Orientation contrast sensitive cells in primate V1 a computational model

Many cells in the primary visual cortex respond differently when a stimulus is placed outside their classical receptive field (CRF) compared to the stimulus within the CRF alone, permitting integration of information at early levels in the visual processing stream that may play a key role in intermediate-level visual tasks, such a perceptual pop-out [Knierim JJ, van Essen DC (1992) J Neurophysiol 67(5):961–980; Nothdurft HC, Gallant JL, Essen DCV (1999) Visual Neurosci 16:15–34], contextual modulation [Levitt JB, Lund JS (1997) Nature 387:73–76; Das A, Gilbert CD (1999) Nature 399:655–661; Dragoi V, Sur M (2000) J Neurophysiol 83:1019–1030], and junction detection [Sillito AM, Grieve KL, Jones HE, Cudiero J, Davis J (1995) Nature 378:492–496; Das A, Gilbert CD (1999) Nature 399:655–661; Jones HE, Wang W, Sillito AM (2002) J Neurophysiol 88:2797–2808]. In this article, we construct a computational model in programming environment TiViPE [Lourens T (2004) TiViPE—Tino’s visual programming environment. In: The 28th Annual International Computer Software & Applications Conference, IEEE COMPSAC 2004, pp 10–15] of orientation contrast type of cells and demonstrate that the model closely resembles the functional behavior of the neuronal responses of non-orientation (within the CRF) sensitive 4Cβ cells [Jones HE, Wang W, Sillito AM (2002) J Neurophysiol 88:2797–2808], and give an explanation of the indirect information flow in V1 that explains the behavior of orientation contrast sensitivity. The computational model of orientation contrast cells demonstrates excitatory responses at edges near junctions that might facilitate junction detection, but the model does not reveal perceptual pop-out.

[1]  E. Callaway Local circuits in primary visual cortex of the macaque monkey. , 1998, Annual review of neuroscience.

[2]  J. B. Levitt,et al.  Contrast dependence of contextual effects in primate visual cortex , 1997, nature.

[3]  D. V. van Essen,et al.  Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. , 1992, Journal of neurophysiology.

[4]  C. Gilbert,et al.  Topography of contextual modulations mediated by short-range interactions in primary visual cortex , 1999, Nature.

[5]  Rolf P. Würtz,et al.  Corner detection in color images through a multiscale combination of end-stopped cortical cells , 2000, Image Vis. Comput..

[6]  D. V. van Essen,et al.  Response modulation by texture surround in primate area V1: Correlates of “popout” under anesthesia , 1999, Visual Neuroscience.

[7]  J. Movshon,et al.  Selectivity and spatial distribution of signals from the receptive field surround in macaque V1 neurons. , 2002, Journal of neurophysiology.

[8]  A. Sillito,et al.  Spatial organization and magnitude of orientation contrast interactions in primate V1. , 2002, Journal of neurophysiology.

[9]  Tino Lourens,et al.  TiViPE - Tino's Visual Programming Environment , 2004, Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004..

[10]  M. Sur,et al.  Dynamic properties of recurrent inhibition in primary visual cortex: contrast and orientation dependence of contextual effects. , 2000, Journal of neurophysiology.

[11]  S. Klein,et al.  Facilitation of contrast detection by cross-oriented surround stimuli and its psychophysical mechanisms. , 2002, Journal of vision.

[12]  R. Born,et al.  Single-unit and 2-deoxyglucose studies of side inhibition in macaque striate cortex. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[13]  A. Sillito,et al.  Always returning: feedback and sensory processing in visual cortex and thalamus , 2006, Trends in Neurosciences.

[14]  H. Jones,et al.  Visual cortical mechanisms detecting focal orientation discontinuities , 1995, Nature.

[15]  A. M. Sillito,et al.  Orientation sensitive elements in the corticofugal influence on centre-surround interactions in the dorsal lateral geniculate nucleus , 1993, Experimental Brain Research.

[16]  D. Burr,et al.  Feature detection in human vision: a phase-dependent energy model , 1988, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[17]  R. Shapley,et al.  Contrast's effect on spatial summation by macaque V1 neurons , 1999, Nature Neuroscience.

[18]  Tiete Lourens,et al.  A biologically plausible model for corner-based object recognition from color images , 1998 .

[19]  Adam M Sillito,et al.  Corticothalamic interactions in the transfer of visual information. , 2002, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[20]  M. Alexander,et al.  Principles of Neural Science , 1981 .

[21]  R. V. Novikova,et al.  Selective and invariant sensitivity to crosses and corners in cat striate neurons , 1998, Neuroscience.