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A unifying theory explains seemingly contradictory biases in perceptual estimation - Nature Neuroscience

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A unifying theory explains seemingly contradictory biases in perceptual estimation - Nature Neuroscience

Perceptual biases are widely regarded as offering a window into the neural computations underlying perception. To understand these biases, previous work has proposed a number of conceptually different, and even seemingly contradictory, explanations, including attraction to a Bayesian prior, repulsion from the prior due to efficient coding and central tendency effects on a bounded range. We present a unifying Bayesian theory of biases in perceptual estimation derived from first principles.

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A unifying theory explains seemingly contradictory biases in perceptual estimation - Nature Neuroscience

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A unifying theory explains seemingly contradictory biases in perceptual estimation - Nature Neuroscience

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