A Bayesian Model of Multimodal Visuo-motor Adaptation

Adrian Haith, Sethu Vijayakumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We propose a model of multi-modal adaptation of reaching movements based on optimal Bayesian inference of the causes of errors. Our model accounts for the patterns of trial-to-trial adaptation as well as perceptual aftereffects in vision and proprioception when visual feedback is shifted or rotated.
Original languageEnglish
Title of host publicationProc. 18th Meeting of the Society for Neural Control of Movement (NCM 2008)
Number of pages1
Publication statusPublished - 2008

Keywords / Materials (for Non-textual outputs)

  • Informatics
  • Computer Science


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