A Bayesian Model of Multimodal Visuo-motor Adaptation

Adrian Haith; Sethu Vijayakumar

A Bayesian Model of Multimodal Visuo-motor Adaptation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 language	English
Title of host publication	Proc. 18th Meeting of the Society for Neural Control of Movement (NCM 2008)
Pages	1
Number of pages	1
Publication status	Published - 2008

Keywords / Materials (for Non-textual outputs)

Informatics
Computer Science

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Haith et al 2008 A Bayesian Model of Multi Modal Visuomotor AdaptationSubmitted manuscript, 235 KB

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title = "A Bayesian Model of Multimodal Visuo-motor Adaptation",

abstract = "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.",

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KW - Computer Science

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SP - 1

BT - Proc. 18th Meeting of the Society for Neural Control of Movement (NCM 2008)

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A Bayesian Model of Multimodal Visuo-motor Adaptation

Abstract

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