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Neuromorphic optoelectronic devices show great potential in processing complex tasks, but state-of-the-art optoelectronic devices possess an accumulative photocurrent response that causes high consumption and requires additional circuit to stress spike overshoot. Here we proposed a WOx-C60 heterojunction optosynaptic device that can execute efficient human faces recognition through a falling photocurrent response. Such WOx-C60 heterojunction integrates the positive photoresponse of WOx film and negative photoresponse of C60 film to build reliable synapse habituation behaviors, enabling low energy consumption ∼25.0 pJ and 256 distinguished photoresponse states. Reservoir computing (RC) is based on the synapse habituation effect in the WOx-C60 heterojunction, yielding over 95% accuracy for human faces recognition. This work discloses a significant optosynapse mechanism as well as an optoelectronic hardware for in-sensor computing.
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Xiang et al. (2026) studied this question.
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