Evidence for parallel explicit and implicit sequence learning systems in older adults

Behavioural Brain Research

Volumn 196, Issue 2, 2009, Pages 328-332

  Song, Sunbin ^a   Marks, Brynn ^a   Howard Jr , James H ^a,b   Howard, Darlene V ^a  

^a GEORGETOWN UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b CATHOLIC UNIVERSITY OF AMERICA   (United States)

Author keywords

Aging; Declarative; Explicit; Implicit; Procedural; Sequence learning

Indexed keywords

AGED; AGING; ARTICLE; CLINICAL ARTICLE; EXPLICIT MEMORY; FEMALE; HUMAN; IMPLICIT MEMORY; LEARNING; MALE; PRIORITY JOURNAL; REACTION TIME;

AGED; AGED, 80 AND OVER; AGING; COGNITION; CUES; FEMALE; HUMANS; MALE; PSYCHOMOTOR PERFORMANCE; REACTION TIME; SERIAL LEARNING;

EID: 57549083635     PISSN: 01664328     EISSN: 18727549     Source Type: Journal    
DOI: 10.1016/j.bbr.2008.09.022     Document Type: Article

References (15)

1. Fletcher P.C., et al. On the benefits of not trying: brain activity and connectivity reflecting the interactions of explicit and implicit sequence learning. Cerebral Cortex 15 (2004) 1002-1015
2. Boyd L., and Winstein C. Providing explicit information disrupts implicit motor learning after basal ganglia stroke. Learning and Memory 11 (2004) 388-396
3. Boyd L., and Winstein C. Explicit information interferes with implicit motor learning of both continuous and discrete movement tasks after stroke. Journal of Neurologic Physical Therapy 30 (2006) 46-57
4. Howard D.V., and Howard Jr. J.H. When it does hurt to try: adult age differences in the effects of instructions on implicit pattern learning. Psychonomic Bulletin & Review 8 (2001) 798-805
5. Poldrack R.A., et al. Interactive memory systems in the human brain. Nature 414 6863 (2001) 546-550
6. Frensch P.A., and Miner C.S. Effects of presentation rate and individual differences in short-term memory capacity on an indirect measure of serial learning. Memory and Cognition 22 (1994) 95-110
7. Keele S.W., et al. The cognitive and neural architecture of sequence representation. Psychological Review 110 2 (2003) 316-339
8. Willingham D.B., and Goedert-Eschmann K. The relation between implicit and explicit learning: evidence for parallel development. Psychological Science 10 (1999) 531-534
9. Willingham D.B., Salidis J., and Gabrieli J.D. Direct comparison of neural systems mediating conscious and unconscious skill learning. Journal of Neurophysiology 88 (2002) 1451-1460
10. Brown R.M., and Robertson E.M. Off-line processing: reciprocal interactions between declarative and procedural memories. Journal of Neuroscience 27 (2007) 10468-10475
11. Unsworth N., and Engle R.W. Individual differences in working memory capacity and learning: evidence from the serial reaction time task. Memory and Cognition 33 (2005) 213-220
12. Song S., Howard Jr. J.H., and Howard D.V. Implicit probabilistic sequence learning is independent of explicit awareness. Learning and Memory 14 (2007) 167-176
13. Howard Jr. J.H., and Howard D.V. Age differences in implicit learning of higher order dependencies in serial patterns. Psychology and Aging 12 (1997) 634-656
14. Howard D.V., et al. Implicit sequence learning: effects of level of structure, adult age, and extended practice. Psychology and Aging 19 (2004) 79-92
15. Song S., Howard Jr. J.H., and Howard D.V. Perceptual sequence learning in a serial reaction time task. Experimental Brain Research 189 2 (2008) 145-158