Integrating and segregating multisensory information in the brain

2017 Fiscal Year Final Research Report

• Project/Area Number: 15H02718
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Cognitive science
• Research Institution: National Institute of Advanced Industrial Science and Technology
• Principal Investigator: Yamamoto Shinya 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 (90371088)
• Co-Investigator(Renkei-kenkyūsha): YOSHIE Michiko 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員 (00722175)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 情報統合 / 情報分離 / 多感覚 / 時間知覚 / ベイズ推定 / 順応

Outline of Final Research Achievements

We understand the world by integrating and segregating multiple sensory inputs. Such integration and segregation change our perception of temporal order. The former is known as lag adaptation and the latter is known as Bayesian calibration. In this study, we attempted to elucidate the algorithms of these perceptual changes. We found that lag adaptation occurs even when the audiovisual stimuli have only their onsets or offsets. We also found that calibration occurs when the stimulation intervals are sampled from biased square distribution, suggesting that the brain adopts the posterior mean algorithm in Bayesian estimation of the temporal order. These findings will contribute to a better understanding of the temporal aspects of integration and segregation of multiple sensory inputs.

Free Research Field

認知科学