Presentation information

Organized Session

Organized Session » [OS] OS-18

[3G3-OS-18a] 感情とAI(1)

Thu. Jun 6, 2019 1:50 PM - 3:30 PM Room G (302A Medium meeting room)

日永田 智絵(電気通信大学)、堀井 隆斗(電気通信大学)、長井 隆行(大阪大学)

3:10 PM - 3:30 PM

[3G3-OS-18a-04] Extraction of Neuroscientific Findings by Visualization of Deep Neural Network

〇Kazuki Sakuma1, Junya Morita1, Taiki Nomura2, Takatsugu Hirayama3, Yu Enokibori3, Kenji Mase3 (1. Faculty of Informatics, Shizuoka University, 2. Graduate School of Information Science, Nagoya University, 3. Graduate School of Informatics, Nagoya University)

Keywords:EEG, emotion, DNN

Recently, research using deep learning has been conducted in various fields. Additionally, research on visualization methods learned by deep learning has also been actively conducted. Furthermore, the relationship between the human subjective state and electroencephalogram (EEG) has been clarified in the psychophysiological field. In this research, we apply the visualization method developed in the image field to the analysis of EEG. Using this method, we examine whether we can abstract physiologically reasonable structure of brain activity from the network visualizing EEG signals.The result of our experiment indicated the two important brain structures showing consistency with the previous neuroscience studies. We consider that our proposed method has some utilities as a tool to progress scientific understanding of human mind.