Mere exposure alters category learning of novel objects

Frontiers in Psychology

Volumn , Issue AUG, 2010, Pages

  Folstein, Jonathan R ^a   Gauthier, Isabel ^a   Palmeri, Thomas J ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Category learning; Classification learning; Cognition; Mere exposure; Rule learning; Statistical learning; Unsupervised learning; Visual categorization

Indexed keywords

EID: 84865110442     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2010.00040     Document Type: Article

References (20)

1. Ashby, F. G., Queller, S., and Berretty, P. M. (1999). On the dominance of unidimensional rules in unsupervised categorization. Percept. Psychophys. 61, 1178-1199.
2. Clapper, J. P., and Bower, G. H. (1994). Category invention in unsupervised learning. J. Exp. Psychol. Learn. Mem. Cogn. 20, 443-460.
3. Conroy, M. A., Hopkins, R. O., and Squire, L. R. (2005). On the contribution of perceptual fluency and priming to recognition memory. Cogn. Affect. Behav. Neurosci. 5, 14-20.
4. Fiser, J., and Aslin, R. N. (2001). Unsupervised statistical learning of higher-order spatial structures from visual scenes. Psychol. Sci. 12, 499-504.
5. Gibson, J. J., and Gibson, E. J. (1955). Perceptual learning: differentiation or enrichment? Psychol. Rev. 62, 32-41.
6. Goldstone, R. L. (2000). Unitization during category learning. J. Exp. Psychol. Hum. Percept. Perform. 26, 86-112.
7. Goldstone, R. L., and Steyvers, M. (2001). The sensitization and differentiation of dimensions during category learning. J. Exp. Psychol. Gen. 130, 116-139.
8. Graf Estes, K., Evans, J. L., Alibali, M. W., and Saffran, J. R. (2007). Can infants map meaning to newly segmented words? Statistical segmentation and word learning. Psychol. Sci. 18, 254-260.
9. Knowlton, B. J., and Squire, L. R. (1993). The learning of categories: parallel brain systems for item memory and category knowledge. Science 262, 1747-1749.
10. Knowlton, B. J., and Squire, L. R. (1996). Artificial grammar learning depends on implicit acquisition of both abstract and exemplar-specific information. J. Exp. Psychol. Learn. Mem. Cogn. 22, 169-181.
11. Lany, J., and Gomez, R. L. (2008). Twelve-month-old infants benefit from prior experience in statistical learning. Psychol. Sci. 19, 1247-1252.
12. McLaren, I. P., Kaye, H., and Mackintosh, N. J. (1989). "An associative theory of the representation of stimuli: applications to perceptual learning and latent inhibition," in Parallel Distributed Processing: Implications for Psychology and Neurobiology, ed. R. G. M. Morris (Oxford: Oxford University Press). 103-130.
13. McLaren, I. P., and Mackintosh, N. J. (2000). An elemental model ofassociative learning: I. Latent inhibition and perceptual learning. Anim. Learn. Behav. 28, 211-246.
14. Nosofsky, R. M., Palmeri, T. J., and McKinley, S. C. (1994). Rule-plus-exception model of classification learning. Psychol. Rev. 101, 53-79.
15. Orban, G., Fiser, J., Aslin, R. N., and Lengyel, M. (2008). Bayesian learning of visual chunks by human observers. Proc. Natl. Acad. Sci. U.S.A. 105, 2745-2750.
16. Palmeri, T. J., and Flanery, M. A. (2002). "Memory systems and perceptual categorization," in The Psychology of Learning and Motivation, Vol. 41, ed. B. H. Ross (New York, NY: Academic Press). 141-189.
17. Saffran, J. R., Aslin, R. N., and Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science 274, 1926-1928.
18. Saffran, J. R., Johnson, E. K., Aslin, R. N., and Newport, E. L. (1999). Statistical learning of tone sequences by human infants and adults. Cognition 70, 27-52.
19. Schyns, P. G., and Rodet, L. (1997). Categorization creates functional features. J. Exp. Psychol. Learn. Mem. Cogn. 23, 681-696.
20. Wills, A. J., Suret, M., and McLaren, I. P. (2004). Brief communication: the roleof category structure in determining the effects of stimulus preexposure on categorization accuracy. Q. J. Exp. Psychol. B 57, 79-88.