Neural Comp. NEW Faster Access
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Piepenbrock, C.
Right arrow Articles by Obermayer, K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Piepenbrock, C.
Right arrow Articles by Obermayer, K.

Neural Computation, Vol 9, 959-970, Copyright © 1997 by The MIT Press

NOTES

The Joint Development of Orientation and Ocular Dominance: Role of Constraints

Christian Piepenbrock, Helge Ritter and Klaus Obermayer

Correlation-based learning (CBL) has been suggested as the mechanism that underlies the development of simple-cell receptive fields in the primary visual cortex of cats, including orientation preference (OR) and ocular dominance (OD) (Linsker, 1986; Miller, Keller, & Stryker, 1989). CBL has been applied successfully to the development of OR and OD individually (Miller, Keller, & Stryker, 1989; Miller, 1994; Miyashita & Tanaka, 1991; Erwin, Obermayer, & Schulten, 1995), but the conditions for their joint development have not been studied (but see Erwin & Miller, 1995, for independent work on the same question) in contrast to competitive Hebbian models (Obermayer, Blasdel, & Schulten, 1992). In this article, we provide insight into why this has been the case: OR and OD decouple in symmetric CBL models, and a joint development of OR and OD is possible only in a parameter regime that depends on nonlinear mechanisms.


This article has been cited by other articles:


Home page
 J. Neurophysiol.Home page
M. A. Carreira-Perpinan and G. J. Goodhill
Influence of Lateral Connections on the Structure of Cortical Maps
J Neurophysiol, November 1, 2004; 92(5): 2947 - 2959.
[Abstract] [Full Text] [PDF]

Home page
 Neural Comput.Home page
G. de A. Barreto, A. F. R. Araujo, and S. C. Kremer
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case
Neural Comput., June 1, 2003; 15(6): 1255 - 1320.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
A. B. Lee, B. Blais, H. Z. Shouval, and L. N Cooper
Statistics of lateral geniculate nucleus (LGN) activity determine the segregation of ON/OFF subfields for simple cells in visual cortex
PNAS, November 7, 2000; 97(23): 12875 - 12879.
[Abstract] [Full Text] [PDF]

Home page
 Neural Comput.Home page
E. T. Rolls and T. Milward
A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures
Neural Comput., November 1, 2000; 12(11): 2547 - 2572.
[Abstract] [Full Text]

Home page
 J. Neurosci.Home page
E. Erwin and K. D. Miller
Correlation-Based Development of Ocularly Matched Orientation and Ocular Dominance Maps: Determination of Required Input Activities
J. Neurosci., December 1, 1998; 18(23): 9870 - 9895.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 1997 by The MIT Press.