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A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior

Behavioral neuroscience faces two conflicting demands: long-duration recordings from large neural populations and unimpeded animal behavior. To meet this challenge, we developed ONIX, an open-source data acquisition system with high data throughput (2GB/sec) and low closed-loop latencies (<1ms) t...

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Autores principales: Newman, Jonathan P., Zhang, Jie, Cuevas-López, Aarón, Miller, Nicholas J., Honda, Takato, van der Goes, Marie-Sophie H., Leighton, Alexandra H., Carvalho, Filipe, Lopes, Gonçalo, Lakunina, Anna, Siegle, Joshua H., Harnett, Mark T., Wilson, Matthew A., Voigts, Jakob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491150/
https://www.ncbi.nlm.nih.gov/pubmed/37693443
http://dx.doi.org/10.1101/2023.08.30.554672
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author Newman, Jonathan P.
Zhang, Jie
Cuevas-López, Aarón
Miller, Nicholas J.
Honda, Takato
van der Goes, Marie-Sophie H.
Leighton, Alexandra H.
Carvalho, Filipe
Lopes, Gonçalo
Lakunina, Anna
Siegle, Joshua H.
Harnett, Mark T.
Wilson, Matthew A.
Voigts, Jakob
author_facet Newman, Jonathan P.
Zhang, Jie
Cuevas-López, Aarón
Miller, Nicholas J.
Honda, Takato
van der Goes, Marie-Sophie H.
Leighton, Alexandra H.
Carvalho, Filipe
Lopes, Gonçalo
Lakunina, Anna
Siegle, Joshua H.
Harnett, Mark T.
Wilson, Matthew A.
Voigts, Jakob
author_sort Newman, Jonathan P.
collection PubMed
description Behavioral neuroscience faces two conflicting demands: long-duration recordings from large neural populations and unimpeded animal behavior. To meet this challenge, we developed ONIX, an open-source data acquisition system with high data throughput (2GB/sec) and low closed-loop latencies (<1ms) that uses a novel 0.3 mm thin tether to minimize behavioral impact. Head position and rotation are tracked in 3D and used to drive active commutation without torque measurements. ONIX can acquire from combinations of passive electrodes, Neuropixels probes, head-mounted microscopes, cameras, 3D-trackers, and other data sources. We used ONIX to perform uninterrupted, long (~7 hours) neural recordings in mice as they traversed complex 3-dimensional terrain. ONIX allowed exploration with similar mobility as non-implanted animals, in contrast to conventional tethered systems which restricted movement. By combining long recordings with full mobility, our technology will enable new progress on questions that require high-quality neural recordings during ethologically grounded behaviors.
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spelling pubmed-104911502023-09-09 A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior Newman, Jonathan P. Zhang, Jie Cuevas-López, Aarón Miller, Nicholas J. Honda, Takato van der Goes, Marie-Sophie H. Leighton, Alexandra H. Carvalho, Filipe Lopes, Gonçalo Lakunina, Anna Siegle, Joshua H. Harnett, Mark T. Wilson, Matthew A. Voigts, Jakob bioRxiv Article Behavioral neuroscience faces two conflicting demands: long-duration recordings from large neural populations and unimpeded animal behavior. To meet this challenge, we developed ONIX, an open-source data acquisition system with high data throughput (2GB/sec) and low closed-loop latencies (<1ms) that uses a novel 0.3 mm thin tether to minimize behavioral impact. Head position and rotation are tracked in 3D and used to drive active commutation without torque measurements. ONIX can acquire from combinations of passive electrodes, Neuropixels probes, head-mounted microscopes, cameras, 3D-trackers, and other data sources. We used ONIX to perform uninterrupted, long (~7 hours) neural recordings in mice as they traversed complex 3-dimensional terrain. ONIX allowed exploration with similar mobility as non-implanted animals, in contrast to conventional tethered systems which restricted movement. By combining long recordings with full mobility, our technology will enable new progress on questions that require high-quality neural recordings during ethologically grounded behaviors. Cold Spring Harbor Laboratory 2023-09-01 /pmc/articles/PMC10491150/ /pubmed/37693443 http://dx.doi.org/10.1101/2023.08.30.554672 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Newman, Jonathan P.
Zhang, Jie
Cuevas-López, Aarón
Miller, Nicholas J.
Honda, Takato
van der Goes, Marie-Sophie H.
Leighton, Alexandra H.
Carvalho, Filipe
Lopes, Gonçalo
Lakunina, Anna
Siegle, Joshua H.
Harnett, Mark T.
Wilson, Matthew A.
Voigts, Jakob
A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
title A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
title_full A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
title_fullStr A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
title_full_unstemmed A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
title_short A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
title_sort unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491150/
https://www.ncbi.nlm.nih.gov/pubmed/37693443
http://dx.doi.org/10.1101/2023.08.30.554672
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