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Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings.
Open accessPublished version of a preprint
Abstract
Recording many neurons for a long time: The ultimate aim of chronic recordings is to sample from the same neuron over days and weeks. However, this goal has been difficult to achieve for large populations of neurons. Steinmetz et al. describe the development and testing of Neuropixels 2.0. This new electrophysiological recording tool is a miniaturized, high-density probe for both acute and long-term experiments combined with sophisticated software algorithms for fully automatic post hoc computational stabilization. The technique also provides a strategy for extending the number of recorded sites beyond the number of available recording channels. In freely moving animals, extremely large numbers of individual neurons could thus be followed and tracked with the same probe for weeks and occasionally months. Science , this issue p. eabf4588
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In the citing paper
“The weight of the probe plus a headstage is about 1.1 g.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Steinmetz et al., 2021
In the citing paper
“Using two four-shank probes, combined with a motion correction algorithm, the success rate of neuron tracking is more than 90% in 2 weeks and more than 80% successful for up to 2 months.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Steinmetz et al., 2021
In the citing paper
“Based on Neuropixels 1.0, the team has successfully developed a more miniaturized Neuropixels 2.0 with more recording sites.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Steinmetz et al., 2021
In the citing paper
“The length of the probe is still 10 mm and the number of recording sites per handle is 1,280.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Steinmetz et al., 2021
In the citing paper
“In the latest research, the problem of stable recording of a single neuron on a long-time scale from several weeks to several months has been overcome (Steinmetz et al., 2021).”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Steinmetz et al., 2021
In the citing paper
“The probe consists of four slices inserted into the brain and a probe base (the voltage signal is filtered, amplified, multiplexed, and digitized on the base).”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Steinmetz et al., 2021
In the citing paper
“Compared with the 20 μm of Neuropixels 1.0, the recording sites are arranged vertically in two columns rather than staggered, and the vertical distance from center to center is 15 μm.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Steinmetz et al., 2021
In the citing paper
“The four-shank version supports 5,120 recording sites and the headstage is miniaturized to about one-third of the size of those for Neuropixels 1.0, which is more suitable for chronic recording in a freely moving mouse.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Steinmetz et al., 2021
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Citations
Cites
A statistical approach to some basic mine valuation problems on the Witwatersrand
Krige, D. G. (1951) · Journal of the Southern African Institute of Mining and Metallurgy · Cited by 2,409
Fully integrated silicon probes for high-density recording of neural activity
Jun, J. J., Steinmetz, N. A., Siegle, J. H., Denman, D. J., Bauza, M., Barbarits, B., Lee, A. K., Anastassiou, C. A., Andrei, A., Aydın, Ç., et al. (2017) · Nature · doi:10.1038/nature24636 · Cited by 2,190 · cited 3×
“Recent advances, including theNeuropixels probe, have leveraged complementarymetal-oxide semiconductor (CMOS) fabrication methods to considerably expand the number and density of recording sites (6, 7), allowing unprecedented recordings of large populations of neurons distributed across the brain at singlespike resolu…”
Self-citationSpontaneous behaviors drive multidimensional, brainwide activity
Stringer, C., Pachitariu, M., Steinmetz, N., Reddy, C. B., Carandini, M., & Harris, K. D. (2019) · Science · doi:10.1126/science.aav7893 · Cited by 1,510 · cited 1×
“…the Neuropixels probe, haveleveragedcomplementarymetal-oxidesemi-conductor(CMOS)fabricationmethodsto considerablyexpandthenumberandden-sityofrecordingsites( 6 , 7 ), allowing unprecedented recordings of large populations of neurons distributed across the brain at single-spike resolution ( 8 – 11 ).”
Self-citationA toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing
Madisen, L., Mao, T., Koch, H., Zhuo, J.-M., Berenyi, A., Fujisawa, S., Hsu, Y.-W. A., Garcia, A. J., Gu, X., Zanella, S., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3078 · Cited by 1,398
Self-citationSuite2p: beyond 10,000 neurons with standard two-photon microscopyPreprint
Pachitariu, M., Stringer, C., Dipoppa, M., Schröder, S., Rossi, L. F., Dalgleish, H. W. P., Carandini, M., & Harris, K. D. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/061507 · Cited by 1,250 · cited 2×
“To correct for nonrigid drift, we again turn to a common practice in image analysis: splitting the data into multiple segments and assuming approximately rigid drift for each small segment (Pachitariu et al., 2017).”
MethodSelf-citationAn Integrated Brain-Machine Interface Platform With Thousands of Channels
Musk, E., & Neuralink (2019) · Journal of Medical Internet Research · doi:10.2196/16194 · Cited by 1,206
Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex
Ohki, K., Chung, S., Ch'ng, Y. H., Kara, P., & Reid, R. C. (2005) · Nature · doi:10.1038/nature03274 · Cited by 1,191
Single-trial neural dynamics are dominated by richly varied movements
Musall, S., Kaufman, M. T., Juavinett, A., Gluf, S., & Churchland, A. K. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0502-4 · Cited by 1,102
Extension of phase correlation to subpixel registration
Foroosh, H., Zerubia, J. B., & Berthod, M.-A. (2002) · IEEE Transactions on Image Processing · doi:10.1109/83.988953 · Cited by 981 · cited 1×
“To achieve this objective, we use a standard correlation-based registration approach, similar to the approach used for 2p calcium imaging data (Foroosh et al., 2002; Pachitariu et al., 2017).”
Spike sorting for large, dense electrode arrays
Rossant, C., Kadir, S., Goodman, D. F. M., Schulman, J., Hunter, M. L. D., Saleem, A. B., Grosmark, A., Belluscio, M., Denfield, G. H., Ecker, A. S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4268 · Cited by 800
Self-citation
Research works printed but not linked: 1
- M. Recce, J. O’Keefe, The tetrode: A new technique for multi-unit extracellular recording. Soc. Neurosci. Abstr. 15, 1250 (1989).
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Metadata
- Authors
- Steinmetz, N. A., Aydin, C., Lebedeva, A., Okun, M., Pachitariu, M., Bauza, M., Beau, M., Bhagat, J., Böhm, C., Broux, M., Chen, S., Colonell, J., Gardner, R. J., Karsh, B., Kloosterman, F., Kostadinov, D., Mora-Lopez, C., O’Callaghan, J., Park, J., Putzeys, J., Sauerbrei, B., van Daal, R. J. J., Vollan, A. Z., Wang, S., Welkenhuysen, M., Ye, Z., Dudman, J. T., Dutta, B., Hantman, A. W., Harris, K. D., Lee, A. K., Moser, E. I., O’Keefe, J., Renart, A., Svoboda, K., Häusser, M., Haesler, S., Carandini, M., & Harris, T. D.
- Affiliations
- University of Washington (US)
- Neuroelectronics Research Flanders, Leuven, Belgium.
- Sainsbury Wellcome Centre (GB)
- University of Leicester (GB)
- Howard Hughes Medical Institute (US)
- Sainsbury Wellcome Centre, University College London, London, UK.
- University College London (GB)
- UCL Queen Square Institute of Neurology (GB)
- Neuroelectronics Research Flanders (BE)
- Norwegian University of Science and Technology (NO)
- Vlaams Instituut voor Biotechnologie (BE)
- IMEC, Leuven, Belgium.
- IMEC (BE)
- Champalimaud Foundation (PT)
- Corresponding author
- Steinmetz, Nicholas A.
- Lebedeva, Anna
- Okun, Michael
- Pachitariu, Marius
- Carandini, Matteo
- Harris, Timothy D.
- ORCID
- Steinmetz, Nicholas A.
- Aydin, Cagatay
- Lebedeva, Anna
- Okun, Michael
- Pachitariu, Marius
- Bauza, Marius
- Beau, Maxime
- Bhagat, Jai
- Böhm, Claudia
- Broux, Martijn
- Chen, Susu
- Colonell, Jennifer
- Gardner, Richard J.
- Karsh, Bill
- Kloosterman, Fabian
- Kostadinov, Dimitar
- Park, Junchol
- Putzeys, Jan
- Sauerbrei, Britton
- van Daal, Rik J. J.
- Vollan, Abraham Z.
- Wang, Shiwei
- Welkenhuysen, Marleen
- Ye, Zhiwen
- Dudman, Joshua T.
- Hantman, Adam W.
- Lee, Albert K.
- Moser, Edvard I.
- O’Keefe, John
- Renart, Alfonso
- Svoboda, Karel
- Häusser, Michael
- Haesler, Sebastian
- Carandini, Matteo
- Harris, Timothy D.
- Venue
- Science
- Published
- 2021-04-16
- Volume
- 372
- Issue
- 6539
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC8244810
- OpenAlex
- W3142226569
- Cited by
- 1,173
- References
- 81
- Citations by year
- 2026: 200 · 2025: 255 · 2024: 246 · 2023: 235 · 2022: 150 · 2021: 81
- FWCI
- 81.91
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Science (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- PubMed Central (acceptedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- Lirias (submittedVersion)
- Lirias (KU Leuven) (submittedVersion)
- Funders
- National Institutes of Health (1U01NS113252-01)
- Pew Charitable Trusts
- Kavli Foundation
- Esther A. and Joseph Klingenstein Fund
- ASCRS Research Foundation
- Wellcome (204915/Z/16/Z, 201225/Z/16/Z, 204717/Z/16/Z)
- Agentschap Innoveren en Ondernemen (1U01NS113252-01, G096219N, C14/17/109, G0D7516N, C14/17/042, BB/P020607/1, SBF002, HBC.2018.2114)
- Biotechnology and Biological Sciences Research Council
- Fonds Wetenschappelijk Onderzoek
- KU Leuven (C14/17/109)
- Vlaamse regering
- Fundação Champalimaud (204915/Z/16/Z, 951319, 295721, 286225, 223262)
- Koç Üniversitesi
- Research Council of Norway (National Infrastructure Scheme, NORBRAIN, grant number 295721, FRIPRO grant number 286225, Centre of Excellence grant number 223262)
- HHMI Janelia Research Campus
- Hermesfonds with a VLAIO Baekeland mandate (HBC.2018.2114)
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour
- Research Foundation Flanders (G096219N)
- Academy of Medical Sciences and Wellcome Trust (Springboard SBF002\1045)
- BBSRC (BB/P020607/1)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- chronic neural recording, miniaturized probe, site density, post-hoc correction, small mammals, mice, rats
- MeSH terms
- Action Potentials, Algorithms, Animals, Brain, Electrodes, Implanted, Electrophysiology, Male, Mice, Inbred C57BL, Microelectrodes, Miniaturization, Neurons, Mice, Rats
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