Three-dimensional frames of references transformations using recurrent populations of neurons

This work investigates whether population vector coding, a distributed computational paradigm, could be a principle mechanism for performing sensorimotor and frames of reference transformations. This paper presents a multilayer neural network that can perform arbitrary three-dimensional rotations an...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2005-03, Vol.64, p.5-24
Main Authors: Sauser, Eric L., Billard, Aude G.
Format: Article
Language:English
Subjects:
Frames of references transformations
Gain modulation
Population vector coding
Sensorimotor transformations
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Summary:This work investigates whether population vector coding, a distributed computational paradigm, could be a principle mechanism for performing sensorimotor and frames of reference transformations. This paper presents a multilayer neural network that can perform arbitrary three-dimensional rotations and translations. We demonstrate, both formally and numerically, that the non-linearity of these transformations can be resolved thanks to the recurrent and concurrent activities of continuous populations of neurons.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2004.11.019