Optimal solid state neurons

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.

Interdisciplinary Research in Alzheimer’s Disease and the Roles International Societies Can Play

“…Harnessing the power of sophisticated computational techniques together with contextualization of both the input and output data could be the key to successfully addressing some of the most difficult problems facing AD research. As an example of the power of collaboration, multidisciplinary researchers from physics, neuroinformatics, and physiology have developed an in-silico model of hippocampal neurons that respond identically to biological neurons under a wide range of stimulations, which has implications in both modelling of AD and for finding treatments [ 29 ]. Overall, there is a good case for the use of a combination of tools from multiple disciplines to develop models of AD and to unravel the complexities of its pathology.…”

Periodicity Pitch Perception

“…A hardware emulation is feasible if the hardware specifications support the model and reproduce the results in the optimal case one by one. High-fidelity reproduction of ionic channel rate kinetics with optimal solid state neurons is recently reported (Abu-Hassan et al, 2019). Many neuromorphic systems lack either the AMPA and/or the GABA channels; thus, the model can be implemented only partly (Benjamin et al, 2014;Furber et al, 2014;Merolla et al, 2014;Yang et al, 2015Yang et al, , 2018Yang et al, , 2020.…”

Organic neuromorphic devices: Past, present, and future challenges

“…21 A recent example however offers a complete analog system in which the artificial neuron's response to ionic currents is both fully modeled and implemented. 22 Nevertheless, despite significant progress in silicon neural emulation, a full implementation remains distant.…”