Abstract
A binocular model describing the ontogenetic development in the visual nervous system is presented. It consists of a set of deterministic differential equations which have been derived from an statistical approach. The evolution of the solution is led by the spontaneous generation of input activity, characterized in this model by its spatial and temporal decorrelation. The development of a connection depends on the output activity of both connected neurons; for this purpose, Hebbian and anti-Hebbian learning have been used. The model can explain some properties observed in natural brains such as the appearance of ocular domains and orientation selectivity in the V1 visual cortex development.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M. A. Andrade, and F. Morán. Structural study of the development of ocularity domains using a neural network model. Biol. Cybernetics., 74:243–254, 1996.
M. A. Andrade, and F. Morán. Receptive field map development by anti-hebbian learning. Neural Networks, 10(6):1037–1052, 1997.
D. O. Hebb. The Organization of Behaviour, chapter Introduction, 4:The first stage of perception: growth New York: Wiley, 1949.
T. Kohonen. Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43:59–69, 1982.
R. Linsker. From basic network principles to neural architecture: Emergence of orientation-sective cells. Proc. Natl. Acad. Sci., 83:8390–8394, 1986.
R. Linsker. From basic network principles to neural architecture: Emergence of orientation-columns. Proc. Natl. Acad. Sci., 83:8779–8783, 1986.
R. Linsker. From basic network principles to neural architecture: Emergence of spatial-opponent cells. Proc. Natl. Acad. Sci., 83:7508–7512, 1986.
K. D. Miller. Development of orientation columns via competition between on-and off-center inputs. Neuro Report, 3:73–76, 1992.
K. D. Miller. A model for the development of simple cells receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between on-and off center inputs. Journal of Neuroscience, 14(1):409–441, 1994.
K. D. Miller, J. B. Keller, and M. P. Stryker. Ocular dominance column development; analysis and simulation. Science, 245:605–615, 1989.
E. Oja. A simplified neuron model as a principal component analyzer. Journal of Mathematical Biology, 15:267–273, 1982.
S. J. Olson, and S. Grossberg. A neural network model for the development of simple and complex cell receptive fields within cortical maps of orientation and ocular dominance. Neural Networks, 11:189–208, 1998.
J. Sirosh, and R. Miikkulainen. Topographic receptive fields and patterned lateral interaction in a self-organizing model of the primary visual cortex. Neural Computation, 9:577–594, 1996.
N. V. Swindale. The development of topography in the visual cortex: a review of models. Network: Computation in Neural Systems, 7:161–247, 1996.
C. von der Malsburg. Self-organization of orientation sensitive cells in the striate cortex. Kybernetik, 14:85–100, 1973.
C. von der Malsburg. Development of ocular domains and growth behaviour of axon terminals. Biological Cybernetics, 32:49–62, 1979.
C. von der Malsburg, and D. J. Willshaw. A mechanish for producing continous neural mappings: ocularity dominance stripes and ordered retino-tectal projections. Exp. Brain Res. Suppl., 1:463–469, 1976.
B. A. Wandell. Foundations of Vision, chapter 6, page 160. Sinauer Associates, Inc, 1995.
M. Weliky, and L. C. Katz. Disruption of orientation tuning in visual cortex by artificially correlated neuronal activity. Nature, 386:680–685, 1997.
S. Zeki. A Vision of the Brain, chapter 3, pages 41–49. Blackwell Scientific Publications, Oxford, 1995.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Muro, E.M., Andrade, M.A., Isasi, P., Morán, F. (1999). A self-organizing model for the development of ocular dominance and orientation columns in the visual cortex. In: Mira, J., Sánchez-Andrés, J.V. (eds) Foundations and Tools for Neural Modeling. IWANN 1999. Lecture Notes in Computer Science, vol 1606. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0098165
Download citation
DOI: https://doi.org/10.1007/BFb0098165
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66069-9
Online ISBN: 978-3-540-48771-5
eBook Packages: Springer Book Archive