Optimal solid-state neurons

Kamal Abu Hassan, Joseph Taylor, Paul G Morris, Elisa Donati, Zuner A Bortolotto, Giacomo Indiveri, Julian Paton, Alain Nogaret

Research output: Contribution to journalArticle

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.

Original languageEnglish
Article number5309
Pages (from-to)5309
JournalNature Communications
Volume10
Issue number1
DOIs
Publication statusPublished - 1 Dec 2019

ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

Cite this

Abu Hassan, K., Taylor, J., Morris, P. G., Donati, E., Bortolotto, Z. A., Indiveri, G., ... Nogaret, A. (2019). Optimal solid-state neurons. Nature Communications, 10(1), 5309. [5309]. https://doi.org/10.1038/s41467-019-13177-3

Optimal solid-state neurons. / Abu Hassan, Kamal; Taylor, Joseph; Morris, Paul G; Donati, Elisa; Bortolotto, Zuner A; Indiveri, Giacomo; Paton, Julian; Nogaret, Alain.

In: Nature Communications, Vol. 10, No. 1, 5309, 01.12.2019, p. 5309.

Research output: Contribution to journalArticle

Abu Hassan, K, Taylor, J, Morris, PG, Donati, E, Bortolotto, ZA, Indiveri, G, Paton, J & Nogaret, A 2019, 'Optimal solid-state neurons', Nature Communications, vol. 10, no. 1, 5309, pp. 5309. https://doi.org/10.1038/s41467-019-13177-3
Abu Hassan K, Taylor J, Morris PG, Donati E, Bortolotto ZA, Indiveri G et al. Optimal solid-state neurons. Nature Communications. 2019 Dec 1;10(1):5309. 5309. https://doi.org/10.1038/s41467-019-13177-3
Abu Hassan, Kamal ; Taylor, Joseph ; Morris, Paul G ; Donati, Elisa ; Bortolotto, Zuner A ; Indiveri, Giacomo ; Paton, Julian ; Nogaret, Alain. / Optimal solid-state neurons. In: Nature Communications. 2019 ; Vol. 10, No. 1. pp. 5309.
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