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Abstract

A neuromorphic optical computing architecture system includes: a multi-channel representation module, configured to encode, via a multi-spectral laser, an originally inputted target light field signal into coherent light having different wavelengths; an attention-aware optical neural network module including a bottom-up (BU) optical attention module and a top-down (TD) optical attention module, in which the coherent light having different wavelengths is input to the BU optical attention module and network training is performed on an attention-aware optical neural network, and the TD optical attention module performs, based on the trained attention-aware optical neural network, spectral and spatial transmittance modulation of multi-dimensional sparse features extracted by the BU optical attention module to obtain a final spatial light output; and an output module configured to detect and identify the final spatial light output on an output plane to obtain a location of an object in a light field and an identification result.

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