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Article Abstract

Inspired by the human visual system, photonic synapses with photonic sensing and data memorization offer a promising alternative to traditional von Neumann architectures for neuromorphic computing. This study introduces a multifunctional artificial photonic synapse based on solution-processed PEASnI 2D Ruddlesden-Popper perovskite. By modulation of the applied bias voltage, the PEASnI device can switch between two distinct optoelectronic modes. In the absence of bias, the device operates in the photodetector mode, demonstrating a responsivity of 42.4 mA W. The low dark current of the device allows for a high detectivity of 3.6 × 10 Jones and a broad linear dynamic range of 140 dB. Under reverse bias, the device transitions into a synaptic mode, enabling the observation of several synaptic behaviors, including paired-pulse facilitation, long-term potentiation, spike-frequency-dependent plasticity, and spike-number-dependent plasticity. The synaptic behavior is attributed to band alignment and carrier accumulation in the interfacial layer. Moreover, the synaptic performance of the PEASnI device is further illustrated through simulations of image contrast enhancement and edge detection. This work reveals the potential of PEASnI-based photonic synapses for next-generation neuromorphic vision systems, offering an energy-efficient and highly adaptable approach to optoelectronic computing applications.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12400261PMC
http://dx.doi.org/10.1021/acsami.5c10557DOI Listing

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