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Published September 2, 2021 | Supplemental Material + Published + Submitted
Journal Article Open

Electrode pooling can boost the yield of extracellular recordings with switchable silicon probes

Abstract

State-of-the-art silicon probes for electrical recording from neurons have thousands of recording sites. However, due to volume limitations there are typically many fewer wires carrying signals off the probe, which restricts the number of channels that can be recorded simultaneously. To overcome this fundamental constraint, we propose a method called electrode pooling that uses a single wire to serve many recording sites through a set of controllable switches. Here we present the framework behind this method and an experimental strategy to support it. We then demonstrate its feasibility by implementing electrode pooling on the Neuropixels 1.0 electrode array and characterizing its effect on signal and noise. Finally we use simulations to explore the conditions under which electrode pooling saves wires without compromising the content of the recordings. We make recommendations on the design of future devices to take advantage of this strategy.

Additional Information

© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Received 21 December 2020; Accepted 28 July 2021; Published 02 September 2021. This work was supported by a grant to M.M. from NINDS (5R01NS111477) and an award to M.M. from the Tianqiao and Chrissy Chen Institute for Neuroscience. Y.L.N. was supported by the Taipei Veterans General Hospital – National Yang-Ming University Physician Scientists Cultivation Program, No. 103-Y-A-003. Data availability: All data relevant to the reported results are available in a public repository: https://github.com/markusmeister/Electrode-Pooling-Data-and-Code. An archived version is available from CaltechDATA: https://doi.org/10.22002/D1.2032. Code availability: All code used to obtain the reported results are available in a public repository: https://github.com/markusmeister/Electrode-Pooling-Data-and-Code. An archived version is available from CaltechDATA: https://doi.org/10.22002/D1.2032. These authors contributed equally: Kyu Hyun Lee, Yu-Li Ni. Author Contributions: K.H.L., Y.L.N., and M.M. conceived of the study. K.H.L. and Y.L.N. did experiments and simulations. K.H.L., Y.L.N., and M.M. analyzed the resulting data. J.C., B.K., J.P., M.P., and T.D.H. wrote software for acquisition and analysis, and advised on the use of Neuropixels. K.H.L., Y.L.N., and M.M. drafted the article. All authors edited the manuscript. The authors declare no competing interests. Peer review information: Nature Communications thanks Srinjoy Mitra and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

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Published - s41467-021-25443-4.pdf

Submitted - 851691v2.full.pdf

Supplemental Material - 41467_2021_25443_MOESM1_ESM.pdf

Supplemental Material - 41467_2021_25443_MOESM2_ESM.pdf

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Additional details

Created:
August 22, 2023
Modified:
December 22, 2023