Optimal solid state neurons

Kamal Abu-Hassan, Joseph D. Taylor, Paul G. Morris, Elisa Donati, Zuner A. Bortolotto, Giacomo Indiveri, Julian F. R. Paton, Alain Nogaret*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

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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 solidstate electronics. By conguring 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 optimisation of nonlinear models demonstrates a powerful method for programming analog electronic circuits. This approach oers a route for repairing diseased biocircuits and emulating their function with biomedical implants that can adapt to biofeedback.
Original languageEnglish
Article number5309 (2019)
Number of pages13
JournalNature Communications
Publication statusPublished - 3 Dec 2019



  • biomedical engineering
  • electrical and electronic engineering
  • electronics, photonics and device physics

Cite this

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