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On knowing how to do things: A theory of motor imagery
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UNSPECIFIED (1996) On knowing how to do things: A theory of motor imagery. COGNITIVE BRAIN RESEARCH, 3 (2). pp. 65-69. ISSN 0926-6410
Full text not available from this repository.Abstract
The distinction between 'knowing how' and 'knowing that' is fundamental to current theories of cognition. Two distinct encodings or representations are implied, one conscious and verbalisable and the other normally unconscious yet demonstrable in behaviour. The paper discusses the nature of these two kinds of representation and relations between them. It is shown that imagery forms an essential mediating link between the two encodings and a theoretical model - the Action-Language-Imagination or ALI model - is presented. An important feature of the model is the role attributed to the motor system in generating imagery and principal features of motor imagery are reviewed in the context of the ALI model and with reference to recent experimental findings. Problems in mapping conscious representations of action onto physical brain mechanisms are briefly discussed. It is proposed that the physical basis of imaginal representations of actions is best understood in terms of the mechanisms of motor control. A two stage theory of motor imagery is proposed in which the first stage, the generation of a prototypical action is virtually identical to that involved in overt actions whilst the second stage depends on the retrieval of sensory impressions from memory.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
| Journal or Publication Title: | COGNITIVE BRAIN RESEARCH |
| Publisher: | ELSEVIER SCIENCE BV |
| ISSN: | 0926-6410 |
| Date: | March 1996 |
| Volume: | 3 |
| Number: | 2 |
| Number of Pages: | 5 |
| Page Range: | pp. 65-69 |
| Publication Status: | Published |
| URI: | http://wrap.warwick.ac.uk/id/eprint/18965 |
Data sourced from Thomson Reuters' Web of Knowledge
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