Visual perception through artificial photonic synapses for selective light detection
발표자
()
초록
내용
As an information explosion becomes apparent, mostly originated from the its essential limitation on the conventional structure having separated processing and memory units. To overcome this limitation, it is crucial to imitate the nervous system including synapses, the basic components of human brain, ultimately for realizing a neuromorphic computing system. In this study, a light-responsive synaptic device, which utilizes an organic semiconductor as a light-responsive floating-gate layer of organic field effect transistor (FET) memory architecture, is designed. This organic memory shows a positive shift of its transfer curve under light exposure, as shown in Fig. 1. Based on this property, the memory device can provide various synaptic characteristics. We expect that this strategy can be an effective approach to design a photonic signal-based future neuromorphic computing system.