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Artificial visual-tactile perception array for enhanced memory and neuromorphic computations

InfoMat 2024年第3期6卷 81-94页

作者： Jiaqi He Ruilai Wei Shuaipeng Ge Wenqiang Wu Jianchao Guo Juan Tao Ru Wang Chunfeng Wang Caofeng Pan CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijingthe People's Republic of China School of Nanoscience and Engineering University of Chinese Academy of SciencesBeijingthe People's Republic of China Guangdong Research Center for Interfacial Engineering of Functional Materials College of Materials Science and EngineeringShenzhen UniversityShenzhenthe People's Republic of China

The emulation of human multisensory functions to construct artificial perception systems is an intriguing challenge for developing humanoid robotics and cross-modal human–machine *** by human multisensory signal generation and neuroplasticity-based signal processing,here,an artificial perceptual neuro array with visual-tactile sensing,processing,learning,and memory is *** neuromorphic bimodal perception array compactly combines an artificial photoelectric synapse network and an integrated mechanoluminescent layer,endowing individual and synergistic plastic modulation of optical and mechanical information,including short-term memory,long-term memory,paired pulse facilitation,and“learning-experience”***tial or superimposed visual and tactile stimuli inputs can efficiently simulate the associative learning process of“Pavlov's dog”.The fusion of visual and tactile modulation enables enhanced memory of the stimulation image during the learning process.A machine-learning algorithm is coupled with an artificial neural network for pattern recognition,achieving a recognition accuracy of 70%for bimodal training,which is higher than that obtained by unimodal *** addition,the artificial perceptual neuron has a low energy consumption of~20 *** its mechanical compliance and simple architecture,the neuromorphic bimodal perception array has promising applications in largescale cross-modal interactions and high-throughput intelligent perceptions.

关键词： artificial intelligent systems mechanoluminescence neuromorphic computing optoelectronic synapse visual-tactile perception

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