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Efficient implementation of the Hodgkin-Huxley potassium channel via a single volatile memristor.


ABSTRACT:

Introduction

In 2012, potassium and sodium ion channels in Hodgkin-Huxley-based brain models were shown to exhibit memristive behavior. This positioned memristors as strong candidates for implementing biologically accurate artificial neurons. Memristor-based brain simulations offer advantages in energy efficiency, scalability, and compactness, benefiting fields such as soft robotics, embedded systems, and neuroprosthetics.

Methods

Previous approaches used current-controlled Mott memristors, which poorly matched the voltage-controlled nature of ion channels. This study employs volatile, oxide-based memristors that leverage electric-field-driven oxygen-vacancy migration to emulate voltage-dependent channel behavior. We selected candidate WOx and NbOx memristors and modeled their dynamics to verify performance as Hodgkin-Huxley potassium channels.

Results

The device exhibits sigmoidal gating and voltage-dependent time constants consistent with the theoretical model. By scaling the passive circuitry around the memristors, we show that they capture the essential mechanisms of potassium ion-channels, although spike height is reduced due to strong non-linear voltage-dependence. Still, by cascading multiple compartments, typical spike propagation is retained.

Discussion

This is the first demonstration of a voltage-controlled memristor replicating the Hodgkin-Huxley potassium channel, validating its potential for more efficient brain simulation hardware.

SUBMITTER: Landsmeer LPL 

PROVIDER: S-EPMC12313636 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature

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Efficient implementation of the Hodgkin-Huxley potassium channel via a single volatile memristor.

Landsmeer Lennart P L LPL   Hua Erbing E   Abunahla Heba H   Siddiqi Muhammad Ali MA   Ishihara Ryoichi R   De Zeeuw Chris I CI   Hamdioui Said S   Strydis Christos C  

Frontiers in neuroscience 20250718


<h4>Introduction</h4>In 2012, potassium and sodium ion channels in Hodgkin-Huxley-based brain models were shown to exhibit memristive behavior. This positioned memristors as strong candidates for implementing biologically accurate artificial neurons. Memristor-based brain simulations offer advantages in energy efficiency, scalability, and compactness, benefiting fields such as soft robotics, embedded systems, and neuroprosthetics.<h4>Methods</h4>Previous approaches used current-controlled Mott m  ...[more]

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