» Articles » PMID: 20675027

Refining the Visual-cortical Hypothesis in Category Learning

Overview
Journal Brain Cogn
Specialties Neurology
Psychiatry
Date 2010 Aug 3
PMID 20675027
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Participants produce steep typicality gradients and large prototype-enhancement effects in dot-distortion category tasks, showing that in these tasks to-be-categorized items are compared to a prototypical representation that is the central tendency of the participant's exemplar experience. These prototype-abstraction processes have been ascribed to low-level mechanisms in primary visual cortex. Here we asked whether higher-level mechanisms in visual cortex can also sometimes support prototype abstraction. To do so, we compared dot-distortion performance when the stimuli were size constant (allowing some low-level repetition-familiarity to develop for similar shapes) or size variable (defeating repetition-familiarity effects). If prototype formation is only mediated by low-level mechanisms, stimulus-size variability should lessen prototype effects and flatten typicality gradients. Yet prototype effects and typicality gradients were the same under both conditions, whether participants learned the categories explicitly or implicitly and whether they received trial-by-trial reinforcement during transfer tests. These results broaden out the visual-cortical hypothesis because low-level visual areas, featuring retinotopic perceptual representations, would not support robust category learning or prototype-enhancement effects in an environment of pronounced variability in stimulus size. Therefore, higher-level cortical mechanisms evidently can also support prototype formation during categorization.

Citing Articles

An Eye-Tracking Study of Multiple Feature Value Category Structure Learning: The Role of Unique Features.

Liu Z, Song X, Seger C PLoS One. 2015; 10(8):e0135729.

PMID: 26274332 PMC: 4537098. DOI: 10.1371/journal.pone.0135729.


A parametric investigation of pattern separation processes in the medial temporal lobe.

Motley S, Kirwan C J Neurosci. 2012; 32(38):13076-85.

PMID: 22993425 PMC: 6621479. DOI: 10.1523/JNEUROSCI.5920-11.2012.


Perceptual fluency can be used as a cue for categorization decisions.

Miles S, Minda J Psychon Bull Rev. 2012; 19(4):737-42.

PMID: 22547197 DOI: 10.3758/s13423-012-0259-1.

References
1.
Erickson M, Kruschke J . Rules and exemplars in category learning. J Exp Psychol Gen. 1998; 127(2):107-40. DOI: 10.1037//0096-3445.127.2.107. View

2.
Reber P, Stark C, Squire L . Contrasting cortical activity associated with category memory and recognition memory. Learn Mem. 1999; 5(6):420-8. PMC: 311251. View

3.
Smith J, Beran M, Crossley M, Boomer J, Ashby F . Implicit and explicit category learning by macaques (Macaca mulatta) and humans (Homo sapiens). J Exp Psychol Anim Behav Process. 2010; 36(1):54-65. PMC: 2841782. DOI: 10.1037/a0015892. View

4.
Smith J, Minda J . Distinguishing prototype-based and exemplar-based processes in dot-pattern category learning. J Exp Psychol Learn Mem Cogn. 2002; 28(4):800-11. View

5.
Squire L, Ojemann J, Miezin F, Petersen S, Videen T, Raichle M . Activation of the hippocampus in normal humans: a functional anatomical study of memory. Proc Natl Acad Sci U S A. 1992; 89(5):1837-41. PMC: 48548. DOI: 10.1073/pnas.89.5.1837. View