MoS2-based multiterminal ionic transistor with orientation-dependent STDP learning rules

Tian, Changfa; Wei, Liubo; Jiang, Jie

doi:10.1016/j.sse.2022.108386

Cited by 8 publications

(6 citation statements)

References 45 publications

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“…Moreover, this particular structure also has the ability to modulate synaptic weights according to spatial orientation, through which orientation-dependent spike timing plasticity learning rules can be successfully implemented. Such devices provide a viable method for building spatiotemporally correlated neuromorphic systems [ 154 ]. This device can provide a novel approach for achieving praiseworthy pain-perceptual functions and may also create a new opportunity for oxide transistor arrays in future multifunctional robotics and auxiliary equipment.…”

Section: Neuromorphic Applicationsmentioning

confidence: 99%

Metal-Oxide Heterojunction: From Material Process to Neuromorphic Applications

Diao,

Zhang,

et al. 2023

Sensors

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As technologies like the Internet, artificial intelligence, and big data evolve at a rapid pace, computer architecture is transitioning from compute-intensive to memory-intensive. However, traditional von Neumann architectures encounter bottlenecks in addressing modern computational challenges. The emulation of the behaviors of a synapse at the device level by ionic/electronic devices has shown promising potential in future neural-inspired and compact artificial intelligence systems. To address these issues, this review thoroughly investigates the recent progress in metal-oxide heterostructures for neuromorphic applications. These heterostructures not only offer low power consumption and high stability but also possess optimized electrical characteristics via interface engineering. The paper first outlines various synthesis methods for metal oxides and then summarizes the neuromorphic devices using these materials and their heterostructures. More importantly, we review the emerging multifunctional applications, including neuromorphic vision, touch, and pain systems. Finally, we summarize the future prospects of neuromorphic devices with metal-oxide heterostructures and list the current challenges while offering potential solutions. This review provides insights into the design and construction of metal-oxide devices and their applications for neuromorphic systems.

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Section: Neuromorphic Applicationsmentioning

confidence: 99%

Metal-Oxide Heterojunction: From Material Process to Neuromorphic Applications

Diao,

Zhang,

et al. 2023

Sensors

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“…5 These SRDP or STDP characteristics in three-terminal synaptic devices and neuromorphic systems have been reported. [6][7][8][9] However, device types that can imitate synaptic characteristics are being studied in various groups using two-terminal devices due to the complicated circuits and large power consumption of three-terminal devices. [10][11][12] Two-terminal resistive-random-access memory (RRAM) has been studied to demonstrate the analog properties of biological synapses with synaptic plasticity, the ability to strengthen or weaken weights.…”

Section: Introductionmentioning

confidence: 99%

Volatile threshold switching and synaptic properties controlled by Ag diffusion using Schottky defects

Jeon,

Akinwande,

Choi

2024

Nanoscale Horiz.

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“…In recent years, scientists have made significant progress in developing bio-inspired synaptic systems and artificial multisensory neurons for memory and perception (Figure 1a.1). [9,[10][11][12] These neuromorphic devices are capable of imitating basic and advanced neural functions, such as pain perception, pattern recognition, [13,14] and light-, sound-and pressure sensing, [15][16][17] Figure 1. Human-brain-inspired multisensory functions and neuromorphic research.…”

Section: Introductionmentioning

confidence: 99%

Advanced Neuromorphic Applications Enabled by Synaptic Ion‐Gating Vertical Transistors

Merces,

Ferro,

Nawaz

et al. 2024

Advanced Science

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Bioinspired synaptic devices have shown great potential in artificial intelligence and neuromorphic electronics. Low energy consumption, multi‐modal sensing and recording, and multifunctional integration are critical aspects limiting their applications. Recently, a new synaptic device architecture, the ion‐gating vertical transistor (IGVT), has been successfully realized and timely applied to perform brain‐like perception, such as artificial vision, touch, taste, and hearing. In this short time, IGVTs have already achieved faster data processing speeds and more promising memory capabilities than many conventional neuromorphic devices, even while operating at lower voltages and consuming less power. This work focuses on the cutting‐edge progress of IGVT technology, from outstanding fabrication strategies to the design and realization of low‐voltage multi‐sensing IGVTs for artificial‐synapse applications. The fundamental concepts of artificial synaptic IGVTs, such as signal processing, transduction, plasticity, and multi‐stimulus perception are discussed comprehensively. The contribution draws special attention to the development and optimization of multi‐modal flexible sensor technologies and presents a roadmap for future high‐end theoretical and experimental advancements in neuromorphic research that are mostly achievable by the synaptic IGVTs.

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MoS2-based multiterminal ionic transistor with orientation-dependent STDP learning rules

Cited by 8 publications

References 45 publications

Metal-Oxide Heterojunction: From Material Process to Neuromorphic Applications

Metal-Oxide Heterojunction: From Material Process to Neuromorphic Applications

Volatile threshold switching and synaptic properties controlled by Ag diffusion using Schottky defects

Advanced Neuromorphic Applications Enabled by Synaptic Ion‐Gating Vertical Transistors

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