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Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

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journal contribution
posted on 2021-05-11, 12:43 authored by Nicholas A Steinmetz, Cagatay Aydin, Anna Lebedeva, Michael Okun, Marius Pachitariu, Marius Bauza, Maxime Beau, Jai Bhagat, Claudia Böhm, Martijn Broux, Susu Chen, Jennifer Colonell, Richard J Gardner, Bill Karsh, Fabian Kloosterman, Dimitar Kostadinov, Carolina Mora-Lopez, John O’Callaghan, Junchol Park, Jan Putzeys, Britton Sauerbrei, Rik JJ van Daal, Abraham Z Vollan, Shiwei Wang, Marleen Welkenhuysen, Zhiwen Ye, Joshua T Dudman, Barundeb Dutta, Adam W Hantman, Kenneth D Harris, Albert K Lee, Edvard I Moser, John O’Keefe, Alfonso Renart, Karel Svoboda, Michael Häusser, Sebastian Haesler, Matteo Carandini, Timothy D Harris
Measuring the dynamics of neural processing across time scales requires following the spiking of thousands of individual neurons over milliseconds and months. To address this need, we introduce the Neuropixels 2.0 probe together with newly designed analysis algorithms. The probe has more than 5000 sites and is miniaturized to facilitate chronic implants in small mammals and recording during unrestrained behavior. High-quality recordings over long time scales were reliably obtained in mice and rats in six laboratories. Improved site density and arrangement combined with newly created data processing methods enable automatic post hoc correction for brain movements, allowing recording from the same neurons for more than 2 months. These probes and algorithms enable stable recordings from thousands of sites during free behavior, even in small animals such as mice.

History

Citation

Science 16 Apr 2021: Vol. 372, Issue 6539, eabf4588, DOI:10.1126/science.abf4588

Author affiliation

Centre for Systems Neuroscience and Department of Neuroscience, Psychology and Behaviour, University of Leicester

Version

  • AM (Accepted Manuscript)

Published in

Science

Volume

372

Issue

6539

Pagination

eabf4588

Publisher

American Association for the Advancement of Science (AAAS)

issn

0036-8075

eissn

1095-9203

Acceptance date

2021-03-01

Copyright date

2021

Available date

2021-05-11

Language

en

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