Journal ArticleDOI
Brain-Inspired Photonic Neuromorphic Devices using Photodynamic Amorphous Oxide Semiconductors and their Persistent Photoconductivity
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TLDR
The demonstration of photonic neuromorphic devices based on amorphous oxide semiconductors (AOSs) that mimic major synaptic functions, such as short‐term memory/long-term memory, spike‐timing‐dependent plasticity, and neural facilitation, is reported.Abstract:
The combination of a neuromorphic architecture and photonic computing may open up a new era for computational systems owing to the possibility of attaining high bandwidths and the low-computation-power requirements. Here, the demonstration of photonic neuromorphic devices based on amorphous oxide semiconductors (AOSs) that mimic major synaptic functions, such as short-term memory/long-term memory, spike-timing-dependent plasticity, and neural facilitation, is reported. The synaptic functions are successfully emulated using the inherent persistent photoconductivity (PPC) characteristic of AOSs. Systematic analysis of the dynamics of photogenerated carriers for various AOSs is carried out to understand the fundamental mechanisms underlying the photoinduced carrier-generation and relaxation behaviors, and to search for a proper channel material for photonic neuromorphic devices. It is found that the activation energy for the neutralization of ionized oxygen vacancies has a significant influence on the photocarrier-generation and time-variant recovery behaviors of AOSs, affecting the PPC behavior.read more
Citations
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A comprehensive review on emerging artificial neuromorphic devices
TL;DR: A comprehensive review on emerging artificial neuromorphic devices and their applications is offered, showing that anion/cation migration-based memristive devices, phase change, and spintronic synapses have been quite mature and possess excellent stability as a memory device, yet they still suffer from challenges in weight updating linearity and symmetry.
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Recent Advances in Transistor-Based Artificial Synapses
TL;DR: A review of recent advances in transistor‐based artificial synapses is presented to give a guideline for future implementation of synaptic functions with transistors and the main challenges and research directions of transistor‐ based artificial synapse are presented.
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An Artificial Sensory Neuron with Tactile Perceptual Learning.
Changjin Wan,Geng Chen,Yangming Fu,Ming Wang,Naoji Matsuhisa,Shaowu Pan,Liang Pan,Hui Yang,Qing Wan,Li Qiang Zhu,Xiaodong Chen +10 more
TL;DR: An artificial sensory neuron that can integrate and differentiate the spatiotemporal features of touched patterns for recognition is shown, which represents a step toward the design and use of neuromorphic electronic skin with artificial intelligence for robotics and prosthetics.
Journal ArticleDOI
Optoelectronic Synapse Based on IGZO-Alkylated Graphene Oxide Hybrid Structure
Jia Sun,Jia Sun,Seyong Oh,Yongsuk Choi,Seunghwan Seo,Min Jun Oh,Min Hwan Lee,Won Bo Lee,Pil J. Yoo,Jeong Ho Cho,Jin-Hong Park +10 more
TL;DR: Owing to this enhancement of synaptic operation, the recognition rates for the Modified National Institute of Standards and Technology digit patterns improve from 36% and 49% to 50% and 62% in artificial neural networks using long‐term potentiation/depression characteristics with 20 and 100 weight states, respectively.
Journal ArticleDOI
An Oxide Schottky Junction Artificial Optoelectronic Synapse
Shuang Gao,Gang Liu,Huali Yang,Chao Hu,Qilai Chen,Guodong Gong,Wuhong Xue,Xiaohui Yi,Jie Shang,Run-Wei Li +9 more
TL;DR: The photoplasticity of the artificial synapse has been modulated by heterosynaptic means with a sub-1 V external voltage, not only enabling an optoelectronic analog of the mechanical aperture device showing adaptive and stable optical perception capability under different illuminating conditions but also making the artificialsynapse suitable for the mimicry of interest-modulated human visual memories.
References
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