@phdthesis{Herbort2008, author = {Herbort, Oliver}, title = {Encoding Redundancy for Task-dependent Optimal Control : A Neural Network Model of Human Reaching}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-26032}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2008}, abstract = {The human motor system is adaptive in two senses. It adapts to the properties of the body to enable effective control. It also adapts to different situational requirements and constraints. This thesis proposes a new neural network model of both kinds of adaptivity for the motor cortical control of human reaching movements, called SURE_REACH (sensorimotor unsupervised learning redundancy resolving control architecture). In this neural network approach, the kinematic and sensorimotor redundancy of a three-joint planar arm is encoded in task-independent internal models by an unsupervised learning scheme. Before a movement is executed, the neural networks prepare a movement plan from the task-independent internal models, which flexibly incorporates external, task-specific constraints. The movement plan is then implemented by proprioceptive or visual closed-loop control. This structure enables SURE_REACH to reach hand targets while incorporating task-specific contraints, for example adhering to kinematic constraints, anticipating the demands of subsequent movements, avoiding obstacles, or reducing the motion of impaired joints. Besides this functionality, the model accounts for temporal aspects of human reaching movements or for data from priming experiments. Additionally, the neural network structure reflects properties of motor cortical networks like interdependent population encoded body space representations, recurrent connectivity, or associative learning schemes. This thesis introduces and describes the new model, relates it to current computational models, evaluates its functionality, relates it to human behavior and neurophysiology, and finally discusses potential extensions as well as the validity of the model. In conclusion, the proposed model grounds highly flexible task-dependent behavior in a neural network framework and unsupervised sensorimotor learning.}, subject = {Bewegungssteuerung}, language = {en} } @phdthesis{Rueter2004, author = {R{\"u}ter, Katja}, title = {The efficiency of routine standards in social comparison}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-9448}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2004}, abstract = {One primary source for self-knowledge is social comparison. Often objective criteria for self-evaluations are not available or useful and therefore comparisons with other people play a crucial role in self-evaluations. But the question is whether social comparisons could indeed provide information about the self without consuming too much cognitive resources or time. Therefore, in this research I wanted to look at practice effects in social comparison and the particular significance of routine standards. Whereas traditional research on standard selection mostly focused on goal-oriented and strategic standard selection processes, this research sets out to integrate social cognitive knowledge, ideas, and methods. Researchers from many different fields agree that people's behavior and thinking is not fully determined by rational choices or normative considerations. Quite the contrary, factors like knowledge accessibility, habits, procedural practice, stereotyping, categorization, and many more cognitive processes play an important role. The same may be true in social comparison and standard selection. In my research I demonstrate that efficiency concerns play an important role in social comparison. Since people may not be able to engage in a strategic standard selection whenever they engage in social comparison processes, there has to be a more efficient alternative. Using routine standards would be such an alternative. The efficiency advantage of routine standards may thereby be founded not only in the abandonment of a strategic but arduous standard selection process, but also in a higher efficiency of the comparison process itself. I therefore set out to show how the use of routine standards facilitates the social comparison processes. This was done in three steps. First, I replicated and improved our former research (Mussweiler \& R{\"u}ter, 2003, JPSP) indicating that people really do use their best friends as routine standards to evaluate themselves. Second, I demonstrated that it is more efficient to compare with a routine standard than with another standard. In Studies 2 and 3 I therefore show that comparisons between the self and a routine standard (either a natural routine standard like the best friend or a experimentally induced routine standard based on practice) are faster and more efficient than comparisons with other standards. Finally, I looked at the underlying mechanism of the efficiency advantage of routine standards. The results of Studies 4 and 5 point out, that both general as well as specific practice effects occur with repeated comparisons. Whereas a specific practice effect implies the repeated processing of the same content (i.e., knowledge about the routine standard), general practice effects indicate that the pure process (i.e., comparing the self with a routine standard) becomes more efficient regardless whether new content (i.e., comparison relevant knowledge) has to be processed. Taken together, the efficiency advantage of routine standards during self-evaluation is based not only on the lack of necessity for an arduous standard selection, but is additionally supported by the facilitation of the comparison process itself. The efficiency of routine standards may provide an explanation as to why people base self-evaluations on comparisons with these standards and dispense with strategic considerations to select the most suitable standard.}, language = {en} }