Neuromechanical modeling of posture and locomotion
Location: Bullock, Room 102 W. Time: Wednesday, July 25, 8:50-17:00
Boris I. Prilutsky and Alexander N. Klishko, Georgia Institute of Technology
Neuromechanics is a new, quickly growing field of neuroscience research that merges neurophysiology, biomechanics and motor control and aims at understanding living systems and their elements through interactions between their neural and mechanical dynamic properties. Although Neuromechanics is not limited by computational approaches, neuromechanical modeling is a powerful tool that allows for integration of massive knowledge gained in the past several decades in organization of motion related brain and spinal cord activity, various body sensors and reflex pathways, muscle mechanical and physiological properties and detailed quantitative morphology of musculoskeletal systems. Recent work in neuromechanical modeling has demonstrated advantages of such an integrative approach and led to discoveries of new emergent properties of neuromechanical systems. The goal of this workshop is to bring together neuromechanics researchers, discuss new developments in the field of neuromechanical modeling and inform Computational Neuroscience community of this new and exciting area of research.
- 8:50 – 9:00 Boris I. Prilutsky and Alexander N. Klishko, Georgia Tech. Introductory notes
- 9:00 – 9:40 Thomas J. Burkholder, Georgia Tech. Model-based approaches to understanding musculoskeletal filtering of neural signals
- 9:40 – 10:20 Donald H. Edwards, Jr., Georgia State University. A hybrid neuromechanical analysis of posture and locomotion
- 10:20 – 10:40 Coffee break
- 10:40 – 11:20 Lucy E. Spardy, University of Pittsburgh. A dynamical systems analysis of a neuromechanical model of locomotion
- 11:20 – 12:00 Sergiy Yakovenko, West Virginia University. Redundant control signals in hierarchical neuromechanical models
- 12:00 – 13:20 Lunch
- 13:20 – 14:00 Gennady Cymbalyuk, Georgia State University. A single neuromechanical model can describe cat locomotion and paw shake response.
- 14:00 – 14:40 Boris I. Prilutsky and Alexander N. Klishko, Georgia Tech. Computing motion dependent afferent activity during locomotion using a forward dynamics musculoskeletal model.
- 14:40 – 15:20 Sergey N. Markin, Drexel University. A comprehensive neuromechanical model of spinal locomotion
- 15:20 – 17:00 Coffee break and Discussion