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Optimal solid state neurons

Author

Listed:
  • Kamal Abu-Hassan

    (University of Bath)

  • Joseph D. Taylor

    (University of Bath)

  • Paul G. Morris

    (University of Bath
    University of Bristol)

  • Elisa Donati

    (University of Zürich and ETH Zürich)

  • Zuner A. Bortolotto

    (University of Bristol)

  • Giacomo Indiveri

    (University of Zürich and ETH Zürich)

  • Julian F. R. Paton

    (University of Bristol
    University of Auckland)

  • Alain Nogaret

    (University of Bath)

Abstract

Bioelectronic medicine is driving the need for neuromorphic microcircuits that integrate raw nervous stimuli and respond identically to biological neurons. However, designing such circuits remains a challenge. Here we estimate the parameters of highly nonlinear conductance models and derive the ab initio equations of intracellular currents and membrane voltages embodied in analog solid-state electronics. By configuring individual ion channels of solid-state neurons with parameters estimated from large-scale assimilation of electrophysiological recordings, we successfully transfer the complete dynamics of hippocampal and respiratory neurons in silico. The solid-state neurons are found to respond nearly identically to biological neurons under stimulation by a wide range of current injection protocols. The optimization of nonlinear models demonstrates a powerful method for programming analog electronic circuits. This approach offers a route for repairing diseased biocircuits and emulating their function with biomedical implants that can adapt to biofeedback.

Suggested Citation

  • Kamal Abu-Hassan & Joseph D. Taylor & Paul G. Morris & Elisa Donati & Zuner A. Bortolotto & Giacomo Indiveri & Julian F. R. Paton & Alain Nogaret, 2019. "Optimal solid state neurons," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13177-3
    DOI: 10.1038/s41467-019-13177-3
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    Cited by:

    1. Elisa Donati & Giacomo Valle, 2024. "Neuromorphic hardware for somatosensory neuroprostheses," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Padinhare Cholakkal Harikesh & Chi-Yuan Yang & Deyu Tu & Jennifer Y. Gerasimov & Abdul Manan Dar & Adam Armada-Moreira & Matteo Massetti & Renee Kroon & David Bliman & Roger Olsson & Eleni Stavrinidou, 2022. "Organic electrochemical neurons and synapses with ion mediated spiking," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Pietro Belleri & Judith Pons i Tarrés & Iain McCulloch & Paul W. M. Blom & Zsolt M. Kovács-Vajna & Paschalis Gkoupidenis & Fabrizio Torricelli, 2024. "Unravelling the operation of organic artificial neurons for neuromorphic bioelectronics," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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