Self-organization and functional role of lateral connections and multisize receptive fields in the primary visual cortex

Cells in the visual cortex are selective not only to ocular dominance and orientation of the input, but also to its size and spatial frequency. The simulations reported in this paper show how size selectivity could develop through Hebbian self-organization, and how receptive fields of different sizes could organize into columns like those for orientation and ocular dominance. The lateral connections in the network self-organize cooperatively and simultaneously with the receptive field sizes, and produce patterns of lateral connectivity that closely follow the receptive field organization. Together with our previous work on ocular dominance and orientation selectivity, these results suggest that a single Hebbian self-organizing process can give rise to all the major receptive field properties in the visual cortex, and also to structured patterns of lateral interactions, some of which have been verified experimentally and others predicted by the model. The model also suggests a functional role for the self-organized structures: The afferent receptive fields develop a sparse coding of the visual input, and the recurrent lateral interactions eliminate redundancies in cortical activity patterns, allowing the cortex to efficiently process massive amounts of visual information.

[1]  D. Hubel,et al.  Receptive fields of single neurones in the cat's striate cortex , 1959, The Journal of physiology.

[2]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[3]  G. F. Cooper,et al.  The spatial selectivity of the visual cells of the cat , 1969, The Journal of physiology.

[4]  H B Barlow,et al.  Single units and sensation: a neuron doctrine for perceptual psychology? , 1972, Perception.

[5]  R Bäuerle [Vibrotactile information transfer using sequences of binary signals]. , 1974, Kybernetik.

[6]  M. Silverman,et al.  Spatial frequency columns in primary visual cortex. , 1981, Science.

[7]  T. Kohonen Self-organized formation of topographically correct feature maps , 1982 .

[8]  K. D. De Valois,et al.  Spatial‐frequency‐specific inhibition in cat striate cortex cells. , 1983, The Journal of physiology.

[9]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .

[10]  E. Switkes,et al.  Functional anatomy of macaque striate cortex. V. Spatial frequency , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[11]  E. Switkes,et al.  Functional anatomy of macaque striate cortex. II. Retinotopic organization , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[12]  K. Miller,et al.  Ocular dominance column development: analysis and simulation. , 1989, Science.

[13]  M. Silverman,et al.  Spatial-frequency organization in primate striate cortex. , 1989, Proceedings of the National Academy of Sciences of the United States of America.

[14]  T. Wiesel,et al.  Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[15]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory, Third Edition , 1989, Springer Series in Information Sciences.

[16]  A. B. Bonds,et al.  Inhibitory refinement of spatial frequency selectivity in single cells of the cat striate cortex , 1991, Vision Research.

[17]  W. Singer,et al.  Selection of intrinsic horizontal connections in the visual cortex by correlated neuronal activity. , 1992, Science.

[18]  K. Obermayer,et al.  Statistical-mechanical analysis of self-organization and pattern formation during the development of visual maps. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[19]  L C Katz,et al.  Development of local circuits in mammalian visual cortex. , 1992, Annual review of neuroscience.

[20]  A. Grinvald,et al.  Relationship between intrinsic connections and functional architecture revealed by optical imaging and in vivo targeted biocytin injections in primate striate cortex. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[21]  A. Burkhalter,et al.  Development of local circuits in human visual cortex , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[22]  Risto Miikkulainen,et al.  Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex , 1994, NIPS.

[23]  KD Miller A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputs , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[24]  David J. Field,et al.  What Is the Goal of Sensory Coding? , 1994, Neural Computation.

[25]  Risto Miikkulainen,et al.  Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex , 1997, Neural Computation.

[26]  Terrence J. Sejnowski,et al.  Unsupervised Learning , 2018, Encyclopedia of GIS.

[27]  Teuvo Kohonen,et al.  Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.

[28]  Geoffrey J. Goodhill,et al.  Topography and ocular dominance: a model exploring positive correlations , 1993, Biological Cybernetics.

[29]  Trichur Raman Vidyasagar,et al.  Function of GABAA inhibition in specifying spatial frequency and orientation selectivities in cat striate cortex , 2004, Experimental Brain Research.

[30]  C. Malsburg Self-organization of orientation sensitive cells in the striate cortex , 2004, Kybernetik.

[31]  Risto Miikkulainen,et al.  Cooperative self-organization of afferent and lateral connections in cortical maps , 1994, Biological Cybernetics.

[32]  RussLL L. Ds Vnlos,et al.  SPATIAL FREQUENCY SELECTIVITY OF CELLS IN MACAQUE VISUAL CORTEX , 2022 .