| Literature DB >> 33859006 |
Nicholas A Steinmetz1,2, Cagatay Aydin3, Anna Lebedeva4, Michael Okun5,6, Marius Pachitariu7, Marius Bauza4, Maxime Beau8, Jai Bhagat6, Claudia Böhm7, Martijn Broux3, Susu Chen7, Jennifer Colonell7, Richard J Gardner9, Bill Karsh7, Fabian Kloosterman3,10,11,12, Dimitar Kostadinov8, Carolina Mora-Lopez10, John O'Callaghan10, Junchol Park7, Jan Putzeys10, Britton Sauerbrei7, Rik J J van Daal13,3,14, Abraham Z Vollan9, Shiwei Wang10, Marleen Welkenhuysen10, Zhiwen Ye2, Joshua T Dudman7, Barundeb Dutta10, Adam W Hantman7, Kenneth D Harris6, Albert K Lee7, Edvard I Moser9, John O'Keefe4, Alfonso Renart15, Karel Svoboda7, Michael Häusser8, Sebastian Haesler3,11, Matteo Carandini1, Timothy D Harris16.
Abstract
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.Entities:
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Year: 2021 PMID： 33859006 DOI： 10.1126/science.abf4588
Source DB: PubMed Journal: Science ISSN： 0036-8075 Impact factor: 47.728