Full metadata
Title
Influence of sensorimotor noise on the planning and control of reaching in 3-dimensional space
Description
The ability to plan, execute, and control goal oriented reaching and grasping movements is among the most essential functions of the brain. Yet, these movements are inherently variable; a result of the noise pervading the neural signals underlying sensorimotor processing. The specific influences and interactions of these noise processes remain unclear. Thus several studies have been performed to elucidate the role and influence of sensorimotor noise on movement variability. The first study focuses on sensory integration and movement planning across the reaching workspace. An experiment was designed to examine the relative contributions of vision and proprioception to movement planning by measuring the rotation of the initial movement direction induced by a perturbation of the visual feedback prior to movement onset. The results suggest that contribution of vision was relatively consistent across the evaluated workspace depths; however, the influence of vision differed between the vertical and later axes indicate that additional factors beyond vision and proprioception influence movement planning of 3-dimensional movements. If the first study investigated the role of noise in sensorimotor integration, the second and third studies investigate relative influence of sensorimotor noise on reaching performance. Specifically, they evaluate how the characteristics of neural processing that underlie movement planning and execution manifest in movement variability during natural reaching. Subjects performed reaching movements with and without visual feedback throughout the movement and the patterns of endpoint variability were compared across movement directions. The results of these studies suggest a primary role of visual feedback noise in shaping patterns of variability and in determining the relative influence of planning and execution related noise sources. The final work considers a computational approach to characterizing how sensorimotor processes interact to shape movement variability. A model of multi-modal feedback control was developed to simulate the interaction of planning and execution noise on reaching variability. The model predictions suggest that anisotropic properties of feedback noise significantly affect the relative influence of planning and execution noise on patterns of reaching variability.
Date Created
2012
Contributors
- Apker, Gregory Allen (Author)
- Buneo, Christopher A (Thesis advisor)
- Helms Tillery, Stephen (Committee member)
- Santello, Marco (Committee member)
- Santos, Veronica (Committee member)
- Si, Jennie (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
xii, 203 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.14522
Statement of Responsibility
by Gregory Allen Apker
Description Source
Viewed on Jan. 31, 2013
Level of coding
full
Note
thesis
Partial requirement for: Ph.D., Arizona State University, 2012
bibliography
Includes bibliographical references (p. 184-192)
Field of study: Bioengineering
System Created
- 2012-08-24 06:15:09
System Modified
- 2021-08-30 01:48:50
- 3 years 2 months ago
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