Organic Optoelectronic Synapses for Sound Perception
Yanan Wei, Youxing Liu, Qijie Lin, Tianhua Liu, Song Wang, Hao Chen, Congqi Li, Xiaobin Gu, Xin Zhang, Hui Huang
Abstract
Abstract The neuromorphic systems for sound perception is under highly demanding for the future bioinspired electronics and humanoid robots. However, the sound perception based on volume, tone and timbre remains unknown. Herein, organic optoelectronic synapses (OOSs) are constructed for unprecedented sound recognition. The volume, tone and timbre of sound can be regulated appropriately by the input signal of voltages, frequencies and light intensities of OOSs, according to the amplitude, frequency, and waveform of the sound. The quantitative relation between recognition factor ( ζ ) and postsynaptic current ( I = I light − I dark ) is established to achieve sound perception. Interestingly, the bell sound for University of Chinese Academy of Sciences is recognized with an accuracy of 99.8%. The mechanism studies reveal that the impedance of the interfacial layers play a critical role in the synaptic performances. This contribution presents unprecedented artificial synapses for sound perception at hardware levels.