A Unifying Framework for Decision Making and Movement Control

Ahmed, Alaa A.

Title:

A Unifying Framework for Decision Making and Movement Control

dc.contributor.author	Ahmed, Alaa A.
dc.contributor.corporatename	Georgia Institute of Technology. Neural Engineering Center	en_US
dc.contributor.corporatename	University of Colorado, Boulder. Dept. of Integrative Physiology and Mechanical Engineering	en_US
dc.date.accessioned	2017-10-03T19:21:19Z
dc.date.available	2017-10-03T19:21:19Z
dc.date.issued	2017-09-25
dc.description	Presented on September 25, 2017 at 11:15 a.m. in the Engineered Biosystems Building (EBB), room 1005.	en_US
dc.description	Alaa A. Ahmed is an associate professor in the Department of Integrative Physiology at the University of Colorado, Boulder. Her research interests are biomechanical and sensorimotor processes underlying human movement control and decision-making in uncertain or unstable environments, neuromechanics of postural control, loss of balance detection, and falls in young and older adults, and investigation of the stimulus for muscle hypertrophy using multi-scale biomechanical models of lengthening contractions during progressive resistance training.	en_US
dc.description	Runtime: 53:01 minutes	en_US
dc.description.abstract	Decisions depend on the reward at stake and the effort required. However, these same variables influence the vigor of the ensuing movement, suggesting that factors that affect evaluation of action also influence performance of the selected action. In this talk, I will describe a mathematical framework that links decision-making with motor control. Each action has a utility that combines the reward at stake with its effort requirements, both discounted as a function of time. The critical assumption of this model is to represent effort via the metabolic energy expended to produce the movement. I will show that a single mathematical formulation of action predicts both the decisions that animals make as well as the vigor of the movements that follow. This framework accounts for choices that birds make in walking vs. flying, choices that people make in reaching and force production, and the curious fact that pedestrians walk faster in certain cities. I suggest that decision-making and movement control share a common utility in which the expected rewards and the energetic costs are discounted as a function of time.	en_US
dc.format.extent	53:01 minutes
dc.identifier.uri	http://hdl.handle.net/1853/58820
dc.language.iso	en_US	en_US
dc.relation.ispartofseries	GT Neuro Seminar Series
dc.subject	Decision making	en_US
dc.subject	Effort	en_US
dc.subject	Metabolic cost	en_US
dc.subject	Movement	en_US
dc.title	A Unifying Framework for Decision Making and Movement Control	en_US
dc.type	Moving Image
dc.type.genre	Lecture
dspace.entity.type	Publication
local.contributor.corporatename	Neural Engineering Center
local.relation.ispartofseries	GT Neuro Seminar Series
relation.isOrgUnitOfPublication	c2e26044-257b-4ef6-8634-100dd836a06c
relation.isSeriesOfPublication	608bde12-7f29-495f-be22-ac0b124e68c5