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.


Publié dans:
Neurocomputing, 64, 5-24
Année
2005
Mots-clefs:
Note:
Sponsor: Swiss National Science Foundation
Autres identifiants:
DAR: 6616
Laboratoires:




 Notice créée le 2005-11-16, modifiée le 2018-11-19

n/a:
Télécharger le document
PDF

Évaluer ce document:

Rate this document:
1
2
3
 
(Pas encore évalué)