Neurobiology of Science and Medical Education

The manifold surface generated by the systems dynamical model can be used to relate learning patterns to neurobiological determinants of learning, memory, and cognition including synaptic strength, connectivity, and hierarchical distributed parallel processing. The effectiveness of teaching methods can be evaluated through the development of assessment tools based on this model. The stepwise pattern of how an individual is actually solving a problem can be used to map and define a knowledge surface. Changes in the geometry of the surface and alterations in the learning path across the surface can be measured by using computer interaction to track the trajectory of the solutions to various problems. Insight into the effectiveness of different learning strategies in altering the knowledge surface, the efficiency of strategies for moving over the surface, and blocks to learning as evidenced by arrested paths on the knowledge surface are explored in this line of research.

–> Explore more about about our laboratory’s efforts and collaborations by visiting the following sites:

NIH RoadMap Interdisciplinary Research

Neurobiology of Education

Neurosciences Interdisciplinary Modeling and Simulation Laboratory

American Academy of Neurology (AAN)

Symmetry Science

Spirit Engine