Abstract
Neurons in primary visual cortex (V1) respond differently to a simple visual element presented in isolation from when it is embedded withina complex image. This difference, a specific modulation by surrounding elements in the image, is mediated by short- and long-range connections within V1 and by feedback from other areas. Here we study the role of short-range connections in this process, and relate it to the layout of local inhomogeneities in the cortical maps of orientation and space. By measuring correlation between neuron pairs located in optically imaged maps of V1 orientation columns we show that the strength of local connections between cells is a graded function of lateral separation across cortex, largely radially symmetrical and relatively independent of orientation preferences. We then show the contextual influence of flanking visual elements on neuronal responses varies systematically with a neuron's position within the cortical orientation map. The strength of this contextual influence on a neuron can be predicted from a model of local connections based on simple overlap with particular features of the orientation map. This indicates that local intracortical circuitry could endow neurons with a graded specialization for processing angular visual features such as corners and T junctions, and this specialization could have its own functional cortical map, linked with the orientation map.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Gilbert, C. D. Adult cortical dynamics Physiol. Rev. 78, 467–485 (1998).
Kapadia, M. K., Ito, M., Gilbert, C. D. & Westheimer, G. Improvement in visual sensitivity by changes in local context: parallel studies in human observers and in V1 of alert monkeys. Neuron 15, 843–856 (1995).
Gilbert, C. D. Horizontal integration and cortical dynamics. Neuron 9, 1–13 (1992).
Polat, U., Mizobe, K., Pettet, M. W., Kasamatsu, T. & Norcia, A. M. Collinear stimuli regulate visual responses depending on cell's contrast threshold. Nature 391, 580–584 (1998).
Wertheimer, M. Laws of Organization in Perceptual Forms(Harcourt, Brace and Jovanovich, London, 1938).
Ullman, S. Three-dimensional object recognition. Cold Spring Harbor Symp. Quant. Biol. 55, 889–898 (1990).
Field, D. J., Hayes, A. & Hess, R. F. Contour integration by the human visual systems: evidence for a local “association field”. Vision Res. 33, 173–193 (1993).
Hubel, D. H. & Wiesel, T. N. Sequence regularity and geometry of orientation columns in the monkey striate cortex. J. Comp. Neurol. 158, 267–294 ( 1974).
Ts'o, D. Y., Frostig, R. D., Lieke, E. E. & Grinvald, A. Functional organization of primate visual cortex revealed by high resolution optical imaging. Science 249, 417– 420 (1990).
Blasdel, G. G. & Salama, G. Voltage-sensitive dyes reveal a modular organization in monkey striate cortex. Nature 321, 579–585 ( 1986).
Bonhoeffer, T. & Grinvald, A. Iso-orientation domains in cat visual cortex are arranged in pinwheel-like patterns. Nature 353, 429–431 ( 1991).
Das, A. & Gilbert, C. D. Distortions of visuotopic map match orientation singularities in primary visual cortex. Nature 387, 594–598 ( 1997).
Malach, R., Amir, Y., Harel, M. & Grinvald, A. Relationship between intrinsic connections and functional architecture revealed by optical imaging and in vivo targeted biocytin injections in primate striate cortex. Proc. Natl Acad. Sci. USA 90, 10469– 10473 (1993).
Malach, R. Dendritic sampling across processing streams in monkey striate cortex. J. Comp. Neurol. 315, 303–312 (1992).
Hubener, M. & Bolz, J. Relationships between dendritic morphology and cytochrome oxidase compartments in monkey striate cortex. J. Comp. Neurol. 324, 67–80 (1992).
Katz, L. C., Gilbert, C. D. & Wiesel, T. N. Local circuits and ocular dominance columns in monkey striate cortex. J. Neurosci. 9, 1389– 1399 (1989).
Bosking, W. H., Zhang, Y., Schofield, B. & Fitzpatrick, D. Orientation selectivity and arrangement of horizontal connections in tree shrew striate cortex. J. Neurosci. 17, 2112– 2127 (1997).
Sillito, A. M., Grieve, K. L., Jones, H. L., Cuderio, J. & Davis, J. Visual cortical mechanisms detecting focal orientation discontinuities. Nature 378, 492–496 (1995).
Shevelev, I. A., Novikova, R. V., Lazareva, N. A., Tikhomirov, A. S. & Sharaev, G. A. Sensitivity to cross-like figures in the cat striate neurons. Neuroscience 69, 51–57 ( 1995).
Shevelev, I. A., Lazareva, N. A., Sharaev, G. A., Novikova, R. V. & Tikhomirov, A. S. Selective and invariant sensitivity to crosses and corners in cat striate cortex neurons. Neuroscience 84, 713–721 (1998).
Gilbert, C. D. & Wiesel, T. N. Morphology and intracortical projections of functionally characterised neurones in the cat visual cortex. Nature 280, 120– 125 (1979).
Gilbert, C. D. & Wiesel, T. N. Clustered intrinsic connections in cat visual cortex. J. Neurosci. 3, 1116–1133 (1983).
Ts'o, D. Y., Gilbert, C. D. & Wiesel, T. N. Relationships between horizontal corticocortical connections in cat visual cortex. J. Neurosci. 9, 2432–2442 (1989).
Gilbert, C. D. & Wiesel, T. N. Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex. J. Neurosci. 9, 2432–2442 (1989).
Grinvald, A., Lieke, E. E., Frostig, R. D., Gilbert, C. D. & Wiesel, T. N. Functional architecture of cortex revealed by optical imaging of intrinsic signals. Nature 324, 361–364 (1986).
Frostig, R. D., Lieke, E. E., Ts'o, D. Y. & Grinvald, A. Cortical functional architecture and local coupling between neuronal activity and the microcirculation revealed by in vivo high resolution optical imaging of intrinsic signals. Proc. Natl Acad. Sci. USA 6082 –6086 (1990).
Das, A. & Gilbert, C. D. Receptive field expansion in adult visual cortex is linked to dynamic changes in strength of cortical connections. J. Neurophysiol. 74, 779– 792 (1995).
Aertsen, A. M. H. J. & Gerstein, G. L. Evaluation of neuronal connectivity: sensitivity of crosscorrelation. Brain Res. 340, 341–354 ( 1985).
Perkel, D. H., Gerstein, G. L. & Moore, G. P. Neuronal spike trains and stochastic point processes. I Thesingle spike train. Biophys. J. 7, 391–418 (1967).
Perkel, D. H., Gerstein, G. L. & Moore, G. P. Neuronal spike trains and stochastic point processes. II Simultaneous spike trains. Biophys. J. 7, 419–440 (1967).
Melssen, W. J. & Epping, W. J. M. Detection and estimation of neuronal connectivity based on crosscorrelation analysis. Biol. Cybern. 57, 403– 414 (1987).
Hata, Y., Tsumoto, T., Sato, H. & Tamura, H. Horizontal interactions between visual cortical neurones studied by cross-correlation analysis in the cat. J. Physiol. 441, 593– 614 (1991).
Kisvarday, Z. F. et al . Synaptic targets of HRP-filled layer III pyramidal cells in the cat striate cortex. Exp. Brain Res. 64, 541–552 (1986).
McGuire, B. A., Gilbert, C. D., Rivlin, P. K. & Wiesel, T. N. Targets of horizontal connections in macaque primary visual cortex. J. Comp. Neurol. 305, 370–392 (1991).
Hirsch, J. & Gilbert, C. D. Synaptic physiology of horizontal connections in the cat's visual cortex. J. Neurosci. 11, 1800–1908 (1991).
Malach, R. Cortical columns as devices for maximizing neuronal diversity. Trends Neurosci. 17, 101–104 (1994).
Bauer, U., Scholz, M., Levitt, J. B., Obermayer, K. & Lund, J. S. Amodel for the depth-dependence of receptive field size and contrast sensitivity of cells in layer 4C of macaque striate cortex. Vision Res. 39, 613– 629 (1999).
Hubel, D. H. & Wiesel, T. N. Functional architecture of macaque monkey visual cortex. Proc. R. Soc. Lond. B 198, 1–59 (1977).
Ito, M. & Gilbert, C. D. Attention modulates contextual influences in the primary visual cortex of alert monkeys. Neuron 22, 593–604 ( 1999).
Crist, R. E., Ito, M., Westheimer, G. & Gilbert, C. D. Task dependent contextual interactions in the primary visual cortex of primates trained in hyperacuity discrimination. Abstr. Soc. Neurosci. 23 , 1543 (1997).
Ito, M., Westheimer, G. & Gilbert, C. D. Attention and perceptual learning modulate contextual influences on visual perception. Neuron 20, 1191–1197 (1998).
Sompolinsky, H. & Shapley, R. New perspectives on the mechanism for orientation selectivity. Curr. Opin. Neurobiol. 7, 514–522 ( 1997).
Crook, J. M., Kisvárday, Z. F. & Eysel, U. T. GABA-induced inactivation of functionally characterized sites in cat striate cortex: effects on orientation tuning and direction selectivity. Vis. Neurosci. 14, 141– 158 (1997).
Crook, J. M., Kisvárday, Z. F. & Eysel, U. T. Evidence for a contribution of lateral inhibition to orientation tuning and direction selectivity in cat visual cortex: reversible inactivation of functionally characterized sites combined with neuroanatomical tracing techniques. Eur. J. Neurosci. 10, 2056–2075 (1998).
Gawne, T. J., Kjaer, T. W., Hertz, J. A. & Richmond, B. J. Adjacent visual cortical complex cells share about 20% of their stimulus-related information. Cerebral Cortex 6, 482– 489 (1996).
Acknowledgements
We thank A. Glatz and J. Lopez for expert technical assistance. The work was supported by the National Science Foundation.
Author information
Authors and Affiliations
Corresponding author
Supplementary Information
Rights and permissions
About this article
Cite this article
Das, A., Gilbert, C. Topography of contextual modulations mediated by short-range interactions in primary visual cortex. Nature 399, 655–661 (1999). https://doi.org/10.1038/21371
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1038/21371
This article is cited by
-
The effects of distractors on brightness perception based on a spiking network
Scientific Reports (2023)
-
A bio-inspired contour detection model using multiple cues inhibition in primary visual cortex
Multimedia Tools and Applications (2022)
-
Revisiting horizontal connectivity rules in V1: from like-to-like towards like-to-all
Brain Structure and Function (2022)
-
Early biological vision inspired system for salience computation in images
Multidimensional Systems and Signal Processing (2018)
-
Eye position information is used to compensate the consequences of ocular torsion on V1 receptive fields
Nature Communications (2014)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.