1. Emanuel Todorov. Optimality principles in sensorimotor control. Nature Neuroscience, 7(9):907-915, 2004.
   Keywords: neuroscience, motor control, internal models, feedback, minimum variance. [Abstract] [Comments] [bibtex-entry]



2. Emanuel Todorov and Michael I. Jordan. Optimal feedback control as a theory of motor coordination. Nature neuroscience, 5:11, 2002.
   Keywords: neuroscience, motor control, internal models, feedback, minimum variance. [Abstract] [Comments] [bibtex-entry]



3. Mitsuo Kawato. Internal models for motor control and trajectory planning. Current Opinion in Neurobiology, 9:718-727, 1999.
   Keywords: neuroscience, motor control, internal models. [Abstract] [Comments] [bibtex-entry]



4. Paul L. Gribble, David J. Ostry, Vittorio Sanguineti, and Rafael Laboissiere. Are complex control signals required for human arm movement?. Journal of Neurophysiology, 79:1409-1424, 1998.
   Keywords: neuroscience, motor control, minimum variance, feedback, physiolology. [Abstract] [Comments] [bibtex-entry]



5. Christopher M. Harris and Daniel M. Wolpert. Signal-dependent noise determines motor planning. Nature, 394:780-784, 1998.
   Keywords: neuroscience, motor control, minimum variance, feedback. [Abstract] [Comments] [bibtex-entry]

1. Weiwei Lie, Emanuel Todorov, and Xiuchuan Pan. Hierarchical Optimal Control of Redundant biomechanical systems. In 26th Anuual Int. Conf. of the IEEE Eng. in Biology and Medecine Sty, 2004.
   Keywords: neuroscience, motor control, minimum variance, feedback. [Abstract] [Comments] [bibtex-entry]

All the ressources below are referenced through direct links, for easier use as a library of introductory and comprehensive papers on various subjects. If a paper of yours is on this list and you do not want your homepage to be bypassed, just send me an email.

Comments and ratings are for personnal use, they do not claim to reflect academic value. It is only an indication of their relevance with respect to my own interests and the success they happened to have in the scientific community.

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