Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-10T08:11:48.322Z Has data issue: false hasContentIssue false
  • English
  • Français

Organization of texture segregation processing in primate visual cortex

Published online by Cambridge University Press:  02 June 2009

Victor A.F. Lamme ,
Bob W. van Dijk  and
Henk Spekreijse
Victor A.F. Lamme
Affiliation:
The Netherlands Ophthalmic Research Institute, P.O. Box 12141, 1100 AC Amsterdam, The Netherlands
Bob W. van Dijk
Affiliation:
The Netherlands Ophthalmic Research Institute, P.O. Box 12141, 1100 AC Amsterdam, The Netherlands The Laboratory of Medical Physics and Informatics, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands
Henk Spekreijse
Affiliation:
The Netherlands Ophthalmic Research Institute, P.O. Box 12141, 1100 AC Amsterdam, The Netherlands The Laboratory of Medical Physics and Informatics, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands
Get access Rights & Permissions [Opens in a new window]

Abstract

We investigated the intracortical organization of neuronal mass activity that is related to texture segregation on the basis of orientation contrast. Evoked potentials were recorded to a stimulus, signalling a contribution from texture segregation-sensitive mechanisms by means of specific response components. The specific components could only be recorded when textons had a spatial organization that leads to the percept of image segmentation. Equivalent dipole estimations of the specific response components suggested the presence of texture segregation-related activity in the primary visual cortex. These results were corroborated by current-source-density analysis of intracortical recordings in the awake monkey. A specific involvement of layers 2/3 and 5 of area 17 in the global process of image segmentation could be demonstrated.

Keywords

Texture segregationPrimary visual cortexCurrent-source-density analysisEvoked potentialsAwake monkey
Type
Research Articles
Information
Visual Neuroscience , Volume 10 , Issue 5 , September 1993 , pp. 781 - 790
Copyright
Copyright © Cambridge University Press 1993

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allman, J., Miezin, F. & McGuiness, E. (1985). Stimulus specific responses from beyond the classical receptive field: Neurophysiological mechanisms for local-global comparisons in visual neurons. Annual Review of Neuroscience 8, 407–430.CrossRefGoogle ScholarPubMed
Bach, M. & Meigen, T. (1990). Electrophysiological correlates of texture segmentation in the human visual evoked potential. Investigative Ophthalmology and Visual Science 31, Arvo Abstract #515.Google Scholar
Bach, M. & Meigen, T. (1992). Electrophysiological correlates of texture segregation in the human visual evoked potential. Vision Research 32, 417–424.CrossRefGoogle ScholarPubMed
Bergen, J.R. & Adelson, E.H. (1988). Early vision and texture perception. Nature 333, 363–364.CrossRefGoogle ScholarPubMed
Blasdel, G.G. & Fitzpatrick, D. (1984). Physiological organization of layer 4 in macaque striate cortex. Journal of Neuroscience 4, 880–895.CrossRefGoogle ScholarPubMed
Blasdel, G.G., Lund, J.S. & Fitzpatrick, D. (1985). Intrinsic connections of macaque striate cortex: Axonal projections of cells outside lamina 4C. Journal of Neuroscience 5, 3350–3369.CrossRefGoogle ScholarPubMed
Dagnelie, G., Spekreijse, H. & Van Dijk, B.W. (1989). Topography and homogeneity of monkey VI studied through subdurally recorded pattern-evoked potentials. Visual Neuroscience 3, 509–525.CrossRefGoogle Scholar
De Munck, J.C, Vijn, P.C.M. & Spekreijse, H. (1991). A practical method to determine electrode positions on the head. Electroencephalography and Clinical Neurophysiology 78, 85–87.CrossRefGoogle ScholarPubMed
Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M. & Reitboeck, H.J. (1988). Coherent oscillations: A mechanism of feature linking in the visual cortex? Biological Cybernetics 60, 121–130.CrossRefGoogle ScholarPubMed
Fox, J.M., Delbruck, T., Gallant, J.L., Anderson, C.H. & Van Essen, D.C. (1990). Modulation of classical receptive-field responses by moving texture backgrounds in monkey striate cortex: Spatial and temporal interactions. Society for Neuroscience Abstracts 16, #523.5.Google Scholar
Freeman, J.A. & Nicholson, C. (1975). Experimental optimization of current-source-density technique for anuran cerebellum. Journal of Neurophysiology 38, 369–382.CrossRefGoogle ScholarPubMed
Gilbert, C.D. & Wiesel, T.N. (1989). Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex. Journal of Neuroscience 9, 2432–2442.CrossRefGoogle ScholarPubMed
Gilbert, C.D. & Wiesel, T.N. (1990). The influence of contextual stimuli on the orientation selectivity of cells in primary visual cortex of the cat. Vision Research 30, 1689–1701.CrossRefGoogle ScholarPubMed
Golomb, B., Andersen, R.A., Nakayama, K., MacLeod, D.I.A. & Wong, A. (1985). Visual thresholds for shearing motion in monkey and man. Vision Research 25, 813–820.CrossRefGoogle ScholarPubMed
Gray, C.M., Konig, P., Engel, A.K. & Singer, W. (1989). Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature 338, 334–337.CrossRefGoogle ScholarPubMed
Julesz, B. (1984). A brief outline of the texton theory of human vision. Trends in Neurosciences 7, 41–45.CrossRefGoogle Scholar
Kisvarday, Z.F., Cowey, A., Smith, A.D. & Somogyi, P. (1989). Inter-laminar and lateral excitatory amino-acid connections in the striate cortex of monkey. Journal of Neuroscience 9, 667–682.CrossRefGoogle Scholar
Kraut, M.A., Arezzo, J.C. & Vaughan, H.G. Jr., (1985). Intracortical generators of the flash VEP in monkeys. Electroencephalography and Clinical Neurophysiology 62, 300–312.CrossRefGoogle ScholarPubMed
Krüger, J. & Aiple, F. (1989). The connectivity underlying the orientation selectivity in the infragranular layers of monkey striate cortex. Brain Research 477, 57–65.CrossRefGoogle ScholarPubMed
Lamme, V.A.F., Van Dijk, B.W. & Spekreijse, H. (1991). Texture segregation defined by orientation or direction of motion contrast is processed by primary visual cortex. Investigative Ophthalmology and Visual Science 32, Arvo Abstract #1185.Google Scholar
Lamme, V.A.F., Van Dijk, B.W. & Spekreijse, H. (1992). Texture segregation is processed by primary visual cortex in man and monkey. Evidence from VEP experiments. Vision Research 32, 797–807.CrossRefGoogle ScholarPubMed
Lesèvre, N. & Joseph, J.P. (1979). Modifications of the pattern-evoked potential in relation to the stimulated part of the visual field (clues for the most probable origin of each component). Electroencephalography and Clinical Neurophysiology 47, 183–203.CrossRefGoogle Scholar
Livingstone, M.S. & Hubel, D.H. (1984). Anatomy and physiology of a color system in the primate visual cortex. Journal of Neuroscience 4, 309–356.CrossRefGoogle ScholarPubMed
Luhmann, H.J., Greuel, J.M. & Singer, W. (1990). Horizontal interactions in cat striate cortex: II. A current-source-density analysis. European Journal of Neuroscience 2, 358–368.CrossRefGoogle Scholar
Lund, J.S. (1988). Anatomical organization of macaque monkey striate visual cortex. Annual Review of Neuroscience 11, 253–288.CrossRefGoogle ScholarPubMed
Maier, J., Dagnelie, G., Spekreijse, H. & Van Dijk, B.W. (1987). Principal component analysis for source localization of VEP's in man. Vision Research 27, 165–177.CrossRefGoogle Scholar
Michalski, A., Gerstein, G.L., Czarkowska, J. & Tarnecki, R. (1983). Interactions between cat striate cortex neurons. Experimental Brain Research 51, 97–107.CrossRefGoogle ScholarPubMed
Mitzdorf, U. (1985). Current-source-density method and application in cat cerebral cortex: Investigation of evoked potentials and EEG phenomena. Physiological Reviews 65, 37–100.CrossRefGoogle ScholarPubMed
Mumford, D. (1992). On the computational architecture of the neo-cortex. II. The role of cortico-cortical loops. Biological Cybernetics 66, 241–251.CrossRefGoogle Scholar
Nicholson, C. & Freeman, J.A. (1975). Theory of current-source-density analysis and determination of conductivity tensor for anuran cerebellum. Journal of Neurophysiology 38, 356–368.CrossRefGoogle ScholarPubMed
Nothdurft, H.C. (1990). Texton segregation by associated differences in global and local luminance distribution. Proceedings of the Royal Society B (London) 239, 295–320.Google ScholarPubMed
Rockland, K.S. & Lund, J.S. (1983). Intrinsic laminar lattice connections in primate visual cortex. Journal of Comparative Neurology 216, 303–318.CrossRefGoogle ScholarPubMed
Schimmel, H. (1967). The (+/−) reference: Accuracy of estimated mean components in average response studies. Science 157, 92–94.CrossRefGoogle ScholarPubMed
Schroeder, C.E., Tenke, C.E., Givre, S.J., Arezzo, J.C. & Vaughan, H.G. Jr., (1991). Striate cortical contribution to the surface recorded pattern reversal VEP in the alert monkey. Vision Research 31, 1143–1157.CrossRefGoogle Scholar
Ts'o, D.Y., Gilbert, C.D. & Wiesel, T.N. (1986). Relationships between horizontal interactions and functional architecture in cat striate cortex as revealed by cross-correlation analysis. Journal of Neuroscience 6, 1160–1170.CrossRefGoogle ScholarPubMed
Van Dijk, B.W. & Spekreijse, H. (1990). Localization of electric and magnetic sources of brain activity. In Visual Evoked Potentials, ed. Desmedt, J.E., pp. 57–74. Amsterdam: Elsevier Science Publishers.Google Scholar