Local redundancy governs infants' spontaneous orienting to visual-temporal sequences

Child Development

Volumn 84, Issue 4, 2013, Pages 1137-1144

  Addyman, Caspar ^a   Mareschal, Denis ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; ATTENTION; DISCRIMINATION LEARNING; EYE FIXATION; FEMALE; HUMAN; INFANT; LEARNING; MALE; ORIENTATION; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; RANDOMIZATION; TIME; VISION;

ANALYSIS OF VARIANCE; ATTENTION; DISCRIMINATION LEARNING; FEMALE; FIXATION, OCULAR; HUMANS; INFANT; MALE; ORIENTATION; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; RANDOM ALLOCATION; SERIAL LEARNING; TIME FACTORS; VISUAL PERCEPTION;

EID: 84880364952     PISSN: 00093920     EISSN: 14678624     Source Type: Journal    
DOI: 10.1111/cdev.12060     Document Type: Article

References (36)

1. Adler, S., & Haith, M. (2003). The nature of infants' visual expectations for event content. Infancy, 4, 389-421.
2. Aslin, R. N., Saffran, J. R., & Newport, E. L. (1998). Computation of conditional probability statistics by 8-month old infants. Psychological Science, 9, 321-324.
3. Brennan, W. M., Ames, E. W., & Moore, R. W. (1966). Age differences in infants' attention to patterns of different complexities. Science, 151, 354-356.
4. Brent, M. R., & Cartwright, T. A. (1996). Distributional regularity and phonotactic constraints are useful for segmentation. Cognition, 61, 93-125.
5. Bulf, H., Johnson, S. P., & Valenza, E. (2011). Visual statistical learning in the newborn infant. Cognition, 121, 127-132.
6. Chater, N. (1996). Reconciling simplicity and likelihood principles in perceptual organization. Psychological Review, 103, 566-581.
7. Chater, N., & Vitanyi, P. (2003). Simplicity: A unifying principle in cognitive science? Trends in Cognitive Sciences, 7, 19-22.
8. Cohen, L. B. (1972). Attention-getting and attention-holding processes of infant visual preferences. Child Development, 43, 869-879.
9. Elman, J. (1993). Learning and development in neural networks-The importance of starting small. Cognition, 48, 71-99.
10. Field, D. (1994). What is the goal of sensory coding? Neural Computation, 6, 559-601.
11. Fiser, F., & Aslin, R. (2002). Statistical learning of new visual feature combinations by infants. Proceedings of the National Academy of Sciences, 99, 15822-15826.
12. Frank, M., Goldwater, S., Griffiths, T., & Tenenbaum, J. (2010). Modeling human performance in statistical word segmentation. Cognition, 117, 107-125.
13. French, R. M., Addyman, C., & Mareschal, D. (2011). TRACX: A recognition-based connectionist framework for sequence segmentation and chunk extraction. Psychological Review, 118, 614-636.
14. Gómez, R., & Gerken, L. (1999). Artificial grammar learning by 1-year-olds leads to specific and abstract knowledge. Cognition, 70, 109-135.
15. Haith, M. (1993). Future-oriented processes in infancy, the case of visual expectations. In C. E. Granrud (Ed.), Visual perception and cognition in infancy, (pp. 235-264). Hillsdale, NJ, Erlbaum.
16. Haith, M., Adler, S., & Was, T. (1996). Time factors in infant expectation. Infant Behavior and Development, 19, 157/page.
17. Hsu, A. S., Chater, N., & Vitanyi, P. M. B. (2011). The probabilistic analysis of language acquisition: Theoretical, computational, and experimental analysis. Cognition, 120, 380-390.
18. Jamieson, R., & Mewhort, D. (2005). The influence of grammatical, local, and organizational redundancy on implicit learning: An analysis using information theory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 9-23.
19. Jusczyk, P., & Aslin, R. (1995). Infants' detection of sound patterns of words in fluent speech. Cognitive Psychology, 29, 1-23.
20. Jusczyk, P., & Thompson, E. (1978). Perception of a phonetic contrast in multisyllabic utterances by 2-month-old infants. Attention, Perception, & Psychophysics, 23, 105-109.
21. Kidd, C., Piantadosi, S. T., & Aslin, R. N. (2012). The Goldilocks effect: Human infants allocate attention to visual sequences that are neither too simple nor too complex. PLoS ONE, 7, e36399.
22. Kirkham, N. Z., Slemmer, J. A., & Johnson, S. P. (2002). Visual statistical learning in infancy: Evidence for a domain general learning mechanism. Cognition, 83, B35-B42.
23. Kirkham, N. Z., Slemmer, J. A., Richardson, D. C., & Johnson, S. P. (2007). Location, location, location: Development of spatiotemporal sequence learning in infancy. Child Development, 78, 1559-1571.
24. Marcus, G., Vijayan, S., Bandi Rao, S., & Vishton, P. (1999). Rule learning by seven-month-old infants. Science, 283, 77-80.
25. Pelucchi, B., Hay, J., & Saffran, J. (2009a). Learning in reverse: Eight-month-old infants track backward transitional probabilities. Cognition, 113, 244-247.
26. Pelucchi, B., Hay, J., & Saffran, J. (2009b). Statistical learning in a natural language by 8-month-old infants. Child Development, 80, 674-685.
27. Pothos, E. M. (2007). Theories of artificial grammar learning. Psychological Bulletin, 133, 227-244.
28. Pothos, E. (2010). An entropy model for artificial grammar learning. Frontiers in Psychology, 1, 1-13.
29. Robinson, C. W., & Sloutsky, V. M. (2007). Linguistic labels and categorization in infancy: Do labels facilitate or hinder? Infancy, 11, 233-253.
30. Saffran, J., Aslin, R., & Newport, E. (1996). Statistical learning by 8-month-old infants. Science, 274, 1926-1928.
31. Shannon, C., & Weaver, W. (1949). The mathematical theory of communication. Urbana: University of Illinois Press.
32. Son, J., Smith, L., & Goldstone, R. (2008). Simplicity and generalization: Short-cutting abstraction in children's object categorizations. Cognition, 108, 626-638.
33. Teinonen, T., Fellman, V., Näätänen, R., Alku, P., & Huotilainen, M. (2009). Statistical language learning in neonates revealed by event-related brain potentials. BMC Neuroscience, 10, 21-29.
34. Thiessen, E., Hill, E., & Saffran, J. (2005). Infant-directed speech facilitates word segmentation. Infancy, 7, 53-71.
35. Turkewitz, G., & Kenny, P. A. (1982). Limitations on input as a basis for neural organization and perceptual development: A preliminary theoretical statement. Developmental Psychobiology, 15, 357-368.
36. Venkataraman, A. (2001). A statistical model for word discovery in transcribed speech. Computational Linguistics, 27, 351-372.