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

  • Authors:
  • Eric L. Sauser;Aude G. Billard

  • Affiliations:
  • Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Federal Institute of Technology Lausanne, Autonomous Systems Laboratory, CH-1015 Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Federal Institute of Technology Lausanne, Autonomous Systems Laboratory, CH-1015 Lausanne, Switzerland

  • Venue:
  • Neurocomputing
  • Year:
  • 2005

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Abstract

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.