期刊
TRENDS IN COGNITIVE SCIENCES
卷 19, 期 5, 页码 285-293出版社
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tics.2015.03.002
关键词
psychophysics; generative model; perceptual inference; Weber-Fechner law; Stevens' power law; schizophrenia
资金
- BMBF (DSGZ) [01EO1401]
- BMBF (BCCN) [01GQ0440]
- University of Zurich
- Rene and Susanne Braginsky Foundation
Our representation of the physical world requires judgments of magnitudes, such as loudness, distance, or time. Interestingly, magnitude estimates are often not veridical but subject to characteristic biases. These biases are strikingly similar across different sensory modalities, suggesting common processing mechanisms that are shared by different sensory systems. However, the search for universal neurobiological principles of magnitude judgments requires guidance by formal theories. Here, we discuss a unifying Bayesian framework for understanding biases in magnitude estimation. This Bayesian perspective enables a re-interpretation of a range of established psychophysical findings, reconciles seemingly incompatible classical views on magnitude estimation, and can guide future investigations of magnitude estimation and its neurobiological mechanisms in health and in psychiatric diseases, such as schizophrenia.
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