Learning, plasticity, and atypical generalization in children with autism

Psychonomic Bulletin and Review

Volumn 22, Issue 5, 2015, Pages 1342-1348

  Church, Barbara A ^a   Rice, Courtney L ^a   Dovgopoly, Alexander ^a   Lopata, Christopher J ^b   Thomeer, Marcus L ^b   Nelson, Andrew ^c   Mercado, Eduardo ^a  

^a UNIVERSITY AT BUFFALO   (United States)

^b CANISIUS COLLEGE   (United States)

^c UNIVERSITY AT BUFFALO   (United States)

Author keywords

Autism; Category learning; Neural network modeling; Perceptual learning

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ATTENTION; AUTISM; BRAIN CORTEX; CHILD; FEMALE; HUMAN; LEARNING; LEARNING DISORDER; MALE; NERVE CELL PLASTICITY; PATHOPHYSIOLOGY; PATTERN RECOGNITION; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; RECOGNITION;

ATTENTION; AUTISM SPECTRUM DISORDER; CEREBRAL CORTEX; CHILD; FEMALE; GENERALIZATION (PSYCHOLOGY); HUMANS; LEARNING DISORDERS; MALE; NEURAL NETWORKS (COMPUTER); NEURONAL PLASTICITY; PATTERN RECOGNITION, VISUAL; PRACTICE (PSYCHOLOGY); PSYCHOMOTOR PERFORMANCE; RECOGNITION (PSYCHOLOGY);

EID: 84942370752     PISSN: 10699384     EISSN: 15315320     Source Type: Journal    
DOI: 10.3758/s13423-014-0797-9     Document Type: Article

References (32)

1. Björne, P., & Balkenius, C. (2005). A model of attentional impairments in autism: First steps toward a computational theory. Cognitive Systems Research, 6, 193–204. doi:10.1016/j.cogsys.2004.11.003
2. Bott, L., Brock, J., Brockdorff, N., Boucher, J., & Lamberts, K. (2006). Perceptual similarity in autism. Quarterly Journal of Experimental Psychology, 59, 1237–1254. doi:10.1080/02724980543000196
3. Brown, J., Aczel, B., Jimenez, L., Kaufman, S. B., & Grant, K. P. (2010). Intact implicit learning in autism spectrum conditions. Quarterly Journal of Experimental Psychology, 63, 1789–1812. doi:10.1080/17470210903536910
4. Casanova, M. F., Buxhoeveden, D. P., Switala, A. E., & Roy, E. (2002). Minicolumnar pathology in autism. Neurology, 58, 428–432. doi:10.1212/wnl.58.3.428
5. Church, B. A., Krauss, M. S., Lopata, C., Toomey, J. A., Thomeer, M. L., Coutinho, M. V., & Mercado, E., III. (2010). Atypical categorization in children with high-functioning autism spectrum disorder. Psychonomic Bulletin & Review, 17, 862–868. doi:10.3758/PBR.17.6.862
6. Cohen, I. L. (1998). Neural network analysis of learning in autism. In D. Stein & J. Ludick (Eds.), Neural networks and psychopathology (pp. 274–315). Cambridge, U.K.: Cambridge University Press.
7. Dawson, M., Mottron, L., & Gernsbacher, M. A. (2008). Learning in autism. In J. Byrne & H. L. Roediger III (Eds.), Learning and memory: A comprehensive reference (Cognitive psychology, Vol. 2, pp. 759–772). Oxford, U.K.: Elsevier.
8. Donnellan, A. M., Hill, D. A., & Leary, M. R. (2013). Rethinking autism: Implications of sensory and movement differences for understanding and support. Frontiers in Integrative Neuroscience, 6, 124. doi:10.3389/fnint.2012.00124
9. Dovgopoly, A., & Mercado, E., III. (2013). A connectionist model of category learning by individuals with high-functioning autism spectrum disorder. Cognitive, Affective, & Behavioral Neuroscience, 13, 371–389. doi:10.3758/s13415-012-0148-0
10. Forster, K. L., & Forster, J. C. (2003). DMDX: A windows display program with millisecond accuracy. Behavior Research Methods, Instruments, & Computers, 35, 116–124. doi:10.3758/BF03195503
11. Froehlich, A. L., Anderson, J. S., Bigler, E. D., Miller, J. S., Lange, N. T., DuBray, M. B., & Lainhart, J. E. (2012). Intact prototype formation but impaired generalization in autism. Research in Autism Spectrum Disorders, 6, 921–930. doi:10.1016/j.rasd.2011.12.006
12. Gastgeb, H. Z., Dundas, E. M., Minshew, N. J., & Strauss, M. S. (2012). Category formation in autism: Can individuals with autism form categories and prototypes of dot patterns? Journal of Autism and Developmental Disorders, 42, 1694–1704. doi:10.1007/s10803-011-1411-x
13. Gastgeb, H. Z., Rump, K. M., Best, C. A., Minshew, N. J., & Strauss, M. S. (2009). Prototype formation in autism: Can individuals with autism abstract facial prototypes? Autism Research, 2, 279–284. doi:10.1002/aur.93
14. Hayes, B. K., & Taplin, J. E. (1993). Developmental differences in the use of prototype and exemplar-specific information. Journal of Experimental Child Psychology, 55, 329–352. doi:10.1006/jecp.1993.1019
15. Henderson, C., & McClelland, J. L. (2011). A PDP model of the simultaneous perception of multiple objects. Connection Science, 23, 161–172. doi:10.1080/09540091.2011.575931
16. Homa, D., Sterling, S., & Trepel, L. (1981). Limitations of exemplar-based generalization and the abstraction of categorical information. Journal of Experimental Psychology: Human Learning and Memory, 7, 418–439. doi:10.1037/0278-7393.7.6.418
17. Just, M. A., Cherkassky, V. L., Keller, T. A., & Minshew, N. J. (2004). Cortical activation and synchronization during sentence comprehension in high-functioning autism: Evidence of underconnectivity. Brain, 127, 1811–1821. doi:10.1093/brain/awh199
18. Kana, R. K., Libero, L. E., & Moore, M. S. (2011). Disrupted cortical connectivity theory as an explanatory model for autism spectrum disorders. Physics of Life Reviews, 8, 410–437. doi:10.1016/j.plrev.2011.10.001
19. Klinger, L. G., & Dawson, G. (2001). Prototype formation in autism. Developmental Psychopathology, 13, 111–124. doi:10.1017/S0954579401001080
20. Markram, K., & Markram, H. (2010). The intense world theory - A unifying theory of the neurobiology of autism. Frontiers in Human Neuroscience, 4, 224. doi:10.3389/fnhum.2010.00224
21. Molesworth, C. J., Bowler, D. M., & Hampton, J. A. (2005). The prototype effect in recognition memory: Intact in autism? Journal of Child Psychology and Psychiatry, 46, 661–672. doi:10.1111/j.1469-7610.2004.00383.x
22. Molesworth, C. J., Bowler, D. M., & Hampton, J. A. (2008). When prototypes are not best: Judgments made by children with autism. Journal of Autism and Developmental Disorders, 38, 1721–1730. doi:10.1007/s10803-008-0557-7
23. Mottron, L., & Burack, J. (2006). Autism: A different perception. Journal of Autism and Developmental Disorders, 36, 1–3. doi:10.1007/s10803-005-0048-z
24. O’Riordan, M., & Plaisted, K. (2001). Enhanced discrimination in autism. Quarterly Journal of Experimental Psychology. A, Human Experimental Psychology, 54, 961–979. doi:10.1080/713756000
25. Perry, L. K., Samuelson, L. K., Malloy, L. M., & Schiffer, R. N. (2010). Learn locally, think globally: Exemplar variability supports higher-order generalization and word learning. Psychological Science, 21, 1894–1902. doi:10.1177/0956797610389189
26. Plaisted, K., O’Riordan, M., & Baron-Cohen, S. (1998). Enhanced discrimination of novel, highly similar stimuli by adults with autism during a perceptual learning task. Journal of Child Psychology and Psychiatry, 39, 765–775. doi:10.1017/S0021963098002601
27. Quartz, S. R., & Sejnowski, T. J. (1997). The neural basis of cognitive development: A constructivist manifesto. Behavioral and Brain Sciences, 20, 537–556. doi:10.1017/s0140525x97001581
28. Rubenstein, J. L., & Merzenich, M. M. (2003). Model of autism: Increased ratio of excitation/inhibition in key neural systems. Genes, Brain and Behavior, 2, 255–267. doi:10.1046/j.1601-183X.2003.00037.x
29. Schipul, S. E. (2012). Neural mechanisms of implicit and explicit learning in autism. Unpublished doctoral dissertation, Carnegie Mellon Universty, Pittsburgh, PA.
30. Sears, L. L., Finn, P. R., & Steinmetz, J. E. (1994). Abnormal classical eye-blink conditioning in autism. Journal of Autism and Developmental Disorders, 24, 737–751. doi:10.1007/BF02172283
31. Soulières, I., Mottron, L., Giguère, G., & Larochelle, S. (2011). Category induction in autism: Slower, perhaps different, but certainly possible. Quarterly Journal of Experimental Psychology, 64, 311–327. doi:10.1080/17470218.2010.492994
32. Vladusich, T., Olu-Lafe, O., Kim, D. S., Tager-Flusberg, H., & Grossberg, S. (2010). Prototypical category learning in high-functioning autism. Autism Research, 3, 226–236. doi:10.1002/aur.148