Light-Stimulated IGZO Transistors with Tunable Synaptic Plasticity Based on Casein Electrolyte Electric Double Layer for Neuromorphic Systems

Kim, Hwi-Su; Park, Hamin; Cho, Won-Ju

doi:10.3390/biomimetics8070532

Cited by 3 publications

(1 citation statement)

References 57 publications

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“…Moreover, they have since advanced their research to create versatile neuromorphic devices based on oxide ionic transistors. This field has attracted widespread attention as more and more researchers are interested in successfully implementing some essential ionic neural functions such as synaptic plasticity [67][68][69][70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85], synaptic filtering [86][87][88], synaptic learning rules [89][90][91][92][93][94], neuronal coding [95], neuronal integration [96], spatiotemporal information processing [32,97], reservoir computing [63], artificial neural networks [41,74,[98][99][100][101][102][103][104][105][106], and artificial sensory neurons [107][108]…”

Section: Electrolyte-gated Transistorsmentioning

confidence: 99%

Oxide Ionic Neuro-Transistors for Bio-inspired Computing

He,

Zhu,

Wan

2024

Nanomaterials

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Current computing systems rely on Boolean logic and von Neumann architecture, where computing cells are based on high-speed electron-conducting complementary metal-oxide-semiconductor (CMOS) transistors. In contrast, ions play an essential role in biological neural computing. Compared with CMOS units, the synapse/neuron computing speed is much lower, but the human brain performs much better in many tasks such as pattern recognition and decision-making. Recently, ionic dynamics in oxide electrolyte-gated transistors have attracted increasing attention in the field of neuromorphic computing, which is more similar to the computing modality in the biological brain. In this review article, we start with the introduction of some ionic processes in biological brain computing. Then, electrolyte-gated ionic transistors, especially oxide ionic transistors, are briefly introduced. Later, we review the state-of-the-art progress in oxide electrolyte-gated transistors for ionic neuromorphic computing including dynamic synaptic plasticity emulation, spatiotemporal information processing, and artificial sensory neuron function implementation. Finally, we will address the current challenges and offer recommendations along with potential research directions.

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Section: Electrolyte-gated Transistorsmentioning

confidence: 99%

Oxide Ionic Neuro-Transistors for Bio-inspired Computing

He,

Zhu,

Wan

2024

Nanomaterials

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Multi-wavelength optoelectronic synapse based on MoS₂/WS₂ van der waals heterostructures

Qiao,

Wang,

Guo

et al. 2024

J. Phys. D: Appl. Phys.

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The utilization of two-dimensional van der waals heterostructures in optoelectronic synapses allows for the integration of information processing and memory, thereby providing novel operating platforms for simulating the perceptual visual systems and developing the neuromorphic computing systems due to its contactless, highly efficient and parallel computing. Herein, we have constructed a straightforward MoS2/WS2 heterostructure optoelectronic synapse and examined its capacity to imitate synaptic behaviors under optical stimulus. The MoS2/WS2 device demonstrated several synaptic functions, such as the excitatory postsynaptic current, short-term plasticity, long-term plasticity, pairs-pulse facilitation and ‘learning-experience’ behavior. Moreover, the MoS2/WS2 synaptic device can achieve a wide range of photo response wavelengths, spanning from UV to visible light, as well as the conversion from short-term plasticity to long-term plasticity. Furthermore, light-induced charge transfer due to adsorption and desorption of oxygen molecules in MoS2/WS2 heterostructure can be used to explain its working mechanism. Additionally, the synaptic plasticity of MoS2/WS2 device can be controlled by adjusting the duration, power and number of the optical pulses, which renders the MoS2/WS2-based optoelectronic synaptic device extremely favorable for implementation in the perceptual visual system.

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A Low-Cost Flexible Optoelectronic Synapse Based on ZnO Nanowires for Neuromorphic Computing

Yue,

Yu,

et al. 2024

Sensors

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Neuromorphic computing, inspired by the brain, holds significant promise for advancing artificial intelligence. Artificial optoelectronic synapses, which can convert optical signals into electrical signals, play a crucial role in neuromorphic computing. In this study, we successfully fabricated a flexible artificial optoelectronic synapse device based on the ZnO/PDMS structure by utilizing the magnetron sputtering technique to deposit the ZnO film on a flexible substrate. Under UV light illumination, the device exhibits excellent synaptic plasticity, including excitatory postsynaptic current (EPSC), short-term potentiation (STP), and paired-pulse facilitation (PPF). By growing ZnO nanowires, we improved the fabrication processes and further enhanced the synaptic properties of the device, demonstrating long-term potentiation (LTP) and the transition from short-term memory (STM) to long-term memory (LTM). Additionally, the device exhibits outstanding flexibility, maintaining stable synaptic plasticity under bending conditions. This device shows broad application potential in mimicking visual systems and is expected to contribute significantly to the development of neuromorphic computing.

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Light-Stimulated IGZO Transistors with Tunable Synaptic Plasticity Based on Casein Electrolyte Electric Double Layer for Neuromorphic Systems

Cited by 3 publications

References 57 publications

Oxide Ionic Neuro-Transistors for Bio-inspired Computing

Oxide Ionic Neuro-Transistors for Bio-inspired Computing

Multi-wavelength optoelectronic synapse based on MoS₂/WS₂ van der waals heterostructures

A Low-Cost Flexible Optoelectronic Synapse Based on ZnO Nanowires for Neuromorphic Computing

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Light-Stimulated IGZO Transistors with Tunable Synaptic Plasticity Based on Casein Electrolyte Electric Double Layer for Neuromorphic Systems

Cited by 3 publications

References 57 publications

Oxide Ionic Neuro-Transistors for Bio-inspired Computing

Oxide Ionic Neuro-Transistors for Bio-inspired Computing

Multi-wavelength optoelectronic synapse based on MoS2/WS2 van der waals heterostructures

A Low-Cost Flexible Optoelectronic Synapse Based on ZnO Nanowires for Neuromorphic Computing

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Product

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Multi-wavelength optoelectronic synapse based on MoS₂/WS₂ van der waals heterostructures