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Learning & Behavior
Article . 2006 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Modeling unidimensional categorization in monkeys

Authors: Farrell, SA; Ratcliff, R; Cherian, A; Segraves, M;

Modeling unidimensional categorization in monkeys

Abstract

The categorization performance of monkeys on a unidimensional perceptual categorization task was examined with reference to decision bound and exemplar theories of categorization. Three rhesus monkeys were presented with stimuli varying along a single dimension, the displacement of a target light from a fixation point. Left or right saccade responses were probabilistically reinforced according to one of three functions, two of which were nonmonotonic at one end of the stimulus space. The monkeys all showed a monotonic increase in response probability as a function of target light displacement in this region, consistent with decision bound theory. Fits of a single-boundary model (GRT, Ashby & Gott, 1988) and two exemplar models--one using a probabilistic response function (GCM; Nosofsky, 1986), the other using a deterministic response function (DEM; Ashby & Maddox, 1993)--revealed overall support for the decision bound model. The results suggest that monkeys used a perceptual decision boundary to perform the task.

Country
United Kingdom
Related Organizations
Keywords

Models, Statistical, Decision Making, 150, Saccades, Visual Perception, Animals, Female, Fixation, Ocular, Visual Fields, Macaca mulatta

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
bronze