Image Sharpness and Contrast Tuning in the Early Visual Pathway

The center-surround organization of the receptive fields (RFs) of retinal ganglion cells highlights the presence of local contrast in visual stimuli. As RF of thalamic relay cells follow the same basic functional organization, it is often assumed that they contribute very little to alter the retinal output. However, in many species, thalamic relay cells largely outnumber their retinal inputs, which diverge to contact simultaneously several units at thalamic level. This gain in cell population as well as retinothalamic convergence opens the door to question how information about contrast is transformed at the thalamic stage. Here, we address this question using a realistic dynamic model of the retinothalamic circuit. Our results show that different components of the thalamic RF might implement filters that are analogous to two types of well-known image processing techniques to preserve the quality of a higher resolution version of the image on its way to the primary visual cortex.

[1]  T. Wiesel,et al.  Recording Inhibition and Excitation in the Cat's Retinal Ganglion Cells with Intracellular Electrodes , 1959, Nature.

[2]  William Bialek,et al.  Seeing Beyond the Nyquist Limit , 1999, Neural Computation.

[3]  R C Reid,et al.  Efficient Coding of Natural Scenes in the Lateral Geniculate Nucleus: Experimental Test of a Computational Theory , 1996, The Journal of Neuroscience.

[4]  B. Boycott,et al.  Morphology and mosaic of on- and off-beta cells in the cat retina and some functional considerations , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[5]  B. Boycott,et al.  Dendritic territories of cat retinal ganglion cells , 1981, Nature.

[6]  Joseph J. Atick,et al.  What Does the Retina Know about Natural Scenes? , 1992, Neural Computation.

[7]  R. Reid,et al.  Rules of Connectivity between Geniculate Cells and Simple Cells in Cat Primary Visual Cortex , 2001, The Journal of Neuroscience.

[8]  S. W. Kuffler Discharge patterns and functional organization of mammalian retina. , 1953, Journal of neurophysiology.

[9]  W. Levick,et al.  Sustained and transient neurones in the cat's retina and lateral geniculate nucleus , 1971, The Journal of physiology.

[10]  D. Ringach On the Origin of the Functional Architecture of the Cortex , 2007, PloS one.

[11]  Matteo Carandini,et al.  Thalamic filtering of retinal spike trains by postsynaptic summation. , 2007, Journal of vision.

[12]  E J Chichilnisky,et al.  Receptive field mosaics of retinal ganglion cells are established without visual experience. , 2010, Journal of neurophysiology.

[13]  C. Enroth-Cugell,et al.  The contrast sensitivity of retinal ganglion cells of the cat , 1966, The Journal of physiology.

[14]  Robert A. Frazor,et al.  Independence of luminance and contrast in natural scenes and in the early visual system , 2005, Nature Neuroscience.

[15]  A. Peters,et al.  Numerical relationships between geniculocortical afferents and pyramidal cell modules in cat primary visual cortex. , 1993, Cerebral cortex.

[16]  D. Hubel,et al.  Integrative action in the cat's lateral geniculate body , 1961, The Journal of physiology.

[17]  Eduardo Sánchez,et al.  Retinal DOG Filters: Effects of the Discretization Process , 2015, IWINAC.

[18]  Ralph Linsker,et al.  Self-organization in a perceptual network , 1988, Computer.

[19]  Chun-I Yeh,et al.  Functional consequences of neuronal divergence within the retinogeniculate pathway. , 2009, Journal of neurophysiology.

[20]  Xin Wang,et al.  Statistical Wiring of Thalamic Receptive Fields Optimizes Spatial Sampling of the Retinal Image , 2014, Neuron.

[21]  Marc-Oliver Gewaltig,et al.  NEST (NEural Simulation Tool) , 2007, Scholarpedia.

[22]  Peter J Diggle,et al.  Homotypic constraints dominate positioning of on- and off-center beta retinal ganglion cells , 2005, Visual Neuroscience.

[23]  Xin Wang,et al.  Recoding of Sensory Information across the Retinothalamic Synapse , 2010, The Journal of Neuroscience.

[24]  T. Sharpee,et al.  Predictable irregularities in retinal receptive fields , 2009, Proceedings of the National Academy of Sciences.

[25]  V. Montero,et al.  A quantitative study of synaptic contacts on interneurons and relay cells of the cat lateral geniculate nucleus , 2004, Experimental Brain Research.

[26]  Eugene M. Izhikevich,et al.  Simple model of spiking neurons , 2003, IEEE Trans. Neural Networks.

[27]  Daniel J. Uhlrich,et al.  Synaptic connectivity of a local circuit neurone in lateral geniculate nucleus of the cat , 1985, Nature.

[28]  Xin Wang,et al.  How inhibitory circuits in the thalamus serve vision. , 2015, Annual review of neuroscience.

[29]  J. H. van Hateren,et al.  A theory of maximizing sensory information , 2004, Biological Cybernetics.

[30]  Jonathon Shlens,et al.  Receptive Fields in Primate Retina Are Coordinated to Sample Visual Space More Uniformly , 2009, PLoS biology.

[31]  Hojjat Adeli,et al.  Spiking Neural Networks , 2009, Int. J. Neural Syst..

[32]  D. Whitteridge,et al.  Innervation of cat visual areas 17 and 18 by physiologically identified X‐ and Y‐ type thalamic afferents. I. Arborization patterns and quantitative distribution of postsynaptic elements , 1985, The Journal of comparative neurology.

[33]  M. Pirchio,et al.  Cl‐ ‐ and K+‐dependent inhibitory postsynaptic potentials evoked by interneurones of the rat lateral geniculate nucleus. , 1988, The Journal of physiology.

[34]  H. Adesnik,et al.  Input normalization by global feedforward inhibition expands cortical dynamic range , 2009, Nature Neuroscience.

[35]  Wade G. Regehr,et al.  Timing and Specificity of Feed-Forward Inhibition within the LGN , 2005, Neuron.

[36]  D N Mastronarde,et al.  Nonlagged relay cells and interneurons in the cat lateral geniculate nucleus: Receptive-field properties and retinal inputs , 1992, Visual Neuroscience.

[37]  S. Sherman,et al.  Relative distribution of synapses in the A‐laminae of the lateral geniculate nucleus of the cat , 2000, The Journal of comparative neurology.

[38]  Reid R. Clay,et al.  Specificity and strength of retinogeniculate connections. , 1999, Journal of neurophysiology.