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  4. A Neurocomputational Model of an Imitation Deficit following Brain Lesion
 
conference paper

A Neurocomputational Model of an Imitation Deficit following Brain Lesion

Petreska, B.  
•
Billard, A.  orcid-logo
2006
Artificial Neural Networks – ICANN 2006
16th International Conference on Artificial Neural Networks (ICANN 2006)

This paper investigates the neural mechanisms of visuo-motor imitation in humans through convergent evidence from neuroscience. In particular, we consider a deficit in imitation following callosal brain lesion, based on the rational that looking at how imitation is impaired can unveil its underlying neural principles. We ground the functional architecture and information flow of our model in brain imaging studies and use findings from monkey brain neurophysiological studies to drive the choice of implementation of our processing modules. Our neural model of visuo-motor imitation is based on self-organizing maps with associated activities. Patterns of impairment of the model, realized by adding uncertainty in the transfer of information between the networks, account for the scores found in a clinical examination of imitation (Goldenberg et al, 01). The model also allows several interesting predictions.

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Type
conference paper
DOI
10.1007/11840817_80
Author(s)
Petreska, B.  
Billard, A.  orcid-logo
Date Issued

2006

Published in
Artificial Neural Networks – ICANN 2006
Series title/Series vol.

Lecture Notes in Computer Science; 4131

Start page

770

End page

779

Subjects

Imitation

•

Motion studies

URL

URL

http://icann2006.org/chapter1/
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASA  
Event nameEvent placeEvent date
16th International Conference on Artificial Neural Networks (ICANN 2006)

Athens, Greece

2006

Available on Infoscience
November 7, 2007
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/14454
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