Sauser, E.Billard, A.2005-11-162005-11-162005-11-16200510.1016/j.neucom.2004.11.019https://infoscience.epfl.ch/handle/20.500.14299/2200776616This 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.Learning by Imitation - Neural ModellingThree Dimensional Frames of References Transformations using Recurrent Populations of Neuronstext::journal::journal article::research article