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 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.


Published in:
Neurocomputing, 64, 5-24
Year:
2005
Keywords:
Note:
Sponsor: Swiss National Science Foundation
Other identifiers:
DAR: 6616
Laboratories:




 Record created 2005-11-16, last modified 2018-11-21

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