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. 2021 Aug 30;15:694512. doi: 10.3389/fnins.2021.694512

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Copyright © 2021 Kawada, Saku and Miyamoto.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Fitting results of the mathematical models to the estimated transfer functions for the neural arc, H1 (A), and for the peripheral arc, H2 (B). The smooth orange lines represent the transfer functions of the mathematical models, H1_fit (Eq. 3.5.1) and H2_fit (Eq. 3.5.2). K_n, the steady-state gain of H1_fit; f_c₁, the corner frequency describing the derivative characteristics of H1_fit; f_c₂, the corner frequency describing the high-cut characteristics of H1_fit; K_p, the steady-state gain of H2_fit; f_n: the natural frequency of H2_fit.