Skip Navigation

This Article
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
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 Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (79)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Somers, D. C.
Right arrow Articles by Sur, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Somers, D. C.
Right arrow Articles by Sur, M.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Cerebral Cortex, Vol 8, 204-217, Copyright © 1998 by Oxford University Press

ARTICLES

A local circuit approach to understanding integration of long-range inputs in primary visual cortex

DC Somers, EV Todorov, AG Siapas, LJ Toth, DS Kim and M Sur
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139, USA. somers@ai.mit.edu

Integration of inputs by cortical neurons provides the basis for the complex information processing performed in the cerebral cortex. Here, we have examined how primary visual cortical neurons integrate classical and nonclassical receptive field inputs. The effect of nonclassical receptive field stimuli and, correspondingly, of long- range intracortical inputs is known to be context-dependent: the same long-range stimulus can either facilitate or suppress responses, depending on the level of local activation. By constructing a large- scale model of primary visual cortex, we demonstrate that this effect can be understood in terms of the local cortical circuitry. Each receptive field position contributes both excitatory and inhibitory inputs; however, the inhibitory inputs have greater influence when overall receptive field drive is greater. This mechanism also explains contrast-dependent modulations within the classical receptive field, which similarly switch between excitatory and inhibitory. In order to simplify analysis and to explain the fundamental mechanisms of the model, self-contained modules that capture nonlinear local circuit interactions are constructed. This work supports the notion that receptive field integration is the result of local processing within small groups of neurons rather than in single neurons.
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 J. Neurophysiol.Home page
B. Scholl, X. Gao, and M. Wehr
Level Dependence of Contextual Modulation in Auditory Cortex
J Neurophysiol, April 1, 2008; 99(4): 1616 - 1627.
[Abstract] [Full Text] [PDF]

Home page
 Cereb CortexHome page
X.-M. Song and C.-Y. Li
Contrast-Dependent and Contrast-Independent Spatial Summation of Primary Visual Cortical Neurons of the Cat
Cereb Cortex, February 1, 2008; 18(2): 331 - 336.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
N. R. Wilson, M. T. Ty, D. E. Ingber, M. Sur, and G. Liu
Synaptic Reorganization in Scaled Networks of Controlled Size
J. Neurosci., December 12, 2007; 27(50): 13581 - 13589.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
J. M. Ichida, L. Schwabe, P. C. Bressloff, and A. Angelucci
Response Facilitation From the "Suppressive" Receptive Field Surround of Macaque V1 Neurons
J Neurophysiol, October 1, 2007; 98(4): 2168 - 2181.
[Abstract] [Full Text] [PDF]

Home page
 Neural Comput.Home page
J. Rubin and K. Josic
The Firing of an Excitable Neuron in the Presence of Stochastic Trains of Strong Synaptic Inputs
Neural Comput., May 1, 2007; 19(5): 1251 - 1294.
[Abstract] [Full Text] [PDF]

Home page
 Cereb CortexHome page
J. Wielaard and P. Sajda
Extraclassical Receptive Field Phenomena and Short-Range Connectivity in V1
Cereb Cortex, November 1, 2006; 16(11): 1531 - 1545.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
L. Schwabe, K. Obermayer, A. Angelucci, and P. C. Bressloff
The Role of Feedback in Shaping the Extra-Classical Receptive Field of Cortical Neurons: A Recurrent Network Model
J. Neurosci., September 6, 2006; 26(36): 9117 - 9129.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
D. Tadin, J. S. Lappin, and R. Blake
Fine temporal properties of center-surround interactions in motion revealed by reverse correlation.
J. Neurosci., March 8, 2006; 26(10): 2614 - 2622.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
B. Zhang, J. Zheng, I. Watanabe, I. Maruko, H. Bi, E. L. Smith III, and Y. Chino
Delayed maturation of receptive field center/surround mechanisms in V2
PNAS, April 19, 2005; 102(16): 5862 - 5867.
[Abstract] [Full Text] [PDF]

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
 J. Cogn. Neurosci.Home page
M. W. Spratling and M. H. Johnson
A Feedback Model of Visual Attention
J. Cogn. Neurosci., February 1, 2004; 16(2): 219 - 237.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
J. Hegde and D. J. Felleman
How Selective Are V1 Cells for Pop-Out Stimuli?
J. Neurosci., November 5, 2003; 23(31): 9968 - 9980.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
D. Contreras and L. Palmer
Response to Contrast of Electrophysiologically Defined Cell Classes in Primary Visual Cortex
J. Neurosci., July 30, 2003; 23(17): 6936 - 6945.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
X.-J. Wang, Y. Liu, M. V. Sanchez-Vives, and D. A. McCormick
Adaptation and Temporal Decorrelation by Single Neurons in the Primary Visual Cortex
J Neurophysiol, June 1, 2003; 89(6): 3279 - 3293.
[Abstract] [Full Text] [PDF]

Home page
 Behav Cogn Neurosci RevHome page
S. Grossberg
How does the cerebral cortex work? development, learning, attention, and 3-D vision by laminar circuits of visual cortex.
Behav Cogn Neurosci Rev, March 1, 2003; 2(1): 47 - 76.
[Abstract] [PDF]

Home page
 J. Neurophysiol.Home page
T. R. Tucker and L. C. Katz
Recruitment of Local Inhibitory Networks by Horizontal Connections in Layer 2/3 of Ferret Visual Cortex
J Neurophysiol, January 1, 2003; 89(1): 501 - 512.
[Abstract] [Full Text] [PDF]

Home page
 Cereb CortexHome page
J. S. Lund, A. Angelucci, and P. C. Bressloff
Anatomical Substrates for Functional Columns in Macaque Monkey Primary Visual Cortex
Cereb Cortex, January 1, 2003; 13(1): 15 - 24.
[Abstract] [Full Text] [PDF]

Home page
 Cereb CortexHome page
R. D. S. Raizada and S. Grossberg
Towards a Theory of the Laminar Architecture of Cerebral Cortex: Computational Clues from the Visual System
Cereb Cortex, January 1, 2003; 13(1): 100 - 113.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
R. A. W. Galuske, K. E. Schmidt, R. Goebel, S. G. Lomber, and B. R. Payne
The role of feedback in shaping neural representations in cat visual cortex
PNAS, December 24, 2002; 99(26): 17083 - 17088.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
J. R. Cavanaugh, W. Bair, and J. A. Movshon
Nature and Interaction of Signals From the Receptive Field Center and Surround in Macaque V1 Neurons
J Neurophysiol, November 1, 2002; 88(5): 2530 - 2546.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
H. E. Jones, W. Wang, and A. M. Sillito
Spatial Organization and Magnitude of Orientation Contrast Interactions in Primate V1
J Neurophysiol, November 1, 2002; 88(5): 2796 - 2808.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
B. Godde, R. Leonhardt, S. M. Cords, and H. R. Dinse
Plasticity of orientation preference maps in the visual cortex of adult cats
PNAS, April 30, 2002; 99(9): 6352 - 6357.
[Abstract] [Full Text] [PDF]

Home page
 Neural Comput.Home page
P. C. Bressloff and J. D. Cowan
An Amplitude Equation Approach to Contextual Effects in Visual Cortex
Neural Comput., March 1, 2002; 14(3): 493 - 525.
[Abstract] [Full Text]

Home page
 J. Neurosci.Home page
S. G. Solomon, A. J. R. White, and P. R. Martin
Extraclassical Receptive Field Properties of Parvocellular, Magnocellular, and Koniocellular Cells in the Primate Lateral Geniculate Nucleus
J. Neurosci., January 1, 2002; 22(1): 338 - 349.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
H. E. Jones, K. L. Grieve, W. Wang, and A. M. Sillito
Surround Suppression in Primate V1
J Neurophysiol, October 1, 2001; 86(4): 2011 - 2028.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
M. P. Sceniak, M. J. Hawken, and R. Shapley
Visual Spatial Characterization of Macaque V1 Neurons
J Neurophysiol, May 1, 2001; 85(5): 1873 - 1887.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
J. S. Anderson, I. Lampl, D. C. Gillespie, and D. Ferster
Membrane Potential and Conductance Changes Underlying Length Tuning of Cells in Cat Primary Visual Cortex
J. Neurosci., March 15, 2001; 21(6): 2104 - 2112.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
V. Dragoi and M. Sur
Dynamic Properties of Recurrent Inhibition in Primary Visual Cortex: Contrast and Orientation Dependence of Contextual Effects
J Neurophysiol, February 1, 2000; 83(2): 1019 - 1030.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
D. C. Somers, A. M. Dale, A. E. Seiffert, and R. B. H. Tootell
Functional MRI reveals spatially specific attentional modulation in human primary visual cortex
PNAS, February 16, 1999; 96(4): 1663 - 1668.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
B. Godde, R. Leonhardt, S. M. Cords, and H. R. Dinse
Plasticity of orientation preference maps in the visual cortex of adult cats
PNAS, April 30, 2002; 99(9): 6352 - 6357.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.