Cited by 219Advanced Memory and Neural ComputingNeural dynamics and brain functionstochastic dynamics and bifurcation

Brains Are Made of Memristors

Sah, Maheshwar Pd., Kim, Hyongsuk, Chua, Leon O.·2014·IEEE Circuits and Systems Magazine

Abstract

This exposition shows that the potassium ion-channels and the sodium ion-channels that are distributed over the entire length of the axons of our neurons are in fact locally-active memristors. In particular, they exhibit all of the fingerprints of memristors, including the characteristic pinched hysteresis Lissajous figures in the voltage-current plane, whose loop areas shrink as the frequency of the periodic excitation signal increases. Moreover, the pinched hysteresis loops for the potassium ion-channel memristor, and the sodium ion-channel memristor, from the Hodgkin-Huxley axon circuit model are unique for each periodic excitation signal. An in-depth circuit-theoretic analysis and characterizations of these two classic biological memristors are presented via their small-signal memristive equivalent circuits, their frequency response, and their Nyquist plots. Just as the Hodgkin-Huxley circuit model has stood the test of time, its constituent potassium ion-channel and sodium ion-channel memristors are destined to be classic examples of locally-active memristors in future textbooks on circuit theory and bio-physics.

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Crossref · 10.1109/mcas.2013.2296414

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  • Numerous examples of pinched hysteresis loops of memristors can be found in [3], [13], [22].

    “Numerous examples of pinched hysteresis loops of memristors can be found in [3], [13], [22].”
  • If the memductance function G(x,0) is a smooth function of x, then the Continuum-Memory Memristor can be used as a synapse in brain-like machines.

    “In the case where the memductance function G ( x, 0) is a smooth function x , then this memristor can be used as a synapse [3], [32], [35] in brainslike machines.”

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Authors
Sah, M. P., Kim, H., & Chua, L. O.
Affiliations
  • Jeonbuk National University (KR)
  • University of California, Berkeley (US)
Venue
IEEE Circuits and Systems Magazine
Published
2014
Volume
14
Issue
1
Pages
12-36
ISSN
  • 0163-6812 (ISSN-L)
  • 1531-636X
  • 1558-0830
OpenAlex
W1971213017
Cited by
219
References
5
Citations by year
2026: 17 · 2025: 27 · 2024: 23 · 2023: 26 · 2022: 19 · 2021: 13 · 2020: 17 · 2019: 10 · 2018: 14 · 2017: 13 · 2016: 20 · 2015: 12 · 2014: 8
FWCI
9.39
Type
journal article
Language
en
Open access
closed
Locations
IEEE Circuits and Systems Magazine (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
Keywords
memristors, ion channels, potassium channels, sodium channels, Hodgkin-Huxley model, axons, pinched hysteresis, frequency response, Nyquist plot, small-signal analysis

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