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      Massively parallel microwire arrays integrated with CMOS chips for neural recording

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          Abstract

          Integrating camera chips into neural recording arrays provides a massively parallel brain-machine interface.

          Abstract

          Multi-channel electrical recordings of neural activity in the brain is an increasingly powerful method revealing new aspects of neural communication, computation, and prosthetics. However, while planar silicon-based CMOS devices in conventional electronics scale rapidly, neural interface devices have not kept pace. Here, we present a new strategy to interface silicon-based chips with three-dimensional microwire arrays, providing the link between rapidly-developing electronics and high density neural interfaces. The system consists of a bundle of microwires mated to large-scale microelectrode arrays, such as camera chips. This system has excellent recording performance, demonstrated via single unit and local-field potential recordings in isolated retina and in the motor cortex or striatum of awake moving mice. The modular design enables a variety of microwire types and sizes to be integrated with different types of pixel arrays, connecting the rapid progress of commercial multiplexing, digitisation and data acquisition hardware together with a three-dimensional neural interface.

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          Most cited references58

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          Fully integrated silicon probes for high-density recording of neural activity

          Sensory, motor and cognitive operations involve the coordinated action of large neuronal populations across multiple brain regions in both superficial and deep structures. Existing extracellular probes record neural activity with excellent spatial and temporal (sub-millisecond) resolution, but from only a few dozen neurons per shank. Optical Ca2+ imaging offers more coverage but lacks the temporal resolution needed to distinguish individual spikes reliably and does not measure local field potentials. Until now, no technology compatible with use in unrestrained animals has combined high spatiotemporal resolution with large volume coverage. Here we design, fabricate and test a new silicon probe known as Neuropixels to meet this need. Each probe has 384 recording channels that can programmably address 960 complementary metal–oxide–semiconductor (CMOS) processing-compatible low-impedance TiN sites that tile a single 10-mm long, 70 × 20-μm cross-section shank. The 6 × 9-mm probe base is fabricated with the shank on a single chip. Voltage signals are filtered, amplified, multiplexed and digitized on the base, allowing the direct transmission of noise-free digital data from the probe. The combination of dense recording sites and high channel count yielded well-isolated spiking activity from hundreds of neurons per probe implanted in mice and rats. Using two probes, more than 700 well-isolated single neurons were recorded simultaneously from five brain structures in an awake mouse. The fully integrated functionality and small size of Neuropixels probes allowed large populations of neurons from several brain structures to be recorded in freely moving animals. This combination of high-performance electrode technology and scalable chip fabrication methods opens a path towards recording of brain-wide neural activity during behaviour.
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            Rhythms of the Brain

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              Long-term dynamics of CA1 hippocampal place codes

              Via Ca2+-imaging in freely behaving mice that repeatedly explored a familiar environment, we tracked thousands of CA1 pyramidal cells' place fields over weeks. Place coding was dynamic, for each day the ensemble representation of this environment involved a unique subset of cells. Yet, cells within the ∼15–25% overlap between any two of these subsets retained the same place fields, which sufficed to preserve an accurate spatial representation across weeks.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                March 2020
                20 March 2020
                : 6
                : 12
                : eaay2789
                Affiliations
                [1 ]Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
                [2 ]Paradromics Inc., Austin, TX, USA.
                [3 ]Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
                [4 ]Neurophysiology of Behaviour Laboratory, Francis Crick Institute, London, UK.
                [5 ]Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK.
                [6 ]Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
                [7 ]Department of Physics, Stanford University, Stanford, CA, USA.
                [8 ]Departments of Neurosurgery and Ophthalmology, Stanford University, Stanford, CA, USA.
                Author notes
                [*]

                These authors contributed equally to this work.

                [†]

                These authors share senior authorship.

                []Corresponding author. Email: nmelosh@ 123456stanford.edu (N.A.M.); andreas.schaefer@ 123456crick.ac.uk (A.T.S.)
                Author information
                http://orcid.org/0000-0003-1670-4419
                http://orcid.org/0000-0002-4459-087X
                http://orcid.org/0000-0002-0147-6997
                http://orcid.org/0000-0003-1438-6226
                http://orcid.org/0000-0002-2601-7631
                http://orcid.org/0000-0002-0308-1382
                http://orcid.org/0000-0002-5126-372X
                http://orcid.org/0000-0001-5550-1222
                http://orcid.org/0000-0002-5613-0248
                http://orcid.org/0000-0003-0690-1312
                http://orcid.org/0000-0002-4677-8788
                http://orcid.org/0000-0002-2601-1379
                Article
                aay2789
                10.1126/sciadv.aay2789
                7083623
                32219158
                85d3223a-799c-43a3-9a14-fe53a352aacb
                Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 05 June 2019
                : 26 December 2019
                Funding
                Funded by: doi http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: GRFP DGE-114747
                Funded by: doi http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: IGERT0801700
                Funded by: doi http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: U01NS094248
                Funded by: doi http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R21NS104861
                Funded by: doi http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: 5R43MH110287
                Funded by: doi http://dx.doi.org/10.13039/100000185, Defense Advanced Research Projects Agency;
                Award ID: N66001-17-C-4005
                Funded by: doi http://dx.doi.org/10.13039/100010269, Wellcome;
                Award ID: FC001153
                Funded by: doi http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MC_UP_1202/5
                Funded by: doi http://dx.doi.org/10.13039/501100000854, Human Frontier Science Program;
                Award ID: RGP 00048/2013
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Materials Science
                Neuroscience
                Materials Science
                Custom metadata
                Penchie Limbo

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