A Self-Organizing Neural Network for Learning a Body-Centered Invariant Representation of 3-D Target Position
Date
1993-01
DOI
Authors
Bullock, Daniel
Greve, Douglas
Grossberg, Stephen
Guenther, Frank H.
Version
OA Version
Citation
Abstract
This paper describes a self-organizing neural network that rapidly learns a body-centered representation of 3-D target positions. This representation remains invariant under head and eye movements, and is a key component of sensory-motor systems for producing motor equivalent reaches to targets (Bullock, Grossberg, and Guenther, 1993).
Description
License
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.