Modeling unidimensional categorization in monkeys

Simon Farrell*, Roger Ratcliff, Anil Cherian, Mark Segraves

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)86-101
Number of pages16
JournalLearning and Behavior
Volume34
Issue number1
DOIs
StatePublished - Feb 2006

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Behavioral Neuroscience

Fingerprint Dive into the research topics of 'Modeling unidimensional categorization in monkeys'. Together they form a unique fingerprint.

Cite this