Motor Control and Learning in the North American Society for the Psychology of Sport and Physical Activity (NASPSPA): The First 40 Years

2017 ◽  
Vol 6 (3) ◽  
pp. 221-231 ◽  
Author(s):  
Robert W. Christina

By 1967, motor control and learning researchers had adopted an information processing (IP) approach. Central to that research was understanding how movement information was processed, coded, stored, and represented in memory. It also was centered on understanding motor control and learning in terms of Fitts’ law, closed-loop and schema theories, motor programs, contextual interference, modeling, mental practice, attentional focus, and how practice and augmented feedback could be organized to optimize learning. Our constraints-based research from the 1980s into the 2000s searched for principles of “self-organization”, and answers to the degrees-of-freedom problem, that is, how the human motor system with so many independent parts could be controlled without the need for an executive decision maker as proposed by the IP approach. By 2007 we were thinking about where the IP and constraints-based views were divergent and complementary, and whether neural-based models could bring together the behavior and biological mechanisms underlying the processes of motor control and learning.

2014 ◽  
Vol 3 (3) ◽  
pp. 151-160 ◽  
Author(s):  
Jennifer L. Etnier

In developing a senior lecture for the 2014 national meeting of the North American Society for the Psychology of Sport and Physical Activity, I had the opportunity to reflect upon a career of research and to focus on three interesting questions that my colleagues and I have attempted to address. These questions have led to several studies that all revolve around identifying ways to increase the effects of exercise on cognitive performance. In particular, the questions examine the possibility of increasing effects by focusing on particular populations (e.g., older adults, children) and by increasing our understanding of dose-response relationships between exercise parameters (e.g., intensity, duration) and cognitive outcomes. I present empirical evidence relative to each of these questions and provide directions for future research on physical activity and cognitive functioning.


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