An integrative study on adaptation of human perception based on Bayesian models
Project/Area Number |
23700309
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Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Cognitive science
|
Research Institution | The University of Electro-Communications |
Principal Investigator |
SATO Yoshiyuki 電気通信大学, 情報システム学研究科, 助教 (00548753)
|
Project Period (FY) |
2011 – 2013
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
|
Keywords | 認知科学 / 適応現象 / ベイズ推定 / 感覚統合 / 尤度関数 / 視聴覚統合 |
Research Abstract |
The human brain faces many kinds of uncertainty in the outer world and the nervous systems. It has been known that we can deal with such uncertainty using information from directly observable quantities (called likelihood) and information that is known prior to the observation. How can we learn those information? In this study, we theoretically and experimentally investigate how the learning of those two factors relate to each other, and especially how the likelihood is learned, which is the problem that few studies has put focus on so far. We showed how the learning of the two factors differed, and showed that the likelihood is learned very effectively and flexibly.
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Report
(4 results)
Research Products
(6 results)