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한혜림(Hyerim Han),조정희(Jeonghee Jo),박종길(Jongkil Park),박성식(Seongsik Park) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
Multimodal models have been studied as promising model that can overcome the disadvantages of the unimodal models. However, not much research has been conducted on the effectiveness of multimodality in spiking neural networks (SNNs), which have been considered a next-generation artificial neural network for their energy efficiency. Thus, in this paper, we analyzed the effectiveness through experiments on modality, model size, and noise. According to our analysis, we validated that SNNs showed greater effectiveness in multimodality than DNNs.