A Network for Learning Kinematics with Application to Human Reaching Models


Autoria(s): Fiala, John C.
Data(s)

14/11/2011

14/11/2011

01/10/1993

Resumo

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.

Office of Naval Research (N00014-92-J-1309)

Identificador

http://hdl.handle.net/2144/2032

Publicador

Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems

Relação

BU CAS/CNS Technical Reports;CAS/CNS-TR-1993-055

Direitos

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.

Boston University Trustees

Tipo

Technical Report