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There are also discrepant findings regarding probabilistic category learning acquisition rate and performance in patients with schizophrenia.
This chapter describes and integrates a set of theoretical and empirical contributions to the psychology of human category learning.
These findings confirmed the important role of the fronto-parietal network and striatum in the invariance detection of category learning.
The classifier was tested against the component classifications by an expert with the data from a category learning task.
Category learning research has examined how with-in and between-category similarity affects the advantages of comparison.
Directions and advances that extend beyond TACL include: modes of category learning, item presentation conditions, types of categories, and measures of category representation.
Of most interest, before and after studying the exemplars, participants made category learning judgments (CLJs), which involved predicting the likelihood of correctly classifying novel birds into each family.
Although patients with schizophrenia display an overall probabilistic category learning performance deficit, the extent to which this deficit occurs in unaffected siblings of patients with schizophrenia is unknown.
The objects were designed so that for each category learning task, two features determined category membership whereas two other features were task irrelevant.
All 20 patients participated in the category learning experiments.
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However, occipitotemporal cortex is not the only brain region that has been implicated in object-category learning.
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CEO of Professional Science Editing for Scientists @ prosciediting.com