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CMOS Circuits for Biological Sensing and Processing pp 287–314Cite as

Compressed Sensing for High Density Neural Recording

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Abstract

One of the major challenges in large scale electrophysiology recording devices is the volume of data generated. Typically, each electrode samples the neural signal at 30 KHz with 10 bits digital resolution, a typical speed for neural action potentials acquisition. Hence, a 1000 channel neural probe generates data on the order of 300 Mbits per second. For neuroscientists, this presents an enormous problem in both data transmission and data analysis. Recently, as the demand for high density and distributed neural recording devices grows, tackling the problem of data compression and transmission has become extremely urgent. In this chapter, we first summarize a number of techniques used for neural signal compression. We then focus on the recent development on the use of compressed sensing theory to design more efficient high density neural recording circuits.

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Author information

Authors and Affiliations

  1. Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, USA

    Jie Zhang

  2. Johns Hopkins University, 3400 Charles St., Baltimore, MD, 21218, USA

    Tao Xiong & Ralph Etienne-Cummings

  3. School of Engineering, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK

    Srinjoy Mitra

Authors
  1. Jie Zhang
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  2. Tao Xiong
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  3. Srinjoy Mitra
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  4. Ralph Etienne-Cummings
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Correspondence to Jie Zhang .

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Editors and Affiliations

  1. School of Engineering, University of Glasgow, Glasgow, United Kingdom

    Srinjoy Mitra

  2. School of Engineering, University of Glasgow, Glasgow, United Kingdom

    David R. S. Cumming

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Zhang, J., Xiong, T., Mitra, S., Etienne-Cummings, R. (2018). Compressed Sensing for High Density Neural Recording. In: Mitra, S., Cumming, D. (eds) CMOS Circuits for Biological Sensing and Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-67723-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-67723-1_12

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