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Performance of Series of Movements Specified by a Sequence of Sensory Signals. Individual Differences at the Initial State of Sequence Learning

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Individual characteristics of the initial stage of sequence learning were studied in a task consisting of reproducing a sequence of movements specified by a sequence of visual stimuli. A total of 20 adult subjects took part in the study; along with the sequence reproduction task, the subjects performed a simple visuomotor reaction, a selection task, and a serial choice response task. Individual relationships between the latent period of performing the sequence and the trial number, i.e., the learning curve, had a characteristic feature: decreases in latent periods, if observed, occurred either rapidly during the first 10 trials to reach a stationary level (the rapid phase) or decreased slowly and essentially linearly throughout the entire block of 60 trials (the slow phase). Individual learning curves were of four types: flat relationships, curves with a rapid phase, curves with a slow phase, and curves in which a rapid phase was followed by a slow phase. The learning curves of all the subjects were thus divided into four groups. Correlation structures of the time parameters (latent periods and durations of intervals between movements) were studied within groups and in terms of the ratios of these parameters with the times taken to perform simple visuomotor reactions, choice reaction times, and the extent of learning in the sequence reaction time task. This analysis revealed significant differences between groups of subjects, indicative of significant functional differences between the groups. It is suggested that individual differences at the initial stage of sequence learning depend mainly on the functional and structural complexity of the internal representation of the sequence, as well as by the working memory processes supporting the identification of a specified sequence of visual stimuli and performing the transformation of abstract representations into sequences of motor commands.

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References

  1. N. A. Bernshtein, The Construction of Memory [in Russian], Medgiz, Moscow (1947).

    Google Scholar 

  2. A. Baddeley, “Working memory: looking back and looking forward,” Nat. Rev. Neurosci., 4, 829–839 (2003).

    Article  CAS  PubMed  Google Scholar 

  3. R. S. Bapi, K. P. Miyapuram, F. X. Graydon, and K. Doya, “fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences,” Neuroimage, 32, No. 2, 714–727 (2006).

    Article  PubMed  Google Scholar 

  4. R. S. Bapi, V. S. C. Pammi, K. P. Miyapuram, and A. Ahmed, “Investigation of sequence processing: A cognitive and computational neuroscience perspective,” Curr. Sci., 89, No. 10, 1690–1698 (2005).

    Google Scholar 

  5. L. S. Beilock and T. H. Carr, “From novice to expert performance. Memory, attention and the control of complex sensorimotor skills,” in Skill Acquisition in Sport, A. M. Williams and N. J. Hodges (eds.), Routledge, UK (2004), Vol. 1, Part 4, pp. 309–327.

  6. D. Bullock, “Adaptive neural models of queuing and timing in fluent action,” Trends Cogn. Sci., 8, No. 9, 426–433 (2004).

    Article  PubMed  Google Scholar 

  7. J. Doyon and H. Benali, “Reorganization and plasticity in the adult brain during learning of motor skills,” Curr. Opin. Neurobiol., 15, 161–167 (2005).

    Article  CAS  PubMed  Google Scholar 

  8. U. Eversheim and O. Bock, “Evidence for processing stages in skill acquisition: A dual-task study,” Learn. Mem., 8, 183–189 (2001).

    Article  CAS  PubMed  Google Scholar 

  9. F. Gobet and F. E. Ritter, “Individual data analysis and Unified Theories of Cognition: A methodological proposal,” in: Proc. 3rd Int. Conf. on Cognitive Modelling, Veenendaal, The Netherlands, University Press (2000), pp. 150–157.

  10. S. T. Grafton and A. F. Hamilton, “Evidence for a distributed hierarchy of action representation in the brain,” Hum. Mov. Sci., 26, No. 4, 590–616 (2007).

    Article  PubMed  Google Scholar 

  11. S. T. Grafton, E. Hazeltine, and R. B. Ivry, “Abstract and effectorspecific representations of motor sequences identified with PET,” J. Neurosci., 18, No. 22, 9420–9428 (1998).

    CAS  PubMed  Google Scholar 

  12. A. Karni, G. Meyer, C. Rey-Hipolito, P. Jezzard, M. Adams, R. Turners, and L. G. Ungerleider, “The acquisition of skilled motor performance: Fast and slow experience-driven changes in primary motor cortex,” Proc. Natl. Acad. Sci. USA, 95, 861–868 (1998).

    Article  CAS  PubMed  Google Scholar 

  13. S. W. Keele, R. Ivry, U. Mayr, E. Hazeltine, and H. Heuer, “The cognitive and neural architecture of sequence representation,” Psychol. Rev., 110, No. 2, 316–339 (2003).

    Article  PubMed  Google Scholar 

  14. M. Korman, N. Raz, T. Flash, and A. Karni, “Multiple shifts in the representation of a motor sequence during the acquisition of skilled performance,” Proc. Natl. Acad. Sci. USA, 100, No. 21, 12492–12497 (2003).

    Article  CAS  PubMed  Google Scholar 

  15. A. Moore and J. De Houwer, “Automaticity: A theoretical and conceptual analysis,” Psychol. Bull., 132, No. 2, 297–326 (2006).

    Article  Google Scholar 

  16. J. T. Mordkoff and S. Yantis, “An interactive race model of divided attention,” J. Exp. Psychol. Hum. Percept. Perform., 17, No. 2, 520–538 (1991).

    Article  CAS  PubMed  Google Scholar 

  17. B. J. Rhodes, D. Bullock, W. B. Verwey, B. B. Averbeck, and M. P. A. Page, “Learning and production of movement sequences: Behavioral, neurophysiological, and modeling perspectives,” Hum. Mov. Sci., 23, 699–746 (2004).

    Article  PubMed  Google Scholar 

  18. D. A. Rosenbaum, R. A. Carlson, and R. O. Gilmore, “Acquisition of intellectual and perceptual-motor skills,” Ann. Rev. Psychol., 52, 453–470 (2001).

    Article  CAS  Google Scholar 

  19. K. Sakai, O. Hikosaka, and K. Nakamura, “Emergence of rhythm during motor learning,” Trends Cogn. Sci., 8, No. 12, 547–553 (2004).

    Article  PubMed  Google Scholar 

  20. P. L. Smith and R. Ratcliff, “Psychology and neurobiology of simple decisions,” Trends Neurosci., 27, No. 3, 161–167 (2004).

    Article  CAS  PubMed  Google Scholar 

  21. D. B. Willingham, “A neuropsychological theory of motor skill learning,” Psychol. Rev., 105, No. 3, 558–584 (1998).

    Article  CAS  PubMed  Google Scholar 

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Correspondence to A. V. Kurganskii.

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Translated from Zhurnal Vysshei Nervnoi Deyatel’nosti imeni I. P. Pavlova, Vol. 59, No. 6, pp. 673–685, November–December, 2009.

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Kurganskii, A.V., Grigal, P.P. Performance of Series of Movements Specified by a Sequence of Sensory Signals. Individual Differences at the Initial State of Sequence Learning. Neurosci Behav Physi 41, 140–148 (2011). https://doi.org/10.1007/s11055-011-9390-0

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