Inhomogeneous retino-cortical mapping is supported and stabilized with correlation-learning during self-motion

In primates, the area of primary visual cortex representing a fixed area of visual space decreases with increasing eccentricity. We identify visual situations to which this inhomogeneous retino-cortical mapping is well adapted and study their relevance during natural vision and development. We assume that cortical activations caused by stationary objects during self-motion along the direction of gaze travel on average with constant speed across the cortical surface, independent of retinal eccentricity. This is the case if the distribution of objects corresponds to an ellipsoid with the observer in its center. We apply the resulting flow field to train a simple network of pulse coding neurons with Hebbian learning and demonstrate that the density of learned receptive field centers is in close agreement with primate retino-cortical magnification. In addition, the model reproduces the increase of receptive field size and the decrease of its peak sensitivity with increasing eccentricity. Our results suggest that self-motion may have played an important role in the evolution of the visual system and that cortical magnification can be refined and stabilized by Hebbian learning mechanisms in ontogenesis under natural viewing conditions.

[1]  C. Enroth-Cugell,et al.  Receptive field properties of X and Y cells in the cat retina derived from contrast sensitivity measurements , 1982, Vision Research.

[2]  T. Wiesel,et al.  Morphology and intracortical projections of functionally characterised neurones in the cat visual cortex , 1979, Nature.

[3]  R. Vautin,et al.  Magnification factor and receptive field size in foveal striate cortex of the monkey , 2004, Experimental Brain Research.

[4]  Jean Bennett,et al.  Lateral Connectivity and Contextual Interactions in Macaque Primary Visual Cortex , 2002, Neuron.

[5]  J. Rovamo,et al.  Visual resolution, contrast sensitivity, and the cortical magnification factor , 2004, Experimental Brain Research.

[6]  John H. R. Maunsell,et al.  The visual field representation in striate cortex of the macaque monkey: Asymmetries, anisotropies, and individual variability , 1984, Vision Research.

[7]  D. Whitteridge,et al.  The representation of the visual field on the cerebral cortex in monkeys , 1961, The Journal of physiology.

[8]  Reinhard Eckhorn,et al.  Lateral spike conduction velocity in the visual cortex affects spatial range of synchronization and receptive field size without visual experience: a learning model with spiking neurons , 2000, Biological Cybernetics.

[9]  D. Hubel,et al.  Uniformity of monkey striate cortex: A parallel relationship between field size, scatter, and magnification factor , 1974, The Journal of comparative neurology.

[10]  J. Rovamo,et al.  Cortical magnification factor predicts the photopic contrast sensitivity of peripheral vision , 1978, Nature.

[11]  J. Rovamo,et al.  An estimation and application of the human cortical magnification factor , 2004, Experimental Brain Research.

[12]  VEIJO VIRSU,et al.  Cortical Magnification, Scale Invariance and Visual Ecology , 1996, Vision Research.

[13]  Reinhard Eckhorn,et al.  Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex , 1990, Neural Computation.

[14]  A. A. Skavenski,et al.  Recovery of visual responses in foveal V1 neurons following bilateral foveal lesions in adult monkey , 2004, Experimental Brain Research.

[15]  A. B. Bonds,et al.  Modeling receptive-field structure of koniocellular, magnocellular, and parvocellular LGN cells in the owl monkey (Aotus trivigatus) , 2002, Visual Neuroscience.

[16]  L. Croner,et al.  Receptive fields of P and M ganglion cells across the primate retina , 1995, Vision Research.

[17]  N. Kanwisher,et al.  Reorganization of Visual Processing in Macular Degeneration , 2005, The Journal of Neuroscience.

[18]  Yasuhiko Jimbo,et al.  The dynamics of a neuronal culture of dissociated cortical neurons of neonatal rats , 2000, Biological Cybernetics.

[19]  D. L. Adams,et al.  A Precise Retinotopic Map of Primate Striate Cortex Generated from the Representation of Angioscotomas , 2003, The Journal of Neuroscience.