<p>Left: pre-training; right: post-training. We counted how often every stimulus was identified as object B. These proportions were averaged across participants. Then a cumulative Gaussian was fit to the data. From this sigmoidal function the PSE and JND can be retrieved. Participants categorize A and B correctly before training, but the morphed objects are perceived as a smooth transition. After training the curve is significantly steeper, indicating that training lead to a sharpened categorical boundary. The blue dotted lines indicate the locations on the shape continuum of the 25%, 50% and 75% categorization values. Error bars = SEM.</p
The aim of the study was to find out how humans learn to use informative features to categorise nove...
<p>Mean detection thresholds corresponding to 0.6 (top row) and 0.8 probabilities (bottom row), as a...
The objects that we observe in daily life are not generated by random processes. In general objects ...
<p>d’ before and after training at every object level (described in <a href="http://www.plosone.org/...
a, b, c) Experiment 1 Training results generally reflect direct CS/US associations, 1st-order positi...
<p>Results are shown for participants that learned the cued mappings (7 out of 12 participants). The...
<p>Psychophysical data (A) and fMRI responses obtained during the scanning sessions before (B) and a...
<p>Two animals fully trained in the categorization task learned two hitherto unknown categories (<i>...
<p>The top row shows the two prototypes A and B used to create all intervening objects. The second a...
<p>Experiment 1 (MDS) was designed to measure the perceptual uniformity of the space of stimuli used...
<p>Ratio of mean positional thresholds obtained on the first and last days, collapsed across conditi...
<p>The proportion of trials that the test grating was seen as more vertical is plotted against the p...
<p>Psychophysical data (A) and fMRI responses obtained during the scanning sessions before (B) and a...
<p>The proportion of trials that the test grating was seen as more vertical is plotted against the p...
Behavioral data analysis We fitted psychometric (proportion concentric) data collected in the lab wi...
The aim of the study was to find out how humans learn to use informative features to categorise nove...
<p>Mean detection thresholds corresponding to 0.6 (top row) and 0.8 probabilities (bottom row), as a...
The objects that we observe in daily life are not generated by random processes. In general objects ...
<p>d’ before and after training at every object level (described in <a href="http://www.plosone.org/...
a, b, c) Experiment 1 Training results generally reflect direct CS/US associations, 1st-order positi...
<p>Results are shown for participants that learned the cued mappings (7 out of 12 participants). The...
<p>Psychophysical data (A) and fMRI responses obtained during the scanning sessions before (B) and a...
<p>Two animals fully trained in the categorization task learned two hitherto unknown categories (<i>...
<p>The top row shows the two prototypes A and B used to create all intervening objects. The second a...
<p>Experiment 1 (MDS) was designed to measure the perceptual uniformity of the space of stimuli used...
<p>Ratio of mean positional thresholds obtained on the first and last days, collapsed across conditi...
<p>The proportion of trials that the test grating was seen as more vertical is plotted against the p...
<p>Psychophysical data (A) and fMRI responses obtained during the scanning sessions before (B) and a...
<p>The proportion of trials that the test grating was seen as more vertical is plotted against the p...
Behavioral data analysis We fitted psychometric (proportion concentric) data collected in the lab wi...
The aim of the study was to find out how humans learn to use informative features to categorise nove...
<p>Mean detection thresholds corresponding to 0.6 (top row) and 0.8 probabilities (bottom row), as a...
The objects that we observe in daily life are not generated by random processes. In general objects ...