2021•IEEE Transactions on Circuits & Systems II Express BriefsRequires access

Implementation of Hodgkin-Huxley Neuron Model With the Novel Memristive Oscillator

Yue Liu, Herbert Ho‐Ching Iu, Yuhan Qian

Open publisher page 23 citations

Abstract

In this brief, in order to simplify the implementation of the classical Hodgkin-Huxley neuron (HH) model, a novel floating memristor emulator is introduced, which consists of four electronic components and can be considered the simplest implementation in the existing literature. Firstly, the schematic diagrams of the proposed novel HH neuron-based memristive oscillator is presented, and the working mechanism and the bursting phenomenon of which are analyzed. Then, the simulation model of the proposed memristive oscillator emulator is developed in MULTISIM using several off-the-shelf components, which is used to implement a HH neuron model. Moreover, the electrical characteristics of it are examined. In particular, the relationship between the ion channels concentration and the variable voltages of the neuron model is described in detail. Simulation results confirm that the proposed model demonstrates rich bursting oscillation behaviors which is more suitable for simulating the giant squid axon compared to the existing model in the literature, which can be utilized to transmit the neuron information and establish the neural network.

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What this paper is about

In this brief, in order to simplify the implementation of the classical Hodgkin-Huxley neuron (HH) model, a novel floating memristor emulator is introduced, which consists of four electronic components and can be considered the simplest implementation in the existing literature. Firstly, the schematic diagrams of the proposed novel HH neuron-based memristive oscillator is presented, and the working mechanism and the bursting phenomenon of which are analyzed. Then, the simulation model of the proposed memristive oscillator emulator is developed in MULTISIM using several off-the-shelf components, which is used to implement a HH neuron model. Moreover, the electrical characteristics of it are examined. In particular, the relationship between the ion channels concentration and the variable voltages of the neuron model is described in detail. Simulation results confirm that the proposed model demonstrates rich bursting oscillation behaviors which is more suitable for simulating the giant squid axon compared to the existing model in the literature, which can be utilized to transmit the neuron information and establish the neural network.

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Available abstract

In this brief, in order to simplify the implementation of the classical Hodgkin-Huxley neuron (HH) model, a novel floating memristor emulator is introduced, which consists of four electronic components and can be considered the simplest implementation in the existing literature. Firstly, the schematic diagrams of the proposed novel HH neuron-based memristive oscillator is presented, and the working mechanism and the bursting phenomenon of which are analyzed. Then, the simulation model of the proposed memristive oscillator emulator is developed in MULTISIM using several off-the-shelf components, which is used to implement a HH neuron model. Moreover, the electrical characteristics of it are examined. In particular, the relationship between the ion channels concentration and the variable voltages of the neuron model is described in detail. Simulation results confirm that the proposed model demonstrates rich bursting oscillation behaviors which is more suitable for simulating the giant squid axon compared to the existing model in the literature, which can be utilized to transmit the neuron information and establish the neural network.

Key concepts: Hodgkin–Huxley model, Memristor, Biological neuron model, Bursting, Computer science, Schematic, Neuron, Artificial neural network

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