2020 Fiscal Year Final Research Report
Neural basis of Shitsukan perception and the mechanisms of its learning and modulation
| Project Area | Understanding human recognition of material properties for innovation in SHITSUKAN science and technology |
|---|
| Project/Area Number |
15H05916
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
|
| Allocation Type | Single-year Grants |
|---|
| Review Section |
Complex systems
|
|---|
| Research Institution | Tamagawa University (2017-2020)
National Institute for Physiological Sciences (2015-2016) |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
郷田 直一 生理学研究所, システム脳科学研究領域, 助教 (30373195)
本吉 勇 東京大学, 大学院総合文化研究科, 教授 (60447034)
下川 丈明 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 主任研究員 (30645312)
|
|---|
| Project Period (FY) |
2015-06-29 – 2020-03-31
|
| Keywords | 質感 / 視覚 / 表面反射特性 / 素材識別 / 脳活動 |
|---|
| Outline of Final Research Achievements |
Physiological experiments were conducted to understand how neural representation in the cerebral cortex related to Shitsukan (material perception) is acquired and how it is utilized for behavior. It was found that neural representation of various materials is formed in the inferior temporal cortex through visuo-haptic experience, and that neural activities in this area is related to the discrimination in the material perception. A theoretical analysis has succeeded in construction of 3D shape from 2D images of glossy objects. Psychophysical studies have shown that emotional evaluation of material images is performed rapidly based on a small number of visual features, suggesting the presence of shortcut in the neural processes in material perception. This hypothesis was supported by a physiological experiment measuring EEG.
|
| Free Research Field |
視覚生理学
|
| Academic Significance and Societal Importance of the Research Achievements |
質感は本質的に異種感覚が統合されたマルチモーダルな性質を持つが、その仕組みの重要な部分が明らかになった。また、これまで知られていた大脳視覚野の質感表現が実際に質感識別に関与していることが示され、機能的意義がより明確になった。質感は情動に強く結びついているが、その処理が大脳視覚野で階層並列的に行われるのみならず、少数の画像特徴を素早く検出するショートカットの経路も併せ持つことが明らかになった。
|
