Developmental aContinuity in the Statistical Learning of Target Location Probability

다국어 초록 (Multilingual Abstract)

Regularities in the learning environment allow us to make predictions and guide behavior. Growing evidence of location probability learning (LPL) demonstrates that the statistical regularity of target locations affects spatial attention allocation. However, existing studies on LPL mostly focus on learning in adults. To achieve a comprehensive understanding of the mechanism of LPL, we investigated the effect of target location probability on visual search in children aged 5 to 9 years compared to adults. Both children and adults responded faster when the target appeared in the high probability “rich” quadrant than in the low probability “sparse” quadrants of the search space. Importantly, the magnitude of the bias was constant across participants of various ages and not dependent on individual differences in executive functions. These results provide novel evidence that implicit statistical learning of target locations occurs early in development and remains stable until early adulthood and this is a distinct developmental pattern from learning of explicit goal-driven spatial attention.

참고문헌 (Reference)

1 Couperus, J. W., "Visual search and contextual cueing: Differential effects in 10-year-old children and adults" 73 (73): 334-348, 2011

2 Vadillo, M. A., "Unconscious or underpowered? Probabilistic cuing of visual attention" 149 (149): 160-181, 2020

3 Hayes, N. A., "Two modes of learning for interactive tasks" 28 (28): 249-276, 1988

4 Hedge, C., "The reliability paradox : Why robust cognitive tasks do not produce reliable individual differences" 50 (50): 1166-1186, 2018

5 Friedman, N. P., "The relations among inhibition and interference control functions : A latentvariable analysis" 133 (133): 101-135, 2004

6 Reber, P. J., "The neural basis of implicit learning and memory : a review of neuropsychological and neuroimagingresearch" 51 (51): 2026-2042, 2013

7 Yang, Y., "The impact of signal-to-noise ratio on contextual cueing in children and adults" 132 : 65-83, 2015

8 Adler, S. A., "The eyes have it : Visual pop-out in infants and adults" 9 (9): 189-206, 2006

9 Amso, D., "The development of implicit learning from infancy to adulthood : Item frequencies, relations, and cognitive flexibility" 54 (54): 664-673, 2012

10 Brainard, D. H., "The Psychophysics Toolbox" 10 (10): 433-436, 1997

11 Jiang, Y. V., "Task specificity of attention training: the case of probability cuing" 77 (77): 50-66, 2015

12 Nosofsky, R. M., "Studies of implicit prototype extraction in patients with mild cognitive im- pairment and early Alzheimer’s disease. Journal of Experimental Psychology" 38 : 860-880, 2012

13 Wang, B., "Statistical regularities bias overt attention" 81 (81): 1813-1821, 2019

14 Aslin, R. N., "Statistical learning: a powerful mechanism that operates by mere exposure" 8 (8): 1-7, 2017

15 Won, B. -Y., "Spatial working memory interferes with explicit, but not probabilistic cuing of spatial attention" 41 (41): 787-806, 2015

16 Jiang, Y. V., "Selective attention modulates implicit learning" 54 (54): 1105-1124, 2001

17 Jiang, Y. V., "Rapid acquisition but slow extinction of an attentional bias in space" 39 (39): 87-99, 2013

18 Geng, J. J., "Probability cuing of target location facilitates visual search implicitly in normal participants and patients with hemispatial neglect" 13 (13): 520-525, 2002

19 Goschy, H., "Probability cueing of distractor locations : Both intertrial facilitation and statistical learning mediate interference reduction" 5 : 1-11, 2014

20 Schneegans, S., "Neural architecture for feature binding in visual working memory" 37 (37): 3913-3925, 2017

21 Sisk, C. A., "Mechanisms of contextual cueing: A tutorial review" 81 (81): 2571-2589, 2019

22 JASP Team, "JASP (Version 0.12.2) [Computer software]"

23 Poldrack, R. A., "Interactive memory systems in the human brain" 414 (414): 546-550, 2001

24 Sisk, C. A., "Implicitly-learned spatial attention is unimpaired in patients with Parkinson’s disease" 119 : 34-44, 2018

25 Janacsek, K., "Implicit sequence learning and working memory: Correlated or complicated?" 49 (49): 2001-2006, 2013

26 Bussy, G., "Implicit procedural learning in fragile X and Down syndrome" 55 (55): 521-528, 2011

27 Meulemans, T., "Implicit learning of complex information in amnesia" 52 : 250-257, 2003

28 Dienes, Z., "Implicit learning : Below the subjective threshold" 4 (4): 3-23, 1997

29 Atwell, J. A., "Implicit and explicit learning in young adults with mental retardation" 108 (108): 56-68, 2003

30 Reber, A. S., "Implicit Learning and Tacit Knowledge" 118 (118): 219-235, 1989

31 Cronbach, L. J., "How weshould measure “change”: Or should we?" 74 (74): 68-80, 1970

32 Manza, L., "How Implicit Is Implicit Learning?" Oxford University Press 73-106, 1997

33 Jiang, Y. V., "Habitual versus goal-driven attention" 102 : 107-120, 2018

34 Jiang, Y. V., "Guidance of spatial attention by incidental learning and endogenous cuing" 39 (39): 285-297, 2013

35 Faul, F., "G*Power 3 : A flexible statistical power analysis program for the social, behavioral, and biomedical sciences" 39 (39): 175-191, 2007

36 Jiang, Y. V., "First saccadic eye movement reveals persistent attentional guidance by implicit learning" 40 (40): 1161-1173, 2014

37 Thomas, K. M., "Evidence of developmental differences in implicit sequence learning : An fMRI study of children and adults" 16 (16): 1339-1351, 2004

38 Dixon, M. L., "Evidence for intact memoryguided attention in school-aged children" 13 (13): 161-169, 2010

39 Lookadoo, R., "Encouraging top-down attention in visual search: A developmental perspective" 79 (79): 2007-2020, 2017

40 Jiang, Y. V., "Directing attention based on incidental learning in children with autism spectrum disorder" 27 (27): 161-169, 2013

41 Klenberg, L., "Differential development of attention and executive functions in 3-to 12-year-old Finnish children" 20 (20): 407-428, 2001

42 Billingsley, R. L., "Developmental patterns in priming and familiarity in explicit recollection" 82 (82): 251-277, 2002

43 Finn, A. S., "Developmental dissociation between the maturation of procedural memory and declarative memory" 142 : 212-220, 2016

44 Vaidya, C. J., "Developmental Differences in Implicit Learning of Spatial Context" 21 (21): 497-506, 2007

45 Rueda, M. R., "Development of attentional networks in childhood" 42 (42): 1029-1040, 2004

46 Chun, M. M., "Contextual cueing : Implicit learning and memory of visual context guides spatial attention" 36 (36): 28-71, 1998

47 Drag, L. L., "Contemporary Review 2009 : Cognitive Aging" 23 (23): 75-93, 2010

48 Weintraub, S., "Cognition assessment using the NIH Toolbox" 80 (80): S54-S64, 2013

49 Pellicano, E., "Children with autism are neither systematic nor optimal foragers" 108 (108): 421-426, 2011

50 Carroll, M., "Autobiographical memory and perceptual learning : A developmental study using picture recognition, naming latency, and perceptual identification" 13 (13): 273-279, 1985

51 Curran, T., "Attentional and non-attentional forms of sequence learning" 19 (19): 189-202, 1993

52 Reber, P. J., "Artificial grammar learning in Alzheimer’s disease" 3 (3): 145-153, 2003

53 Cohen, J., "Applied multiple regression/correlation for the behavioral sciences" Lawrence Earlbaum 1983

54 Foster, J. J., "Alpha-band activity reveals spontaneous representations of spatialposition in visual working memory" 27 (27): 3216-3223, 2017

55 Twedell, E. L., "Aging affects the balance between goal-guided and habitual spatial attention" 24 (24): 1135-1141, 2017