JN Fuel your research with LabChart
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Neurophysiol 92: 2704-2713, 2004. First published July 21, 2004; doi:10.1152/jn.00060.2004
0022-3077/04 $5.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
92/5/2704    most recent
00060.2004v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (10)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Lampl, I.
Right arrow Articles by Riesenhuber, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lampl, I.
Right arrow Articles by Riesenhuber, M.

Intracellular Measurements of Spatial Integration and the MAX Operation in Complex Cells of the Cat Primary Visual Cortex

Ilan Lampl1,3, David Ferster3, Tomaso Poggio2 and Maximilian Riesenhuber2,4

1The Weizmann Institute of Science, Department of Neurobiology, Rehovot, 76100 Israel; 2Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, Center for Biological and Computational Learning, McGovern Institute for Brain Research, and Artificial Intelligence Laboratory, Cambridge, Massachusetts 02142; 3Northwestern University, Department of Neurobiology and Physiology, Evanston, Illinois 60208; and 4Georgetown University Medical Center, Department of Neuroscience, Washington, DC 20007

Submitted 20 January 2004; accepted in final form 30 June 2004

We have examined the spatial integration properties of complex cells to determine whether some of their responses can be described by a maximum operation (MAX)-like computation, as suggested by Riesenhuber and Poggio's model of object recognition. Membrane potential was recorded from anesthetized cats while optimally oriented bars were presented, either alone or in pairs, in different parts of the cells' receptive field. In most cells, the membrane potential response to two bars presented simultaneously could not be predicted by the sum of the responses to individual bars. In many cells, however, the responses closely approximated a MAX-like model. That is, the response of the cell to two bars was similar to the larger of the two individual responses ("soft-MAX"). The degree of nonlinear summation varied from cell to cell and varied within single cells from one stimulus configuration to another but on average fit most closely to the MAX model. The firing response of the cells was also well predicted by the MAX-like model. The MAX-like behavior was independent of the distance between the bars (orthogonal to the preferred orientation), independent of the relative amplitude of the responses, and slightly less pronounced at low levels of contrast. This MAX-like behavior of a subset of complex cells may play an important role in invariant object recognition in clutter.


Address for reprint requests and other correspondence: M. Riesenhuber, Georgetown University Medical Center, Research Building EP-09, 3970 Reservoir Rd. NW, Washington, DC 20007 (E-mail: mr287{at}georgetown.edu).




This article has been cited by other articles:


Home page
Neural Comput.Home page
M. Kouh and T. Poggio
A Canonical Neural Circuit for Cortical Nonlinear Operations
Neural Comput., June 1, 2008; 20(6): 1427 - 1451.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
I. M. Finn and D. Ferster
Computational Diversity in Complex Cells of Cat Primary Visual Cortex
J. Neurosci., September 5, 2007; 27(36): 9638 - 9648.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
R. Kiani, H. Esteky, K. Mirpour, and K. Tanaka
Object Category Structure in Response Patterns of Neuronal Population in Monkey Inferior Temporal Cortex
J Neurophysiol, June 1, 2007; 97(6): 4296 - 4309.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
J. C. Alvarado, J. W. Vaughan, T. R. Stanford, and B. E. Stein
Multisensory Versus Unisensory Integration: Contrasting Modes in the Superior Colliculus
J Neurophysiol, May 1, 2007; 97(5): 3193 - 3205.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
T. Serre, A. Oliva, and T. Poggio
A feedforward architecture accounts for rapid categorization
PNAS, April 10, 2007; 104(15): 6424 - 6429.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
D. Zoccolan, D. D. Cox, and J. J. DiCarlo
Multiple Object Response Normalization in Monkey Inferotemporal Cortex
J. Neurosci., September 7, 2005; 25(36): 8150 - 8164.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online
Copyright © 2004 by the The American Physiological Society.