Fully Integrated Memristive Hodgkin-Huxley Neurons With Homeostatic Plasticity

Artificial neurons based on the Hodgkin-Huxley (H-H) models could mimic the richest firing patterns, showing great potential in building high-intelligent systems. Emerging devices, such as NbO2-based threshold-switching devices, exhibit more advantages in constructing H-H neuron circuits compared to conventional transistors. However, the on-chip integration of the memristive H-H neuron circuit remains unexplored, limiting its practical applications in hardware. Here, we design and fabricate a fully integrated memristive H-H neuron circuit and achieve all-or-nothing, refractory period, integrator, class 1 excitation, tonic spiking, subthreshold oscillation, tonic bursting, and mixed-mode firing behaviors. We also demonstrate the homeostatic plasticity based on integrated H-H neuron, specifically, the neuron increases threshold spontaneously when receiving an excessively strong input to avoid the superexcitation in the neuron. This work verifies the feasibility of building an integrated memristive H-H neuron and lays the foundation for building high-bionic neuromorphic systems.

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Publication Details

Journal
IEEE Electron Device Letters
Published
2024-09-10
DOI
https://doi.org/10.1109/led.2024.3456816
Citations
9
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.88

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article

Fully Integrated Memristive Hodgkin-Huxley Neurons With Homeostatic Plasticity

Yanting Ding, Chao Li, Pei Chen, Lingli Cheng et al.
9 citations
IEEE Electron Device Letters
Advanced Memory and Neural Computing
1.88
article

Fully Integrated Memristive Hodgkin-Huxley Neurons With Homeostatic Plasticity

Yanting Ding, Chao Li, Pei Chen, Lingli Cheng, Jie Yu, Qi Liu, Yue Yang, Xumeng Zhang
article en
9 citations

Abstract

Artificial neurons based on the Hodgkin-Huxley (H-H) models could mimic the richest firing patterns, showing great potential in building high-intelligent systems. Emerging devices, such as NbO2-based threshold-switching devices, exhibit more advantages in constructing H-H neuron circuits compared to conventional transistors. However, the on-chip integration of the memristive H-H neuron circuit remains unexplored, limiting its practical applications in hardware. Here, we design and fabricate a fully integrated memristive H-H neuron circuit and achieve all-or-nothing, refractory period, integrator, class 1 excitation, tonic spiking, subthreshold oscillation, tonic bursting, and mixed-mode firing behaviors. We also demonstrate the homeostatic plasticity based on integrated H-H neuron, specifically, the neuron increases threshold spontaneously when receiving an excessively strong input to avoid the superexcitation in the neuron. This work verifies the feasibility of building an integrated memristive H-H neuron and lays the foundation for building high-bionic neuromorphic systems.

IEEE Electron Device LettersVol. 45(11)
Chinese Academy of Sciences (CN), Fudan University (CN), Institute of Microelectronics (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 14%
Advanced Memory and Neural Computing
1.88
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Fully Integrated Memristive Hodgkin-Huxley Neurons With Homeostatic Plasticity — Yanting Ding, Chao Li, et al. · IEEE Electron Device Letters (2024) | TGRS Research Map | TGRS