Experimental Psychology (Russia)
2021. Vol. 14, no. 1, 108–121
doi:10.17759/exppsy.2021140104
ISSN: 2072-7593 / 2311-7036 (online)
Implicit Learning of the Time Interval Sequence
Abstract
General Information
Keywords: implicit learning, sequence learning, temporal sequences
Journal rubric: Cognitive Psychology
DOI: https://doi.org/10.17759/exppsy.2021140104
Funding. The reported study was funded by Russian Foundation for Basic Research (RFBR), project number 19-013-00103
For citation: Agafonov A.Y., Fomicheva A.D., Starostin G.A., Kryukova A.P. Implicit Learning of the Time Interval Sequence. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2021. Vol. 14, no. 1, pp. 108–121. DOI: 10.17759/exppsy.2021140104. (In Russ., аbstr. in Engl.)
References
- Agafonov A.Y., Burmistrov S.N., Kozlov D.D., Kryukova A.P. Implicitnoye vyuchivaniye kombinirovannyh posledovatel’nostey [Implicit Learning of Combined Sequences]. Integratciya obrazovaniya [Intagration of education]. 2018. Vol. 22. № 2. Pp. 340—353. DOI: 10.15507/1991-9468.091.022.201802.340-353 (In Russ.).
- Agafonov A.Y., Deeva T.M., Shilov Y.E. Implicitnoye usvoyeniye kategorial’nyih posledovatel’nostey [Implicit acquisition of categorical sequences]. Kognitivniye issledovaniya na sovremennom etape: materialy Vserossiyskoy konferentcii s megdunarodnym uchastiyem po kognitivnoy nauke 19—22 noyabrya 2018. — Electronniye tekstoviye danniye. Arkhangel’sk: SAFU [Cognitive research at the present stage: materials of the All-Russian conference with international participation in cognitive science November 19—22, 2018]. Electronic text data. Arkhangelsk: NAFU. 2018. Pp. 9—11. URL: https://narfu.ru/upload/medialibrary/ec1/Sbornik- KISE_2018-_isbn_-.pdf#page=10 (Accessed 04.03.2019). (In Russ.).
- Kryukova A.P. Agafonov A.Y., Burmistrov S.N., Kozlov D.D., Shilov Y.E. Effect perenosa implicitnogo znaniya na sensomotornuyu deyatelnoct’ [Effect of transfer of implicit knowledge of artificial grammar under sensorimotor activity]. Eksperimental’naya psikhologiya [Experimental psychology], 2018. Vol. 11. No. 3. Pp. 63—77. doi:10.17759/exppsy.2018110305. (In Russ.).
- Moroshkina N.V. Vliyaniye konflikta implicitnich i explicitnich znanij subyecta na resul’tati naucheniya v zadache klassificatsii [Influence of the conflict of implicit and explicit knowledge of a subject on the results of learning process in classification task]. Eksperimental’naya psikhologiya [Experimental psychology]. 2013. Vol. 6. No. 3. Pp. 62—73. (In Russ.).
- Moroshkina N.V., Ivanchei I.I. Implicitnoe naucheniye: issledovaniye sootnosheniya osoznavayemich i neosoznavayemich processov v kognitivnoi psychologii [Implicit learning: a study of the relation of perceived and unconscious processes in cognitive psychology]. Metodologiya i istoriya psychologii [Metodology and history of psychology]. 2012. Vol. 6. No. 4. Pp. 109—131. (In Russ.).
- Chetverikov A. Lineiniye modeli so smeshannimi effectami v kognitivnich issledovaniyach [Linear Mixed Effects Regression in Cognitive Studies]. Rossiyskiy jurnal kognitivnoi nauki [The Russian Journal of Cognitive Science]. 2015. Vol. 2. No 1. Pp. 41 — 51. (In Russ.).
- Burmistrov S.N., Kryukova A.P., Agafonova S.V. Explicitniye i implicitniye processyi: effectyi interferentcii pri reshenii zadach raznogo tipa [Explicit and implicit processes: effects of an interference at problem solving of different types]. Izvestiya Samarskogo nauchnogo tsentra Rossiyskoy akademii nauk. Sotsial’nyye, gumanitarnyye, mediko-biologicheskiye nauki [Izvestiya of the Samara Science Centre of the Russian Academy of Sciences. Social, humanitarian, medicobiological sciences]. 2017. Vol. 19. № 2. Pp. 33— 37. (In Russ.).
- Bates D., Maechler M., Bolker B., Walker S. Fitting Linear Mixed-Effects Models Using lme4// Journal of Statistical Software. 2015. Vol. 67(1). Pp. 1—48. doi:10.18637 / jss.v067.i01
- Cleeremans A., Destrebecqz A., Boyer M. Implicit learning: news from the front // Trends in Cognitive Sciences. 1998. Vol. 2. № 10. Pp. 406—416. DOI: https://doi.org/10.1016/S1364-6613(98)01232-7
- Cohen. A., Ivry R.I., Keele S.W. Attention and structure in sequence learning // Journal of Experimental psychology: Learning, Memory, and Cognition. 1990. Vol. 16. No. 1. Pp. 17—30. DOI: https://doi. org/10.1037/0278-7393.16.1.17
- Deroost N., Soetens E. Perceptual or motor learning in SRT tasks with complex sequence structures // Psychological research. 2006. Vol. 70. No. 2. Pp. 88—102. DOI: 10.1007/s00426-004-0196-3
- Destrebecqz A., Cleeremans A. Temporal effects in sequence learning // Advances in Consciousness Research. 2003. Vol. 48. Pp. 181—214.
- Gheysen F., Gevers W., Schutter E.D., Wealvelde H.V., Fias W. Disentangling perceptual from motor implicit sequence learning with a serial color-matching task // Experimental Brain Research. 2009. Vol. 197. Pp. 163—174. DOI 10.1007/s00221-009-1902-6
- Heuer H., Schmidtke V., Kleinsorge T. Implicit learning of sequences of tasks // Journal of Experimental Psychology: Learning, Memory, and Cognition. 2001. Vol. 27 (4). Pp. 967—983. DOI: 10.1037//0278- 7393.27.4.967
- Huang H.X., Zhang J.X., Liu D.Z., Li Y.L., Wang P. Implicit Sequence Learning of Background and Goal Information Under Double Dimensions // Procedia-Social and Behavioral Sciences. 2014. Vol. 116. Pp. 2989—2993. DOI: 10.1016/j.sbspro.2014.01.694
- Kuznetsova A., Brockhoff P., Christensen R. lmerTest Package: Tests in Linear Mixed Effects Models // Journal of Statistical Software. 2017. Vol. 82(13). Pp. 1—26. doi: 10.18637/jss.v082.i13
- Mayr U. Spatial Attention and Implicit Sequence Learning: Evidence for Independent Learning of Spatial and Nonspatial Sequences // Journal of Experimental Psychology: Learning, Memory, and Cognition. 1996. Vol. 22, No. 2. Pp. 350—364. DOI: https://doi.org/10.1037/0278-7393.22.2.350.
- Nissen M.J., Bullemer P. Attentional requirements of learning: Evidence from performance measure // Cognitive psychology. 1987. Vol. 19. No. 1. Pp. 1—32. DOI: 10.1016/0010-0285(87)90002-8
- Olson I.R., Chun M.M. Temporal Contextual Cuing of Visual Attention // Journal of Experimental Psychology: Learning, Memory, and Cognition. 2001. Vol. 27. No. 5. Pp. 1299—1313. DOI: 10.1037//0278- 7393.27.5.1299
- R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.R-project.org
- Remillard G. Pure perceptual-based sequence learning // Journal of Experimental Psychology: Learning, Memory, and Cognition. 2003. Vol 29. No. 4. Pp. 581—597. DOI: https://doi.org/10.1037/0278-7393.29.4.581
- RStudio Team (2016). RStudio: Integrated Development for R. RStudio, Inc., Boston, MA URL http:// www.rstudio.com.
- Seger C. A. Implicit learning // Psychological Bulletin. 1994. Vol. 115. № 2. Pp. 163—196. DOI: https:// doi.org/10.1037/0033-2909.115.2.163
- Shin J., Ivry R. Concurrent learning of temporal and spatial sequences // Journal of Experimental Psychology: Learning, Memory, and Cognition. 2003. Vol. 28. No 3. Pp. 445—457. DOI: 10.1037//0278- 7393.28.3.445
- Stadler M.A. On learning complex procedural knowledge // Journal of Experimental Psychology: Learning, Memory, and Cognition. 1989. Vol. 15. No. 6. Pp. 1061—1069. DOI: https://doi.org/10.1037/0278- 7393.15.6.1061
- Willingham D.B., Nissen M.J., Bullemer P. On the development of procedural knowledge // Journal of experimental psychology: Learning, Memory, and Cognition. 1989. Vol. 15. No. 6. Pp. 1047—1060. DOI: https://doi.org/10.1037/0278-7393.15.6.1047
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