The Optical-Electronic Integrated Spiking Neurons Based on Antiferroelectric Thin-Film Transistors

IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Electron Devices Pub Date : 2024-09-09 DOI:10.1109/TED.2024.3450440
Xiaopeng Luo;Peng Yang;Shihao Yu;Xu Guo;Yefan Zhang;Yang Liu;Yi Sun;Yinan Wang;Sen Liu;Qingjiang Li
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Abstract

Sensory neurons are an important componentin achieving flexible and efficient intelligent sensing systems. Multimodal sensory neurons provide more comprehensive and reliable sensing than unimodal neurons, enabling them to better perform complex recognition or decision-making tasks. This article proposes a multimodal sensory neuron based on antiferroelectric thin-film transistors (AFeTFTs) for the first time. It can realize leaky integrate-and-fire (LIF) neuron behavior in both optical and electrical modes. The hafnium-based antiferroelectric capacitor is integrated on the gate of amorphous indium gallium zinc oxide thin-film transistors (a-IGZO, TFTs). By utilizing the polarization and depolarization properties of the antiferroelectric thin film Hf 0.14 Zr 0.86 O 2 , achieving the integration and firing behavior of LIF neurons in electrical mode. Additionally, based on the photosensitive properties of IGZO films, the device also realizes LIF neuron behavior in optical mode. The device exhibits reliable performance and high reproducibility. Since the IGZO film serves as both the channel layer of the transistor and the photosensitive unit of the neuron, the device has a compact structure and is convenient for integration. This work provides an effective approach for multimodal sensing fusion and functional integration, offering a solution for the realization of more efficient and flexible intelligent sensing systems.
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基于反铁电薄膜晶体管的光电集成尖峰神经元
感觉神经元是实现灵活高效的智能传感系统的重要组成部分。与单模态神经元相比,多模态感觉神经元能提供更全面、更可靠的感知,从而更好地完成复杂的识别或决策任务。本文首次提出了一种基于反铁电薄膜晶体管(AFeTFT)的多模态感觉神经元。它可以在光模式和电模式下实现漏电积分发射(LIF)神经元行为。铪基反铁电体电容器集成在非晶铟镓锌氧化物薄膜晶体管(a-IGZO,TFTs)的栅极上。利用反铁电薄膜 Hf0.14Zr0.86O2 的极化和去极化特性,实现了 LIF 神经元在电模式下的集成和点燃行为。此外,基于 IGZO 薄膜的光敏特性,该器件还实现了 LIF 神经元在光学模式下的行为。该器件性能可靠,重现性高。由于 IGZO 薄膜既是晶体管的沟道层,又是神经元的光敏单元,因此该器件结构紧凑,便于集成。这项工作为多模态传感融合和功能集成提供了一种有效的方法,为实现更高效、更灵活的智能传感系统提供了解决方案。
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来源期刊
IEEE Transactions on Electron Devices
IEEE Transactions on Electron Devices 工程技术-工程:电子与电气
CiteScore
5.80
自引率
16.10%
发文量
937
审稿时长
3.8 months
期刊介绍: IEEE Transactions on Electron Devices publishes original and significant contributions relating to the theory, modeling, design, performance and reliability of electron and ion integrated circuit devices and interconnects, involving insulators, metals, organic materials, micro-plasmas, semiconductors, quantum-effect structures, vacuum devices, and emerging materials with applications in bioelectronics, biomedical electronics, computation, communications, displays, microelectromechanics, imaging, micro-actuators, nanoelectronics, optoelectronics, photovoltaics, power ICs and micro-sensors. Tutorial and review papers on these subjects are also published and occasional special issues appear to present a collection of papers which treat particular areas in more depth and breadth.
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