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. 2009 Dec;5(12):e1000625.
doi: 10.1371/journal.pcbi.1000625. Epub 2009 Dec 24.

Hyperbolic planforms in relation to visual edges and textures perception

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Hyperbolic planforms in relation to visual edges and textures perception

Pascal Chossat et al. PLoS Comput Biol. 2009 Dec.

Abstract

We propose to use bifurcation theory and pattern formation as theoretical probes for various hypotheses about the neural organization of the brain. This allows us to make predictions about the kinds of patterns that should be observed in the activity of real brains through, e.g., optical imaging, and opens the door to the design of experiments to test these hypotheses. We study the specific problem of visual edges and textures perception and suggest that these features may be represented at the population level in the visual cortex as a specific second-order tensor, the structure tensor, perhaps within a hypercolumn. We then extend the classical ring model to this case and show that its natural framework is the non-Euclidean hyperbolic geometry. This brings in the beautiful structure of its group of isometries and certain of its subgroups which have a direct interpretation in terms of the organization of the neural populations that are assumed to encode the structure tensor. By studying the bifurcations of the solutions of the structure tensor equations, the analog of the classical Wilson and Cowan equations, under the assumption of invariance with respect to the action of these subgroups, we predict the appearance of characteristic patterns. These patterns can be described by what we call hyperbolic or H-planforms that are reminiscent of Euclidean planar waves and of the planforms that were used in previous work to account for some visual hallucinations. If these patterns could be observed through brain imaging techniques they would reveal the built-in or acquired invariance of the neural organization to the action of the corresponding subgroups.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Geometric interpretation of the distance between two tensors.
The two structure tensors formula image and formula image are represented by the elliptic blobs shown in the lefthand side of the figure. After the change of coordinates defined by the matrix formula image, formula image is represented by the unit disk and the principal axes of formula image are equal to the eigenvalues formula image and formula image that appear in (6), see text.
Figure 2
Figure 2. The orbits in the Poincaré disk of the three groups , and .
Figure 3
Figure 3. Simple transformations in the image plane.
The coordinate system formula image which is used to estimate the image derivatives and some of its transformations under the action of some elements of formula image (see text).
Figure 4
Figure 4. Horocyclic coordinates.
The horocyclic coordinates of the point formula image of formula image are the real values formula image and formula image such that formula image. The horocycle through formula image is the circle tangent to formula image at formula image and going through formula image. formula image is equal to the (hyperbolic) signed distance formula image between the origin formula image and the point formula image which is equal to formula image and is negative if formula image is inside the circle of diameter formula image and positive otherwise.
Figure 5
Figure 5. A periodic H-planform.
A representation of the periodic H-planform formula image. The color represents the value of the magnitude of formula image for z varying in formula image. The periodicity is to be understood in terms of the hyperbolic distance formula image. The hyperbolic distance between two consecutive points of intersection of the, say yellow, circles with the horizontal axis is the same. It does not look so to our “Euclidean” eyes and the distances look shorter when these points get closer to the point formula image on the right and to the point formula image of formula image on the left. These points are actually at an infinite distance from the center formula image of formula image.
Figure 6
Figure 6. Color representation of the complex valued function .
Real (blue) and imaginary (red) parts of formula image defined in equation (24) for formula image H-planforms, formula image, see text. We chose formula image, formula image, formula image and formula image in equation (3.
Figure 7
Figure 7. Color representation of the complex valued function .
Real (blue) and imaginary (red) parts of formula image defined in equation (24) for formula image H-planforms, formula image, see text. We chose formula image, formula image, formula image and formula image and formula image in equation (3.
Figure 8
Figure 8. An example of an H-planform which is invariant with respect to the octagonal Fuchsian group.
We have superimposed two fundamental domains: in the center the “main” one containing the origin, to its right another fundamental domain that shows the Euclidean distorsion due to the increase in the hyperbolic distance. In effect these two octagons can be exactly superimposed through the action of a hyperbolic isometry. The color encodes the value of the H-planform, blue indicates negative values, red indicate positive values, green indicates values close to 0.
Figure 9
Figure 9. Zoom on the first “octant” of the Poincaré disk.
It is at a higher spatial resolution than figure 8. In particular for the second octagon, the one to the right of the “main” one, it shows better the relationship between the intensity patterns within the two octagons.

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References

    1. Marr D. Vision. W.H. Freeman and Co; 1982.
    1. Koenderink J, van Doorn A. Representation of local geometry in the visual system. Biological Cybernetics. 1987;55:367–375. - PubMed
    1. Florack L, Romeny BtH, Viergever M, Koenderink J. The Gaussian scale-space paradigm and the multiscale local jet. The International Journal of Computer Vision. 1996;18:61–75.
    1. Pratt W. Digital Image Processing. New York: John Wiley & Sons; 1978.
    1. Ballard D, Brown C. Computer Vision. Englewood Cliffs, New Jersey: Prentice-Hall; 1982.

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