Changes in decisional criteria and bias during perceptual learning
نویسندگان
چکیده
منابع مشابه
Perceptual learning, roving and the unsupervised bias
Perceptual learning improves perception through training. Perceptual learning improves with most stimulus types but fails when certain stimulus types are mixed during training (roving). This result is surprising because classical supervised and unsupervised neural network models can cope easily with roving conditions. What makes humans so inferior compared to these models? As experimental and c...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2004
ISSN: 1534-7362
DOI: 10.1167/4.8.307