2022 年 41 巻 1 号 p. 29-35
Since Deep Convolutional Neural networks (DCNs) have achieved excellent general object recognition performance, researchers in the fields of systems neuroscience and visual psychophysics have attempted to understand visual processing in the brain via DCNs. In this talk, I will review the progress of DCNs in computer vision, and introduce the authors’ visual neuroscience studies using DCNs. Then, I will discuss the prospects for multi-omics analysis of psychonomic science data based on recent research trends in deep learning and multimodal processing.
