A Unifying Objective Function for Topographic Mappings-Reference-Cited by-同舟云学术

A Unifying Objective Function for Topographic Mappings

Published:1997-08-01 Issue:6 Volume:9 Page:1291-1303
ISSN:0899-7667
Container-title:Neural Computation
language:en
Short-container-title:Neural Computation

Author:

Goodhill Geoffrey J.¹,Sejnowski Terrence J.²

Affiliation:

1. Sloan Center for Theoretical Neurobiology, Salk Institute for Biological Studies, La Jolla, CA 92037, U.S.A. and Georgetown Institute for Cognitive and Computational Sciences, Georgetown University Medical Center, Washington, DC 20007, U.S.A.

2. The Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, U.S.A. and Department of Biology, University of California San Diego, La Jolla, CA 92037, U.S.A.

Abstract

Many different algorithms and objective functions for topographic mappings have been proposed. We show that several of these approaches can be seen as particular cases of a more general objective function. Consideration of a very simple mapping problem reveals large differences in the form of the map that each particular case favors. These differences have important consequences for the practical application of topographic mapping methods.

Publisher

MIT Press - Journals

Subject

Cognitive Neuroscience,Arts and Humanities (miscellaneous)

Link

https://www.mitpressjournals.org/doi/pdf/10.1162/neco.1997.9.6.1291

Reference23 articles.

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