while planar silicon-based CMOS devices in conventional electronics scale rapidly, neural interface devices hav...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083623/ https://www.ncbi.nlm.nih.gov/pubmed/32219158 http://dx.doi.org/10.1126/sciadv.aay2789 |
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author | Obaid, Abdulmalik Hanna, Mina-Elraheb Wu, Yu-Wei Kollo, Mihaly Racz, Romeo Angle, Matthew R. Müller, Jan Brackbill, Nora Wray, William Franke, Felix Chichilnisky, E. J. Hierlemann, Andreas Ding, Jun B. Schaefer, Andreas T. Melosh, Nicholas A. |
author_facet | Obaid, Abdulmalik Hanna, Mina-Elraheb Wu, Yu-Wei Kollo, Mihaly Racz, Romeo Angle, Matthew R. Müller, Jan Brackbill, Nora Wray, William Franke, Felix Chichilnisky, E. J. Hierlemann, Andreas Ding, Jun B. Schaefer, Andreas T. Melosh, Nicholas A. |
author_sort | Obaid, Abdulmalik |
collection | PubMed |
description | Multi-channel electrical recordings of neural activity in the brain is an increasingly powerful method revealing new aspects of neural communication, computation, and prosthetics. However, while planar silicon-based CMOS devices in conventional electronics scale rapidly, neural interface devices have not kept pace. Here, we present a new strategy to interface silicon-based chips with three-dimensional microwire arrays, providing the link between rapidly-developing electronics and high density neural interfaces. The system consists of a bundle of microwires mated to large-scale microelectrode arrays, such as camera chips. This system has excellent recording performance, demonstrated via single unit and local-field potential recordings in isolated retina and in the motor cortex or striatum of awake moving mice. The modular design enables a variety of microwire types and sizes to be integrated with different types of pixel arrays, connecting the rapid progress of commercial multiplexing, digitisation and data acquisition hardware together with a three-dimensional neural interface. |
format | Online Article Text |
id | pubmed-7083623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-70836232020-03-26 Massively parallel microwire arrays integrated with CMOS chips for neural recording Obaid, Abdulmalik Hanna, Mina-Elraheb Wu, Yu-Wei Kollo, Mihaly Racz, Romeo Angle, Matthew R. Müller, Jan Brackbill, Nora Wray, William Franke, Felix Chichilnisky, E. J. Hierlemann, Andreas Ding, Jun B. Schaefer, Andreas T. Melosh, Nicholas A. Sci Adv Research Articles Multi-channel electrical recordings of neural activity in the brain is an increasingly powerful method revealing new aspects of neural communication, computation, and prosthetics. However, while planar silicon-based CMOS devices in conventional electronics scale rapidly, neural interface devices have not kept pace. Here, we present a new strategy to interface silicon-based chips with three-dimensional microwire arrays, providing the link between rapidly-developing electronics and high density neural interfaces. The system consists of a bundle of microwires mated to large-scale microelectrode arrays, such as camera chips. This system has excellent recording performance, demonstrated via single unit and local-field potential recordings in isolated retina and in the motor cortex or striatum of awake moving mice. The modular design enables a variety of microwire types and sizes to be integrated with different types of pixel arrays, connecting the rapid progress of commercial multiplexing, digitisation and data acquisition hardware together with a three-dimensional neural interface. American Association for the Advancement of Science 2020-03-20 /pmc/articles/PMC7083623/ /pubmed/32219158 http://dx.doi.org/10.1126/sciadv.aay2789 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Obaid, Abdulmalik Hanna, Mina-Elraheb Wu, Yu-Wei Kollo, Mihaly Racz, Romeo Angle, Matthew R. Müller, Jan Brackbill, Nora Wray, William Franke, Felix Chichilnisky, E. J. Hierlemann, Andreas Ding, Jun B. Schaefer, Andreas T. Melosh, Nicholas A. Massively parallel microwire arrays integrated with CMOS chips for neural recording |
title | Massively parallel microwire arrays integrated with CMOS chips for neural recording |
title_full | Massively parallel microwire arrays integrated with CMOS chips for neural recording |
title_fullStr | Massively parallel microwire arrays integrated with CMOS chips for neural recording |
title_full_unstemmed | Massively parallel microwire arrays integrated with CMOS chips for neural recording |
title_short | Massively parallel microwire arrays integrated with CMOS chips for neural recording |
title_sort | massively parallel microwire arrays integrated with cmos chips for neural recording |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083623/ https://www.ncbi.nlm.nih.gov/pubmed/32219158 http://dx.doi.org/10.1126/sciadv.aay2789 |
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