SPATIAL AND TEMPORAL INTEGRATION IN OBJECT PERCEPTION
SPATIAL AND TEMPORAL INTEGRATION IN OBJECT PERCEPTION
批准号:
6635741
负责人:
PHILIP J KELLMAN
金额:
$20.76万
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-03-01 至 2005-02-28
关键词:
adult human (21+) computational neuroscience computer simulation form /pattern perception human subject mathematical model mental process motion perception neural information processing neurophysiology neuropsychological tests neuropsychology psychophysics space perception statistics /biometry surface property time perception vision tests visual depth perception visual stimulus visual tracking young adult human (21-34)
中文摘要
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英文摘要
DESCRIPTION: This project comprises a broad-based investigation into visual
object and surface perception. Much of human thought and behavior is organized
around the perception and representation of objects. Among the fundamental,
unsolved problems of object perception is unit formation: How do we obtain
descriptions of connected objects in the three-dimensional world despite
interruptions - across space and time-of their contours and surfaces in their
projections to the eyes? Answering these questions of unit formation and
related aspects of object perception is the goal of the research.
Psychophysical experiments using objective performance tasks with normal, human
adult observers are used to probe the information (stimulus relationships)
involved, the representations formed and the processing characteristics of
human object perception. The data are used to construct geometric and
information-processing models of the contour and surface relationships that
lead to perception of connected objects, as well as to inform models of the
neural activity underlying perception.
Building on prior work, the current project extends the empirical and
theoretical efforts into the less well-studied domains of three-dimensional
relationships in object formation and dynamic (motion-carried) information.
Particularly exciting is the suggestion in recent work that common principles
may describe unit formation in two and three dimensions, and dynamic vision.
These efforts will lead toward a better understanding of fundamental cognitive
and behavioral processes - those that achieve representations of objects,
surfaces and scenes. The results will have manifold implications for
understanding normal and impaired human function, for constructing artificial
(including robotic) vision systems for probing the neural mechanisms of
perception.
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