The best time to acquire new skills: Age-related differences in implicit sequence learning across the human lifespan

Developmental Science

Volumn 15, Issue 4, 2012, Pages 496-505

  Janacsek, Karolina ^a   Fiser, József ^b   Nemeth, Dezso ^a  

^a UNIVERSITY OF SZEGED   (Hungary)

^b CENTRAL EUROPEAN UNIVERSITY   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGE; AGED; AGING; ANALYSIS OF VARIANCE; ARTICLE; CHILD; COGNITION; FEMALE; HUMAN; LEARNING; MALE; MIDDLE AGED; PHYSIOLOGY; PRESCHOOL CHILD; PROBABILITY; REACTION TIME; RECALL;

ADOLESCENT; ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; AGING; ANALYSIS OF VARIANCE; CHILD; CHILD, PRESCHOOL; COGNITION; FEMALE; HUMANS; LEARNING; MALE; MENTAL RECALL; MIDDLE AGED; PROBABILITY; REACTION TIME; YOUNG ADULT;

EID: 84862651034     PISSN: 1363755X     EISSN: 14677687     Source Type: Journal    
DOI: 10.1111/j.1467-7687.2012.01150.x     Document Type: Article

References (74)

1. Albouy, G., Sterpenich, V., Balteau, E., Vandewalle, G., Desseilles, M., Dang-Vu, T., Darsaud, A., Ruby, P., Luppi, P.H., Degueldre, C., Peigneux, P., Luxen, A., & Maquet, P. (2008). Both the hippocampus and striatum are involved in consolidation of motor sequence memory. Neuron, 58 (2), 261-272.
2. Aslin, R.N., Saffran, J.R., & Newport, E.L. (1998). Computation of conditional probability statistics by 8-month-old infants. Psychological Science, 9 (4), 321-324.
3. Barnes, K.A., Howard, J.H. Jr, Howard, D.V., Gilotty, L., Kenworthy, L., Gaillard, W.D., & Vaidya, C.J. (2008). Intact implicit learning of spatial context and temporal sequences in childhood autism spectrum disorder. Neuropsychology, 22 (5), 563-570.
4. Barnes, K.A., Howard, J.H. Jr, Howard, D.V., Kenealy, L., & Vaidya, C.J. (2010). Two forms of implicit learning in childhood ADHD. Developmental Neuropsychology, 35 (5), 494-505.
5. Bennett, I.J., Howard, J.H. Jr, & Howard, D.V. (2007). Age-related differences in implicit learning of subtle third-order sequential structure. Journal of Gerontology: Psychological Sciences, 62B (2), 98-103.
6. Bennett, I.J., Madden, D., Vaidya, C., Howard, J., & Howard, D. (2011). White matter integrity correlates of implicit sequence learning in healthy aging. Neurobiology of Aging, 32 (12), 2317. e1-2317.e12. doi:.
7. Blakemore, S.J., & Choudhury, S. (2006). Development of the adolescent brain: implications for executive function and social cognition. Journal of Child Psychology and Psychiatry and Allied Disciplines, 47 (3-4), 296-312.
8. Brown, R.M., & Robertson, E.M. (2007a). Inducing motor skill improvements with a declarative task. Nature Neuroscience, 10 (2), 148-149.
9. Brown, R.M., & Robertson, E.M. (2007b). Off-line processing: reciprocal interactions between declarative and procedural memories. Journal of Neuroscience, 27 (39), 10468-10475.
10. Burgess, P.W., Gilbert, S.J., & Dumontheil, I. (2007). Function and localization within rostral prefrontal cortex (area 10). Philosophical Transactions of the Royal Society B: Biological Sciences, 362 (1481), 887-899.
11. Christ, S.E., White, D.A., Mandernach, T., & Keys, B.A. (2001). Inhibitory control across the life span. Developmental Neuropsychology, 20 (3), 653-669.
12. Clohessy, A.B., Posner, M.I., & Rothbart, M.K. (2001). Development of the functional visual field. Acta Psychologica, 106 (1), 51-68.
13. Cohen, D., Pascual-Leone, A., Press, D., & Robertson, E. (2005). Off-line learning of motor skill memory: a double dissociation of goal and movement. Proceedings of the National Academy of Sciences, USA, 102 (50), 18237-18241.
14. Craik, F.I., & Bialystok, E. (2006). Cognition through the lifespan: mechanisms of change. Trends in Cognitive Sciences, 10 (3), 131-138.
15. Curran, T. (1997). Effects of aging on implicit sequence learning: accounting for sequence structure and explicit knowledge. Psychological Research, 60 (1-2), 24-41.
16. Daw, N.D., Niv, Y., & Dayan, P. (2005). Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control. Nature Neuroscience, 8 (12), 1704-1711.
17. Dennis, N., & Cabeza, R. (2011). Age-related dedifferentiation of learning systems: an fMRI study of implicit and explicit learning. Neurobiology of Aging., 32 (12), 2318.e17-2318.e30. doi:.
18. Der, G., & Deary, I.J. (2006). Age and sex differences in reaction time in adulthood: results from the United Kingdom Health and Lifestyle Survey. Psychology and Aging, 21 (1), 62-73.
19. Doyon, J., Bellec, P., Amsel, R., Penhune, V., Monchi, O., Carrier, J., Lehéricy, S., & Benali, H. (2009). Contributions of the basal ganglia and functionally related brain structures to motor learning. Behavioral Brain Research, 199 (1), 61-75.
20. Feeney, J.J., Howard, J.H., & Howard, D.V. (2002). Implicit learning of higher order sequences in middle age. Psychology and Aging, 17 (2), 351-355.
21. Filoteo, J.V., Lauritzen, S., & Maddox, W.T. (2010). Removing the frontal lobes. Psychological Science, 21 (3), 415-423.
22. Fiser, J., & Aslin, R.N. (2001). Unsupervised statistical learning of higher-order spatial structures from visual scenes. Psychological Science, 12 (6), 499-504.
23. Fiser, J., & Aslin, R.N. (2002). Statistical learning of new visual feature combinations by infants. Proceedings of the National Academy of Sciences, USA, 99 (24), 15822-15826. doi:.
24. Fletcher, J., Maybery, M.T., & Bennett, S. (2000). Implicit learning differences: a question of developmental level? Journal of Experimental Psychology: Learning, Memory, and Cognition, 26 (1), 246-252.
25. Foerde, K., Knowlton, B.J., & Poldrack, R.A. (2006). Modulation of competing memory systems by distraction. Proceedings of the National Academy of Sciences, USA, 103 (31), 11778-11783.
26. Frank, M.J., O'Reilly, R.C., & Curran, T. (2006). When memory fails, intuition reigns: midazolam enhances implicit inference in humans. Psychological Science, 17 (8), 700-707.
27. Frensch, P.A., & Miner, C.S. (1994). Effects of presentation rate and individual differences in short-term memory capacity on an indirect measure of serial learning. Memory and Cognition, 22 (1), 95-110.
28. Gaillard, V., Destrebecqz, A., Michiels, S., & Cleeremans, A. (2009). Effects of age and practice in sequence learning: a graded account of ageing, learning, and control. European Journal of Cognitive Psychology, 21 (2), 255-282.
29. Giedd, J.N., Blumenthal, J., Jeffries, N.O., Castellanos, F.X., Liu, H., Zijdenbos, A., Paus, T., Evans, A.C., & Rapoport, J.L. (1999). Brain development during childhood and adolescence: a longitudinal MRI study. Nature Neuroscience, 2 (10), 861-863.
30. Giorgio, A., Santelli, L., Tomassini, V., Bosnell, R., Smith, S., De Stefano, N., & Johansen-Berg, H. (2010). Age-related changes in grey and white matter structure throughout adulthood. NeuroImage, 51 (3), 943-951.
31. Gomez, R.L., & Gerken, L. (1999). Artificial grammar learning by 1-year-olds leads to specific and abstract knowledge. Cognition, 70 (2), 109-135.
32. Henke, K. (2010). A model for memory systems based on processing modes rather than consciousness. Nature Reviews Neuroscience, 11, 523-532.
33. Hikosaka, O., Nakahara, H., Rand, M.K., Sakai, K., Lu, X., Nakamura, K., Miyachi, S., & Doya, K. (1999). Parallel neural networks for learning sequential procedures. Trends in Neurosciences, 22 (10), 464-471.
34. Hikosaka, O., Nakamura, K., Sakai, K., & Nakahara, H. (2002). Central mechanisms of motor skill learning. Current Opinion in Neurobiology, 12 (2), 217-222.
35. Howard, D.V., & Howard, J.H. Jr. (1989). Age differences in learning serial patterns: direct versus indirect measures. Psychology and Aging, 4 (3), 357-364.
36. Howard, D.V., & Howard, J.H. (1992). Adult age differences in the rate of learning serial patterns: evidence from direct and indirect tests. Psychology and Aging, 7 (2), 232-241.
37. Howard, D.V., Howard, J.H. Jr, Japikse, K., DiYanni, C., Thompson, A., & Somberg, R. (2004). Implicit sequence learning: effects of level of structure, adult age, and extended practice. Psychology and Aging, 19 (1), 79-92.
38. Howard, J.H. Jr, & Howard, D.V. (1997). Age differences in implicit learning of higher-order dependencies in serial patterns. Psychology and Aging, 12 (4), 634-656.
39. Hultsch, D.F., MacDonald, S.W.S., Hunter, M.A., Levy-Bencheton, J., & Strauss, E. (2000). Intraindividual variability in cognitive performance in older adults: comparison of adults with mild dementia, adults with arthritis, and healthy adults. Neuropsychology, 14 (4), 588-598.
40. Hunt, R.H., & Aslin, R.N. (2001). Statistical learning in a serial reaction time task: access to separable statistical cues by individual learners. Journal of Experimental Psychology: General, 130 (4), 658-680.
41. Keele, S.W., Ivry, R., Mayr, U., Hazeltine, E., & Heuer, H. (2003). The cognitive and neural architecture of sequence representation. Psychological Review, 110 (2), 316-339.
42. Kirkham, N., Slemmer, J., Richardson, D., & Johnson, S. (2007). Location, location, location: development of spatiotemporal sequence learning in infancy. Child Development, 78 (5), 1559-1571.
43. Lieberman, M.D. (2000). Intuition: a social cognitive neuroscience approach. Psychological Bulletin, 126 (1), 109-137.
44. Marcus, G.F., Vijayan, S., Rao, S.B., & Vishton, P.M. (1999). Rule learning by seven-month-old infants. Science, 283, 77-80.
45. Maybery, M., Taylor, M., & O'Brien-Malone, A. (1995). Implicit learning: sensitive to age but not IQ. Australian Journal of Psychology, 47 (1), 8-17.
46. Meulemans, T., Van der Linden, M., & Perruchet, P. (1998). Implicit sequence learning in children. Journal of Experimental Child Psychology, 69 (3), 199-221.
47. Nemeth, D., Janacsek, K., Balogh, V., Londe, Z., Mingesz, R., Fazekas, M., Jámbori, S., Danyi, I., & Vetró, A. (2010a). Learning in autism: implicitly superb. PLoS ONE, 5 (7), e11731.
48. Nemeth, D., Janacsek, K., Londe, Z., Ullman, M.T., Howard, D., & Howard, J. (2010b). Sleep has no critical role in implicit motor sequence learning in young and old adults. Experimental Brain Research, 201 (2), 351-358. doi:.
49. Nissen, M.J., & Bullemer, P. (1987). Attentional requirements of learning: evidence from performance measures. Cognitive Psychology, 19, 1-32.
50. Orban, G., Fiser, J., Aslin, R.N., & Lengyel, M. (2008). Bayesian learning of visual chunks by human observers. Proceedings of the National Academy of Sciences, USA, 105 (7), 2745-2750.
51. Perruchet, P., & Pacton, S. (2006). Implicit learning and statistical learning: one phenomenon, two approaches. Trends in Cognitive Sciences, 10 (5), 233-238.
52. Poldrack, R.A., Sabb, F.W., Foerde, K., Tom, S.M., Asarnow, R.F., Bookheimer, S.Y., & Knowlton, B.J. (2005). The neural correlates of motor skill automaticity. Journal of Neuroscience, 25, 5356-5364.
53. Prinzmetal, W., McCool, C., & Park, S. (2005). Attention: reaction time and accuracy reveal different mechanisms. Journal of Experimental Psychology: General, 134 (1), 73-92.
54. Rabbitt, P., Osman, P., Moore, B., & Stollery, B. (2001). There are stable individual differences in performance variability, both from moment to moment and from day to day. Quarterly Journal of Experimental Psychology Section A, 54 (4), 981-1003.
55. Reber, A.R. (1993). Implicit learning and tacit knowledge: An essay on the cognitive unconscious (Vol. 19). New York: Oxford University Press.
56. Remillard, G. (2008). Implicit learning of second-, third-, and fourth-order adjacent and nonadjacent sequential dependencies. Quarterly Journal of Experimental Psychology, 61 (3), 400-424.
57. Rieckmann, A., Fischer, H., & Bäckman, L. (2010). Activation in striatum and medial temporal lobe during sequence learning in younger and older adults: relations to performance. NeuroImage, 50 (3), 1303-1312.
58. Saffran, J.R., Aslin, R.N., & Newport, E.L. (1996). Statistical learning by 8-month-old infants. Science, 274, 1926-1928.
59. Saffran, J.R., Johnson, E.K., Aslin, R.N., & Newport, E.L. (1999). Statistical learning of tone sequences by human infants and adults. Cognition, 70 (1), 27-52. doi: S0010-0277(98)00075-4.
60. Salthouse, T.A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103 (3), 403-428.
61. Sanger, T.D. (2010). Controlling variability. Journal of Motor Behavior, 42 (6), 401-407.
62. Schendan, H., Searl, M., Melrose, R., & Stern, C. (2003). An FMRI study of the role of the medial temporal lobe in implicit and explicit sequence learning. Neuron, 37 (6), 1013-1025.
63. Slifkin, A.B., & Newell, K.M. (1998). Is variability in human performance a reflection of system noise? Current Directions in Psychological Science, 7 (6), 170-177.
64. Slifkin, A.B., & Newell, K.M. (1999). Noise, information transmission, and force variability. Journal of Experimental Psychology: Human Perception and Performance, 25 (3), 837-851.
65. Soetens, E., Melis, A., & Notebaert, W. (2004). Sequence learning and sequential effects. Psychological Research, 69 (1), 124-137.
66. Song, S., Howard, J.H. Jr, & Howard, D.V. (2007). Sleep does not benefit probabilistic motor sequence learning. Journal of Neuroscience, 27 (46), 12475-12483.
67. Squire, L.R., & Zola, S.M. (1996). Structure and function of declarative and nondeclarative memory systems. Proceedings of the National Academy of Sciences, USA, 93, 13515-13522.
68. Tenenbaum, J.B., Kemp, C., Griffiths, T.L., & Goodman, N.D. (2011). How to grow a mind: statistics, structure, and abstraction. Science, 331 (6022), 1279-1285.
69. Thomas, K.M., Hunt, R.H., Vizueta, N., Sommer, T., Durston, S., Yang, Y., & Worden, M.S. (2004). Evidence of developmental differences in implicit sequence learning: an fMRI study of children and adults. Journal of Cognitive Neuroscience, 16 (8), 1339-1351.
70. Tulving, E., & Craik, F.I.M. (Eds.) (2000). The Oxford handbook of memory. Oxford: Oxford University Press.
71. Turner, E.C., & Brainard, M.S. (2007). Performance variability enables adaptive plasticity of'crystallized'adult birdsong. Nature, 450 (7173), 1240-1244.
72. Ullman, M.T. (2001). A neurocognitive perspective on language: the declarative/procedural model. Nature Reviews Neuroscience, 2, 717-726.
73. Vinter, A., & Perruchet, P. (2000). Implicit learning in children is not related to age: evidence from drawing behavior. Child Development, 71 (5), 1223-1240.
74. Yap, M.J., Balota, D.A., Sibley, D.E., & Ratcliff, R. (2012). Individual differences in visual word recognition: insights from the English Lexicon Project. Journal of Experimental Psychology. Human Perception and Performance., 38 (1), 53-79. doi:.