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All-photonic artificial synapses based on photochromic perovskites for noncontact neuromorphic visual perception

Xing Zhou, Fangzhen Hu, Qing Hou, Jinming Hu, Yimeng Wang, Xi Chen

2024Communications Materials22 citationsDOIOpen Access PDF

Abstract

Abstract Recently optoelectronic synapses generating light-driven electrical memories have played a vital role in the neuromorphic computing of visual perception. However, all the optoelectronic synapses demonstrate photoelectric conversion. Peripheral circuits are used for contact photocurrent measurement, leading to significant energy consumption and impeding the evolution of optical wireless communication. It is crucial to develop noncontact neuromorphic visual perception based on light-driven photonic memories. Herein, we report all-photonic artificial synapses based on photochromic perovskites. Triggered by ultraviolet and visible light pulses, cesium lead iodide bromine induces a structural disorder. Optical transmittance changes induced by the disorder last after the pulses are gone. Next, the photonic memories are propagated in the air and processed by a recurrent neural network. The accuracy of binary image recognition is instantly stabilized at 1.0, and accuracy above 0.8 after 7 epochs is achieved in the recognition of digitals from 0 to 9. The all-photonic synapses realize remote perception with zero in-situ energy consumption and enable artificial sensory systems with low-power computation, remote control, and ultrahigh propagation speed.

Topics & Concepts

Neuromorphic engineeringPhotonicsMaterials scienceOptoelectronicsComputer sciencePhotochromismArtificial neural networkArtificial intelligenceNanotechnologyAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingPhotoreceptor and optogenetics research
All-photonic artificial synapses based on photochromic perovskites for noncontact neuromorphic visual perception | Litcius