Computational principles of sensorimotor control that minimize uncertainty and variability
By Paul M. Bays, D. M. Wolpert. Journal of Physiology, 2007
368 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cognitive Neuroscience, Social Psychology
View Paper: https://www.semanticscholar.org/paper/05b82cb6c29bdd29e2c067fb81006db8dd8b9097
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Karl J. Friston
- D. M. Wolpert
- Randall Flanagan
- Jörn Diedrichsen
- Morten H. Christiansen
- N. Chater
- Elisabeth Pacherie
- H. Ehrsson
In Cognitive Neuroscience
- Karl J. Friston
- Jean Daunizeau
- James M. Kilner
- Stefan J. Kiebel
- Klaas E. Stephan
- W. D. Penny
- Jörn Diedrichsen
- Randall Flanagan
In Social Psychology
- Karl J. Friston
- James M. Kilner
- Jörn Diedrichsen
- Randall Flanagan
- Jean Daunizeau
- D. M. Wolpert
- J. Urgen Schmidhuber
- ChrisD . Frith
Citations in the corpus
- Principles of sensorimotor learning (2011, background): “This includes filtering the incoming sensory information based on the current action (for example, REFS 7,8 ).”
- Action and behavior: a free-energy formulation (2010, background): “If these ideas are valid, then they speak to a fundamental role for perception in action (Wolpert et al. 1995; Shadmehr and Krakauer 2008; Bays and Wolpert 2007; Tseng et al. 2007; Wei and Körding 2009).”