Neural Comp. Sign up for ETOCS
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text
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 Blais, B.
Right arrow Articles by Shouval, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Blais, B.
Right arrow Articles by Shouval, H.
(Neural Computation. 2000;12:1057-1066.)
© 2000 The MIT Press


Note

Formation of Direction Selectivity in Natural Scene Environments

Brian Blais

Departments of Physics and Neuroscience, Institute for Brain and Neural Systems, Brown University, Providence, RI 02912, U.S.A.

Leon N. Cooper

Departments of Physics and Neuroscience, Institute for Brain and Neural Systems, Brown University, Providence, RI 02912, U.S.A.

Harel Shouval

Departments of Physics and Neuroscience, Institute for Brain and Neural Systems, Brown University, Providence, RI 02912, U.S.A.

Most simple and complex cells in the cat striate cortex are both orientation and direction selective. In this article we use single-cell learning rules to develop both orientation and direction selectivity in a natural scene environment. We show that a simple principal component analysis rule is inadequate for developing direction selectivity, but that the BCM rule as well as similar higher-order rules can. We also demonstrate that the convergence of lagged and nonlagged cells depends on the velocity of motion in the environment, and that strobe rearing disrupts this convergence, resulting in a loss of direction selectivity.




This article has been cited by other articles:


Home page
Neural Comput.Home page
C.-H. Mo, M. Gu, and C. Koch
A Learning Rule for Local Synaptic Interactions Between Excitation and Shunting Inhibition
Neural Comput., December 1, 2004; 16(12): 2507 - 2532.
[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 HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 2000 by The MIT Press.