Year: 2020
Type: dissertation
Abstract: This thesis presents a preliminary control theoretic model of sensorimotor adaptation driven by visual error feedback. We formalize qualitative experimentally observed dynamic properties of adaptation as transient response characteristics of stable linear systems, and we explore implications on the validity of classes of models. The adaptation process is formulated as a disturbance rejection problem. To solve this problem we utilize an adaptive internal model with error feedback. Stability and convergence of the proposed model are proved using averaging theory. The model is validated using simulations of a visuomotor rotation experiment with fast arm reaches, illustrating preservation of the dynamic properties of adaptation. Finally, an extension of the model is explored in order to recover more novel experimental results.
Source: TSpace (University of Toronto)
Author: Ahmad A. Gawad
Language: English
Topic: Motor Control and Adaptation
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W3165436460