日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細

  Using a Kalman Filter to predict visuomotor adaptation behavior

Ernst, M., Burge, J., & Banks, M. (2005). Using a Kalman Filter to predict visuomotor adaptation behavior. Poster presented at 28th European Conference on Visual Perception, A Coruña, Spain.

Item is

基本情報

表示: 非表示:
資料種別: ポスター

ファイル

表示: ファイル

関連URL

表示:

作成者

表示:
非表示:
 作成者:
Ernst, MO1, 著者           
Burge, J2, 著者           
Banks, M2, 著者           
所属:
1Research Group Multisensory Perception and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497806              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

内容説明

表示:
非表示:
キーワード: -
 要旨: The sensorimotor system recalibrates when the visual and motor maps are in conflict, bringing the maps back into correspondence. We investigated the rate at which this recalibration occurs. The Kalman filter is a reasonable statistical model for describing visuomotor adaptation. It predicts that the rate of adaptation is dependent on the reliability of the feedback signal. It also predicts that random trial-to-trial perturbation of the feedback signal should have little or no effect on the adaptation rate. We tested these predictions using a pointing task. Subjects pointed with the unseen hand to a brief visual target. Visual feedback was then provided to indicate where the pointing movement had landed. During the experiment, we introduced a constant conflict between the pointing and feedback locations, and we examined the changes in pointing as the subject adapted. From the change in pointing position over trials we determined the adaptation rate. In experiment 1, we tested whether the reliability of the feedback affected adaptation rate by blurring the visual feedback and thereby reducing its localisability. Six levels of blur were used and spatial discrimination measurements confirmed that the blur was effective in altering stimulus localisability. We also constructed a Kalman filter model of the task. We found that adaptation rates of the filter and of the subjects decreased when blur was increased (ie with less reliable feedback). In experiment 2, the reliability of the visual feedback signal was manipulated by randomly perturbing the feedback signal on a trial-by-trial basis. Again, in good agreement with the prediction of the Kalman filter, we found no significant effect on adaptation rate as we manipulated the amount of perturbation. Taken together, these results provide evidence that human visuomotor adaptation behaviour is well modeled by a Kalman filter that uses weighted information from previous trials, including the reliability of the information, to update the visuomotor map.

資料詳細

表示:
非表示:
言語:
 日付: 2005-08
 出版の状態: 出版
 ページ: -
 出版情報: -
 目次: -
 査読: -
 識別子(DOI, ISBNなど): URI: http://www.perceptionweb.com/abstract.cgi?id=v050541
BibTex参照ID: 3542
 学位: -

関連イベント

表示:
非表示:
イベント名: 28th European Conference on Visual Perception
開催地: A Coruña, Spain
開始日・終了日: -

訴訟

表示:

Project information

表示:

出版物

表示: