Documents in the NTIS Technical Reports collection are the results of federally funded research. They are directly submitted to or collected by NTIS from Federal agencies for permanent accessibility to industry, academia and the public.  Before purchasing from NTIS, you may want to check for free access from (1) the issuing organization's website; (2) the U.S. Government Printing Office's Federal Digital System website http://www.gpo.gov/fdsys; (3) the federal government Internet portal USA.gov; or (4) a web search conducted using a commercial search engine such as http://www.google.com.
Accession Number ADA574167
Title Acquisition and Use of Internal Models for Human Motor Learning.
Publication Date Nov 2009
Media Count 30p
Personal Author R. A. Jacobs
Abstract We study decision making in dynamic environments in general, and human motor learning in particular. Our approach focuses on the acquisition and use of libraries of representational primitives. This approach is motivated by computational considerations -- learning new motor plans by linearly combining primitives from a library ameliorates the 'curse of dimensionality'. It is also motivated by evidence from the field of cognitive neuroscience indicating that biological organisms (including humans) linearly combine motor primitives (known as motor synergies) when planning and executing motor actions. We have made excellent progress showing that linear combinations of 'global' primitives can achieve near-optimal performance on tasks requiring the control of a simulated two-joint robot arm. We have also shown that new linear combinations for novel tasks can be learned rapidly. In more recent research, we have explored the strengths of libraries of 'local' primitives where primitives are linearly combined using a 'local' additive regression procedure.
Keywords Computational theory
Decision making
Dynamic programming
Learning
Motor behavior
Motor control
Motor learning
Motor primitives
Motor reactions
Motor synergies
Optimal control signals
Optimal performance
Optimal synergies
Reinforcement learning
Sequential decision making


 
Source Agency Non Paid ADAS
NTIS Subject Category 92B - Psychology
57T - Psychiatry
57A - Anatomy
57S - Physiology
Corporate Author Rochester Univ., NY.
Document Type Technical report
Title Note Final rept. 15 Jul 2006-31 Jul 2009.
NTIS Issue Number 1318
Contract Number FA9550-06-1-0492

Science and Technology Highlights

See a sampling of the latest scientific, technical and engineering information from NTIS in the NTIS Technical Reports Newsletter

Acrobat Reader Mobile    Acrobat Reader