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Mutual information and categorical perception
J Feldman - Psychological Science, 2021 - journals.sagepub.com
Categorical perception refers to the enhancement of perceptual sensitivity near category
boundaries, generally along dimensions that are informative about category membership …
boundaries, generally along dimensions that are informative about category membership …
Category learning can alter perception and its neural correlates
Learned Categorical Perception (CP) occurs when the members of different categories
come to look more dissimilar (“between-category separation”) and/or members of the same …
come to look more dissimilar (“between-category separation”) and/or members of the same …
Learning warps object representations in the ventral temporal cortex
The human ventral temporal cortex (VTC) plays a critical role in object recognition. Although
it is well established that visual experience shapes VTC object representations, the impact of …
it is well established that visual experience shapes VTC object representations, the impact of …
How and why does category learning cause categorical perception?
F Pérez-Gay Juárez, C Thériault… - International journal …, 2017 - escholarship.org
Learning to categorize requires distinguishing category members from non-members by
detecting the features that covary with membership. Human subjects were trained to sort …
detecting the features that covary with membership. Human subjects were trained to sort …
[HTML][HTML] Shape discrimination along morph-spaces
We investigated the dimensions defining mental shape space, by measuring shape
discrimination thresholds along “morph-spaces” defined by pairs of shapes. Given any two …
discrimination thresholds along “morph-spaces” defined by pairs of shapes. Given any two …
Probabilistic origins of compositional mental representations.
J Feldman - Psychological Review, 2024 - psycnet.apa.org
The representation of complex phenomena via combinations of simple discrete features is a
hallmark of human cognition. But it is not clear exactly how (or whether) discrete features …
hallmark of human cognition. But it is not clear exactly how (or whether) discrete features …
Benefits of fading in perceptual learning are driven by more than dimensional attention
Individuals learn to classify percepts effectively when the task is initially easy and then
gradually increases in difficulty. Some suggest that this is because easy-to-discriminate …
gradually increases in difficulty. Some suggest that this is because easy-to-discriminate …
Category bias in similarity ratings: The influence of perceptual and strategic biases in similarity judgments of faces
Introduction After category learning, same-category items tend to be rated as more similar
than items from different categories. Whether this category bias in similarity ratings reflects …
than items from different categories. Whether this category bias in similarity ratings reflects …
Feature saliency and feedback information interactively impact visual category learning
Visual category learning (VCL) involves detecting which features are most relevant for
categorization. VCL relies on attentional learning, which enables effectively redirecting …
categorization. VCL relies on attentional learning, which enables effectively redirecting …
Leveraging Psychophysics to Infer the Mechanisms of Encoding Change in Vision
JS Hays, FA Soto - Computational Brain & Behavior, 2024 - Springer
The use of population encoding models has come to dominate the study of human vision,
serving as a primary tool for making inferences about neuroscience studies neural code …
serving as a primary tool for making inferences about neuroscience studies neural code …