Estimating the Sources of Motor Errors
published: Jan. 19, 2010, recorded: December 2009, views: 3517
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Motor adaptation is usually defined as the process by which our nervous system produces accurate movements while the properties of our bodies and our environment continuously change. Many experimental and theoretical studies have characterized this process by assuming that the nervous system uses internal models to compensate for motor errors. Here we extend these approaches and construct a probabilistic model that not only compensates for motor errors but estimates the sources of these errors. These estimates dictate how the nervous system should generalize. For example, estimated changes of limb properties will affect movements across the workspace but not movements with the other limb. We extend previous studies in that area to account for temporal and context effects. This extended model explains aspects of savings along with aspects of generalization.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !