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Optimal solid state neurons.

Published version
Peer-reviewed

Repository DOI


Type

Article

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Authors

Donati, Elisa 
Bortolotto, Zuner A  ORCID logo  https://orcid.org/0000-0002-5513-8061

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.

Description

Keywords

Animals, Brain Stem, Hippocampus, Ion Channel Gating, Ion Channels, Male, Models, Neurological, Neurons, Pyramidal Cells, Rats, Wistar, Respiration

Journal Title

Nat Commun

Conference Name

Journal ISSN

2041-1723
2041-1723

Volume Title

10

Publisher

Springer Science and Business Media LLC