2002 Fiscal Year Final Research Report Summary
Study on mechanisms of integration of featural and spatiotemporal information in visual cognition of dynamic multidimensional situations
| Project/Area Number |
13610084
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
実験系心理学
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| Research Institution | KYOTO UNIVERSITY |
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Principal Investigator |
SAIKI Jun Graduate School of informatics, Associate Professor, 情報学研究科, 助教授 (60283470)
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| Project Period (FY) |
2001 – 2002
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| Keywords | Visual working memory / Visual attention / Information integration / Change blindness / Change detection / Subjective contour / Saliency map / Neural network model |
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| Research Abstract |
( 1 ) Binding of object information in dynamic multidimensional situations: I devised a paradigm called Multiple Object Permanence Tracking (MOPT), and investigated the integration of featural and spatiotemporal information such as color and shape in visual working memory. Although it has been suggested that we can hold information of four to five objects, we have shown that in dynamic and multidimensional situations we could hold at most two objects. The functional unit of our visual working memory is not integrated object representations, and the integration of feature and location itself is a function of object motion and the number of object to be remembered.
( 2 ) Neural network models for movement of attentional focus: We have built a pulsed neural network models for attentional movements in visual search tasks. By the introduction of stochastic mechanism in a saliency map model that is frequently used in the models for visual search, the model could account for the phenomenon of
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search asymmetry quite naturally. Furthermore, this model's novel prediction, search asymmetry in singleton search tasks, was confirmed by psychophysical experiments. Currently, we are extending the model to account for the findings of the Experiments on visual working memory described in section (1).
( 3 ) Roles of visual surfaces in visual working memory: We conducted a series of experiments on the role of surface representation of objects in visual working memory using a change detection task with subjective surface figures. In a detection of shape change between blanks, performance was more accurate when a changing object contains the formation and destruction of subjective surfaces, even if the amount of physical change of figures was identical. This advantage occurred at the level of subjective surfaces, not at the level of subjective edges. Moreover, using a technique to estimate the limits of memory capacity and processing speed called slope-hold analysis, we showed that the effect of subjective surfaces reflects differences in processing speed in formation of object representation. Less
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