A Network for Learning Kinematics with Application to Human Reaching Models

dc.contributor.author	Fiala, John C.	en_US
dc.date.accessioned	2011-11-14T18:19:26Z
dc.date.available	2011-11-14T18:19:26Z
dc.date.issued	1993-10	en_US
dc.identifier.uri	http://hdl.handle.net/2144/2032
dc.description.abstract	A model for self-organization of the coordinate transformations required for spatial reaching is presented. During a motor babbling phase, a mapping from spatial coordinate directions to joint motion directions is learned. After learning, the model is able to produce straight-line spatial velocity trajectories with characteristic bell-shaped spatial velocity profiles, as observed in human reaches. Simulation results are presented for transverse plane reaching using a two degree-of-freedom arm.	en_US
dc.description.sponsorship	Office of Naval Research (N00014-92-J-1309)	en_US
dc.publisher	Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems	en_US
dc.relation.ispartofseries	BU CAS/CNS Technical Reports;CAS/CNS-TR-1993-055	en_US
dc.rights	Copyright 1993 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.	en_US
dc.title	A Network for Learning Kinematics with Application to Human Reaching Models	en_US
dc.type	Technical Report	en_US
dc.rights.holder	Boston University Trustees	en_US