| Budget Amount *help |
¥16,250,000 (Direct Cost: ¥12,500,000、Indirect Cost: ¥3,750,000)
Fiscal Year 2017: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2015: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
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| 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.
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