All Two-dimensional Integration-Type Optoelectronic Synapse Mimicking Visual Attention Mechanism for Multi-Target Recognition

Yabo Chen; Yan Kang; Hao HaoXiangnan XieJunwei ZengTao XuCheng LiYinlong TanLiang Fang

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All Two-dimensional Integration-Type Optoelectronic Synapse Mimicking Visual Attention Mechanism for Multi-Target Recognition

机译：All Two-dimensional Integration-Type Optoelectronic Synapse Mimicking Visual Attention Mechanism for Multi-Target Recognition

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The human visual attention mechanism enables them to rapidly perceiveimportant information and objects in a complex external scene; this effectivelysolves the problems of data redundancy, low-resolution images, andsubstantial computing resources. The process by which the attention systemreconstructs the visual information can be considered as integrating internalattention signals with external visual details in the postsynaptic neuron.However, electronic devices that simulate visual attention modulation byincorporating device characteristics into neuromorphic vision systems(NVSs) to achieve visual attention behavior are rarely reported. Herein, asynapse device that integrates optical and electrical stimulation is designedusing ReS_2/hBN/monolayer graphene heterojunction to mimic attentionregulation and integrate multiple neuron signals successfully. The synapsearray can imitate perceptual learning of the human visual system (HVS) torealize visual preprocessing, such as image contrast improvement and weaksignal enhancement at the sensory terminal, and overcome data redundancy.Moreover, by applying gate voltage pulses, electric-tunable synaptic plasticityis successfully observed, attributed to the carrier trapping and de-trappingmechanism in the floating layer. Attention stabilization, fluctuation, distraction,and reinforcement are exhibited, simulating the attention behaviors ofthe HVS. Thus, an NVS with attention mechanism is established dependingon the optoelectronic hybrid synaptic plasticity of the device, which successfullymimics the HVS to perform a multi-target recognition task. Furthermore,the effect of device defects on the NVS is rarely evaluated, in which a methodis provided to analyze the application results of the NVS when consideringuniformity and fault rate. This study may provide new inspiration for developingneuromorphic vision systems for autonomous driving and brainwavecontrol in the future.

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《Advanced functional materials》 |2023年第6期|2209781.1-2209781.16|共16页
作者
Yabo Chen; Yan Kang; Hao HaoXiangnan XieJunwei ZengTao XuCheng LiYinlong TanLiang Fang;
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作者单位

Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha 410073, P. R. China;

College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha 410073, P. R. China;

Institute for Quantum Science and Technology College of Science National University of Defense Technology 410073, Changsha, P. R. China;

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正文语种英语
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integration-type optoelectronic synapses; multi-target recognitions; neuromorphic vision systems; visual attention mechanisms;

All Two-dimensional Integration-Type Optoelectronic Synapse Mimicking Visual Attention Mechanism for Multi-Target Recognition

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