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Books > Social sciences > Psychology > Physiological & neuro-psychology
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Perception as Bayesian Inference (Paperback)
Loot Price: R1,875
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Perception as Bayesian Inference (Paperback)
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In recent years, Bayesian probability theory has emerged not only
as a powerful tool for building computational theories of vision,
but also as a general paradigm for studying human visual
perception. The Bayesian approach provides new and powerful
metaphors for conceptualizing visual perception, suggests novel
questions to ask about perceptual processing, and provides the
means to formalize theories of perception that make testable
predictions about human perceptual performance. This book provides
an introduction to and critical analysis of the Bayesian paradigm.
Chapters by leading researchers in computational theory and
experimental visual science introduce new theoretical frameworks
for building perceptual theories, discuss the implications of the
Bayesian paradigm for psychophysical studies of human perception,
and describe specific applications of the approach. The editors
have created a critical dialogue of ideas through the authors'
commentaries on each others' chapters, conveying to the reader a
unique appreciation for the issues and ideas raised in the book.
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