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Optimal solid state neurons

Research output: Contribution to journalArticle

Original languageEnglish
Article number5309 (2019)
Number of pages13
JournalNature Communications
Volume10
DOIs
DateAccepted/In press - 14 Oct 2019
DatePublished (current) - 3 Dec 2019

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 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.

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via Springer Nature at https://www.nature.com/articles/s41467-019-13177-3. Please refer to any applicable terms of use of the publisher.

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