A Model of Figure/Ground Separation Based on Correlated Neural Activity in the Visual System

Humans and animals can recognize objects even in viewing situations where the objects are seen against a patterned background and when several objects are adjoining or intersecting each other. An extreme example illustrating the figure/ground separation power of the human visual system is the well-known picture of a dog by R.C. JAMES (Fig.1 ). When one looks at the picture, it seems as if the regions belonging to the object “dog” were somehow labeled to the extent that even contiguous black or white areas appear to be divided into sections that belong to the object and into others that belong to the background.

[1]  Jürgen Altmann,et al.  A Fast Correlation Method for Scale-and Translation-Invariant Pattern Recognition , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  W Singer,et al.  Simultaneous visual events show a long-range spatial interaction , 1981, Perception & psychophysics.

[3]  Ad Aertsen,et al.  From Synchrony to Harmony: Ideas on the Function of Neural Assemblies and on the Interpretation of Neural Synchrony , 1986 .

[4]  M. Wong-Riley.  Reciprocal connections between striate and prestriate cortex in squirrel monkey as demonstrated by combined peroxidase histochemistry and autoradiography , 1978, Brain Research.

[5]  J. Koenderink,et al.  The distribution of human motion detector properties in the monocular visual field , 1986, Vision Research.

[6]  J. Kaas,et al.  Retinotopic patterns of connections of area 17 with visual areas V‐II and MT in macaque monkeys , 1983, The Journal of comparative neurology.

[7]  John H. R. Maunsell,et al.  The connections of the middle temporal visual area (MT) and their relationship to a cortical hierarchy in the macaque monkey , 1983, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[8]  G L Gerstein,et al.  Mutual temporal relationships among neuronal spike trains. Statistical techniques for display and analysis. , 1972, Biophysical journal.

[9]  R. Eckhorn,et al.  Responses of cat retinal ganglion cells to the random motion of a spot stimulus , 1981, Vision Research.

[10]  Jan J. Koenderink,et al.  Limits in perception , 1984 .

[11]  B. Cragg.  The topography of the afferent projections in the circumstriate visual cortex of the monkey studied by the Nauta method. , 1969, Vision research.

[12]  Leslie G. Ungerleider,et al.  The striate projection zone in the superior temporal sulcus of Macaca mulatta: Location and topographic organization , 1979, The Journal of comparative neurology.

[13]  Wolf Singer,et al.  Temporal integration in the visual system: Influence of temporal dispersion on figure-ground discrimination , 1986, Vision Research.

[14]  D. Casasent,et al.  SCALE INVARIANT OPTICAL CORRELATION USING MELLIN TRANSFORMS , 1976 .

[15]  B. Julesz.  Foundations of Cyclopean Perception , 1971 .

[16]  J. Tigges,et al.  Efferent cortico‐cortical fiber connections of area 18 in the squirrel monkey (Saimiri) , 1974, The Journal of comparative neurology.

[17]  H. J. Reitboeck,et al.  A Multi-Electrode Matrix for Studies of Temporal Signal Correlations Within Neural Assemblies , 1983 .

[18]  H. J. Reitboeck,et al.  A model for size- and rotation-invariant pattern processing in the visual system , 2004, Biological Cybernetics.

[19]  H. Haken.  Pattern Formation by Dynamic Systems and Pattern Recognition , 1979, Springer Series in Synergetics.

[20]  J. Tigges,et al.  Reciprocal point‐to‐point connections between parastriate and striate cortex in the squirrel monkey (Saimiri) , 1973, The Journal of comparative neurology.

[21]  S Zeki,et al.  A direct projection from area V1 to area V3A of rhesus monkey visual cortex , 1980, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[22]  O. Braddick.  A short-range process in apparent motion. , 1974, Vision research.

[23]  S. Zeki.  Representation of central visual fields in prestriate cortex of monkey. , 1969, Brain research.

[24]  C. Baker,et al.  Does segregation of differently moving areas depend on relative or absolute displacement? , 1982, Vision Research.

[25]  K. Rockland,et al.  Laminar origins and terminations of cortical connections of the occipital lobe in the rhesus monkey , 1979, Brain Research.

[26]  R. Eckhorn,et al.  Real-time covariance computer for cell assemblies is based on neuronal principles , 1986, Journal of Neuroscience Methods.

[27]  Arnold J. Mandell,et al.  Synergetics of the Brain , 1983 .

[28]  J. Lund,et al.  Anatomical organization of primate visual cortex area VII , 1981, The Journal of comparative neurology.

[29]  Werner Reichardt,et al.  Figure-ground discrimination by relative movement in the visual system of the fly , 2004, Biological Cybernetics.

[30]  B. Julesz.  Textons, the elements of texture perception, and their interactions , 1981, Nature.

[31]  H. Reitboeck,et al.  Fiber microelectrodes for electrophysiological recordings , 1983, Journal of Neuroscience Methods.

[32]  R. Eckhorn,et al.  Dynamic aspects of cat retinal ganglion cell's centre and surround mechanisms: A white noise analysis , 1981, Vision Research.