Population computation of vectorial transformations
Neural Computation
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
A hybrid generative and predictive model of the motor cortex
Neural Networks
A self-organizing map of sigma-pi units
Neurocomputing
Interferences in the transformation of reference frames during a posture imitation task
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
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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.