Literature DB >> 18217841

Learning to imitate novel motion sequences.

Yigal Agam1, Henry Galperin, Brian J Gold, Robert Sekuler.   

Abstract

Many imitative behaviors entail complex sequences of component actions that must be recalled and performed in the proper order. It is well known that imitation of complex actions tends to improve with repeated opportunities to observe and execute the target behavior. But what actually makes this practice-based improvement possible? To address this question, we had subjects view and then reproduce sequences of connected, randomly directed motions of a disc. Even a single repetition of a motion sequence substantially reduced errors in reproduction. Improvement seemed to follow a power law, with accuracy in reproducing each motion segment improving by an amount proportional to the current error for that segment. Analysis of the pauses separating a reproduction's segments suggests that with learning, multiple segments in memory are grouped into more compact representations. To test overt performance's contribution to repetition-based improvement, we compared subjects' performance when they reproduced the stimulus trajectory after each repetition to when they did so only once, after the final repetition. Performance was similar following the final repetition in both conditions, indicating that seeing the model, without actual imitation, was sufficient for learning--even in the absence of an explicit error signal. In another experiment, subjects viewed three presentations of each model, with the second presentation given in forward (start to end) or backward (end to start) order. Performance was significantly better when all three presentations were in the same, consistent order, suggesting that repetition reinforced some temporal aspects of a trajectory as it was being learned, and not merely a better representation of the static shape traced by the motion of the disc. These results provide a first look into explicit learning of sequential, nonverbal material, which is central to many tasks of daily life.

Mesh:

Year:  2007        PMID: 18217841     DOI: 10.1167/7.5.1

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  7 in total

1.  Interactions between working memory and visual perception: an ERP/EEG study.

Authors:  Yigal Agam; Robert Sekuler
Journal:  Neuroimage       Date:  2007-04-18       Impact factor: 6.556

2.  A new way to quantify the fidelity of imitation: preliminary results with gesture sequences.

Authors:  Brian J Gold; Marc Pomplun; Nichola J Rice; Robert Sekuler
Journal:  Exp Brain Res       Date:  2008-02-15       Impact factor: 1.972

3.  Neural correlates of sequence encoding in visuomotor learning.

Authors:  Yigal Agam; Jie Huang; Robert Sekuler
Journal:  J Neurophysiol       Date:  2010-01-13       Impact factor: 2.714

4.  Eye movements and imitation learning: intentional disruption of expectation.

Authors:  Jessica Maryott; Abigail Noyce; Robert Sekuler
Journal:  J Vis       Date:  2011-01-06       Impact factor: 2.240

5.  Desirability, availability, credit assignment, category learning, and attention: Cognitive-emotional and working memory dynamics of orbitofrontal, ventrolateral, and dorsolateral prefrontal cortices.

Authors:  Stephen Grossberg
Journal:  Brain Neurosci Adv       Date:  2018-05-08

6.  Violations of newly-learned predictions elicit two distinct P3 components.

Authors:  Abigail Noyce; Robert Sekuler
Journal:  Front Hum Neurosci       Date:  2014-06-10       Impact factor: 3.169

7.  What's in a Name? The Multiple Meanings of "Chunk" and "Chunking".

Authors:  Fernand Gobet; Martyn Lloyd-Kelly; Peter C R Lane
Journal:  Front Psychol       Date:  2016-02-09
  7 in total

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