<p>Rows correspond to values of “nucleus roundness”; columns correspond to values of “membrane thickness.” Any cell resides at one entry in the matrix (circles in the matrix). A single exemplar consists of three cells (i.e., three circles from the matrix). Members of X consist of three cells connected by lines of finite positive slope (such as the dashed line). Members of Y consist of three cells connected by lines of finite negative slope (such as the solid line). Gray bars indicate values withheld from training exemplars for use during transfer. Circles marked “G” correspond to cells that can appear only in category X; circles marked “g” appear only in X during training, but in either X or Y during transfer. Cells marked “H” only appear i...
<p>Left: pre-training; right: post-training. We counted how often every stimulus was identified as o...
<p>Green traces denote distributions for category , whereas orange traces denote distributions for c...
Learning to categorize requires distinguishing category members from non-members by detecting the fe...
<p>The top row contains two exemplars from Category X; the bottom row contains two exemplars from Ca...
<p>All electrodes and time samples of the brain response were used together in the six-class categor...
had criterial features and that category membership could be determined by logical rules for the com...
<p>The logic is identical to that of the matrix in <a href="http://www.plosone.org/article/info:doi/...
“P” represents the category prototype whose color and size values were seen during training. “T” rep...
a, b, c) Experiment 1 Training results generally reflect direct CS/US associations, 1st-order positi...
<p>The top row contains two exemplars from Category X; the bottom row contains two exemplars from Ca...
Recent studies have suggested a profound influence of category learning on visual perception, result...
<p>The vertical line separating Category A and Category B represents the strategy that maximizes cat...
Examples of a subset of the test stimuli (Train, Near2, Far) seen by the Inconsistent group varying ...
<p>Representation of the five <i>object levels</i> used in the discrimination experiment. Each level...
<p>Case 4 simulations in which the category cells receive projections from input stripe cells of thr...
<p>Left: pre-training; right: post-training. We counted how often every stimulus was identified as o...
<p>Green traces denote distributions for category , whereas orange traces denote distributions for c...
Learning to categorize requires distinguishing category members from non-members by detecting the fe...
<p>The top row contains two exemplars from Category X; the bottom row contains two exemplars from Ca...
<p>All electrodes and time samples of the brain response were used together in the six-class categor...
had criterial features and that category membership could be determined by logical rules for the com...
<p>The logic is identical to that of the matrix in <a href="http://www.plosone.org/article/info:doi/...
“P” represents the category prototype whose color and size values were seen during training. “T” rep...
a, b, c) Experiment 1 Training results generally reflect direct CS/US associations, 1st-order positi...
<p>The top row contains two exemplars from Category X; the bottom row contains two exemplars from Ca...
Recent studies have suggested a profound influence of category learning on visual perception, result...
<p>The vertical line separating Category A and Category B represents the strategy that maximizes cat...
Examples of a subset of the test stimuli (Train, Near2, Far) seen by the Inconsistent group varying ...
<p>Representation of the five <i>object levels</i> used in the discrimination experiment. Each level...
<p>Case 4 simulations in which the category cells receive projections from input stripe cells of thr...
<p>Left: pre-training; right: post-training. We counted how often every stimulus was identified as o...
<p>Green traces denote distributions for category , whereas orange traces denote distributions for c...
Learning to categorize requires distinguishing category members from non-members by detecting the fe...