Optimal solid state neurons
Creators
- 1. Department of Physics, University of Bath
- 2. Department of Physics, University of Bath School of Physiology, Pharmacology and Neuroscience, University of Bristol
- 3. Institute of Neuroinformatics, University of Zürich and ETH Zürich
- 4. School of Physiology, Pharmacology and Neuroscience, University of Bristol
- 5. School of Physiology, Pharmacology and Neuroscience, University of Bristol Department of Physiology, Faculty of Medical and Health Sciences, University of Auckland
Description
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.
Files
Optimal solid state neurons.pdf
Files
(2.5 MB)
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