Visible Light‐Sensitive Artificial Photonic Synapse
Source abstract
Abstract
Abstract Computing based on artificial neuron networks holds great promise in overcoming the von Neumann bottleneck and significantly enhancing computing efficiency. It offers a wide range of possibilities for artificial visual system applications. Photonic synapses, as essential components, can contribute to improved efficiency in visual information processing by leveraging their low latency, high propagation speed, and broad bandwidth capabilities. Herein, a photonic transistor capable of detecting visible light and exhibiting synaptic characteristics under various visible stimuli is presented. This is achieved by integrating a photo‐sensitive polymer as a floating gate charge trapping medium. The synaptic device successfully emulates fundamental synaptic behaviors such as excitatory postsynaptic current (EPSC), pair‐pulse facilitation, the transition of short‐term memory to long‐term memory, and learning and forgetting processes. Furthermore, leveraging the ESPC responses, the informative synaptic outputs modulated by light signals enable a non‐contact writing method, paving the way for advancements in optical wireless communication. It is believed that this work serves as a promising building block to complete the bio‐inspired photonic computing paradigm.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing · Photoreceptor and optogenetics research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Organic and Nano Engineering Hanyang University Seoul 04763 Republic of Korea
Human‐Tech Convergence Program Hanyang University Seoul 04763 Republic of Korea
Hanyang Institute of Smart Semiconductor Hanyang University Seoul 04763 Republic of Korea
Funding
National Research Foundation of Korea
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