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A 4096 channel event-based multielectrode array with asynchronous outputs compatible with neuromorphic processors

Author

Listed:
  • Matteo Cartiglia

    (University of Zurich and ETH Zurich)

  • Filippo Costa

    (University of Zurich and ETH Zurich
    University Hospital Zurich)

  • Shyam Narayanan

    (University of Zurich and ETH Zurich)

  • Cat-Vu H. Bui

    (ETH Zurich)

  • Hasan Ulusan

    (ETH Zurich)

  • Nicoletta Risi

    (University of Groningen
    University of Groningen)

  • Germain Haessig

    (University of Zurich and ETH Zurich)

  • Andreas Hierlemann

    (ETH Zurich)

  • Fernando Cardes

    (ETH Zurich)

  • Giacomo Indiveri

    (University of Zurich and ETH Zurich)

Abstract

Bio-signal sensing is pivotal in medical bioelectronics. Traditional methods focus on high sampling rates, leading to large amounts of irrelevant data and high energy consumption. We introduce a self-clocked microelectrode array (MEA) that digitizes bio-signals at the pixel level by encoding changes as asynchronous digital address-events only when they exceed a threshold, significantly reducing off-chip data transmission. This novel MEA comprises a 64 × 64 electrode array, an asynchronous 2D-arbiter, and an Address-Event Representation (AER) communication block. Each pixel operates autonomously, monitoring voltage fluctuations from cellular activity and producing digital pulses for significant changes. Positive and negative signal changes are encoded as “up” and “down” events and are routed off-chip via the asynchronous arbiter. We present results from chip characterization and experimental measurements using electrogenic cells. Additionally, we interface the MEA to a mixed-signal neuromorphic processor, demonstrating a prototype for end-to-end event-based bio-signal sensing and processing.

Suggested Citation

  • Matteo Cartiglia & Filippo Costa & Shyam Narayanan & Cat-Vu H. Bui & Hasan Ulusan & Nicoletta Risi & Germain Haessig & Andreas Hierlemann & Fernando Cardes & Giacomo Indiveri, 2024. "A 4096 channel event-based multielectrode array with asynchronous outputs compatible with neuromorphic processors," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50783-2
    DOI: 10.1038/s41467-024-50783-2
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    References listed on IDEAS

    as
    1. Chiara Bartolozzi & Giacomo Indiveri & Elisa Donati, 2022. "Embodied neuromorphic intelligence," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. David Tsai & Daniel Sawyer & Adrian Bradd & Rafael Yuste & Kenneth L. Shepard, 2017. "A very large-scale microelectrode array for cellular-resolution electrophysiology," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    3. Chiara Bartolozzi & Giacomo Indiveri & Elisa Donati, 2022. "Author Correction: Embodied neuromorphic intelligence," Nature Communications, Nature, vol. 13(1), pages 1-1, December.
    Full references (including those not matched with items on IDEAS)

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