An Electronic Circuit Piecewise‐Constant Neuron Model for Virtual Clinical Experiment on Neural Prosthesis: Cellular Differentiation and Hardware Implementation

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Authors: Shogo Shirafuji, Kengo Hosoi, Hiroyuki Torikai
Cited by: 1
References: 22

Abstract

Abstract This paper presents a novel piecewise constant (PWC) neuron model, which consists of an analog PWC somatic model and an analog–digital hybrid synaptic unit. It is shown that the PWC neuron model can exhibit various neuron‐like behaviors such as tonic spiking and bursting depending on its parameter values. Then, a novel cellular differentiation method (i.e., parameter search method) for the PWC neuron model is represented. It is shown that the differentiation method can find parameter values suitable to reproduce behaviors of a biologically plausible complicated mathematical neuron model. Furthermore, the PWC neuron model is applied to a virtual experimental trial of neural prosthesis and results show that replacement of a dysfunctional neuron model in a biologically plausible neuron network model by the PWC neuron model can recover the functionality of the network. Finally, potential applications of the PWC neuron model in future brain prosthetic devices are discussed. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Fields of Study & Subjects

Advanced Memory and Neural Computing Neuroscience and Neural Engineering Neural Networks and Applications

Publication details

Journal / source
IEEJ Transactions on Electrical and Electronic Engineering
Publisher
Wiley
Volume
21
Issue
10
Pages
1542–1549
Publication date
21 January 2026
Language
EN