Bayesian Networks for Modeling Cortical Integration

This chapter contains sections titled: Introduction Problem of Cortical Integration Cortical Circuitry Bayesian Inference in Networks Simulation Results Conclusion Acknowledgments References

[1]  James J. Clark,et al.  Data Fusion for Sensory Information Processing Systems , 1990 .

[2]  D. Hubel,et al.  Ferrier lecture - Functional architecture of macaque monkey visual cortex , 1977, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[3]  D. Kersten,et al.  Illusions, perception and Bayes , 2002, Nature Neuroscience.

[4]  Eero P. Simoncelli,et al.  Image Denoising using Gaussian Scale Mixtures in the Wavelet Domain , 2002 .

[5]  Terrence J. Sejnowski,et al.  Graphical Models: Foundations of Neural Computation , 2001, Pattern Anal. Appl..

[6]  J. Budd.  Extrastriate feedback to primary visual cortex in primates: a quantitative analysis of connectivity , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[7]  K Nakayama,et al.  Binocular visual surface perception. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[8]  L. Finkel,et al.  Intermediate-Level Visual Representations and the Construction of Surface Perception , 1995, Journal of Cognitive Neuroscience.

[9]  S. Kosslyn,et al.  The role of area 17 in visual imagery: convergent evidence from PET and rTMS. , 1999, Science.

[10]  William T. Freeman,et al.  Learning Low-Level Vision , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[11]  Justin K. Romberg,et al.  Bayesian tree-structured image modeling using wavelet-domain hidden Markov models , 2001, IEEE Trans. Image Process..

[12]  William T. Freeman,et al.  Understanding belief propagation and its generalizations , 2003 .

[13]  Denis Fize,et al.  Speed of processing in the human visual system , 1996, Nature.

[14]  E H Adelson,et al.  Beyond Junctions: Nonlocal form Constraints on Motion Interpretation , 2001, Perception.

[15]  Ad Aertsen,et al.  Stable propagation of synchronous spiking in cortical neural networks , 1999, Nature.

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

[17]  K. Grieve,et al.  Effects of feedback projections from area 18 layers 2/3 to area 17 layers 2/3 in the cat visual cortex. , 1999, Journal of neurophysiology.

[18]  J. Bullier,et al.  Functional interactions between areas V1 and V2 in the monkey , 1996, Journal of Physiology-Paris.

[19]  T. Albright,et al.  Image Segmentation Cues in Motion Processing: Implications for Modularity in Vision , 1993, Journal of Cognitive Neuroscience.

[20]  V. Mountcastle.  Modality and topographic properties of single neurons of cat's somatic sensory cortex. , 1957, Journal of neurophysiology.

[21]  David C. Knill,et al.  Introduction: a Bayesian formulation of visual perception , 1996 .

[22]  U. Polat,et al.  Collinear stimuli regulate visual responses depending on cell's contrast threshold , 1998, Nature.

[23]  C. Gilbert.  Horizontal integration and cortical dynamics , 1992, Neuron.

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

[25]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[26]  T. Wiesel,et al.  Clustered intrinsic connections in cat visual cortex , 1983, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[27]  C. Gilbert,et al.  Spatial distribution of contextual interactions in primary visual cortex and in visual perception. , 2000, Journal of neurophysiology.

[28]  David Marr,et al.  VISION A Computational Investigation into the Human Representation and Processing of Visual Information , 2009 .

[29]  R. von der Heydt,et al.  Coding of Border Ownership in Monkey Visual Cortex , 2000, The Journal of Neuroscience.

[30]  Martin J. Wainwright,et al.  Scale Mixtures of Gaussians and the Statistics of Natural Images , 1999, NIPS.

[31]  K Nakayama,et al.  Stereoscopic Depth: Its Relation to Image Segmentation, Grouping, and the Recognition of Occluded Objects , 1989, Perception.

[32]  J. Lund,et al.  Intrinsic laminar lattice connections in primate visual cortex , 1983, The Journal of comparative neurology.

[33]  A. Pouget,et al.  Reading population codes: a neural implementation of ideal observers , 1999, Nature Neuroscience.

[34]  C. Gilbert,et al.  Improvement in visual sensitivity by changes in local context: Parallel studies in human observers and in V1 of alert monkeys , 1995, Neuron.

[35]  M. Paradiso,et al.  A theory for the use of visual orientation information which exploits the columnar structure of striate cortex , 2004, Biological Cybernetics.

[36]  J. Thurston,et al.  Optical Illusions and the Visual Arts , 1966 .

[37]  Yair Weiss,et al.  Correctness of Local Probability Propagation in Graphical Models with Loops , 2000, Neural Computation.

[38]  P A Salin,et al.  Corticocortical connections in the visual system: structure and function. , 1995, Physiological reviews.

[39]  Kwabena Boahen,et al.  Retinomorphic chips that see quadruple images , 1999, Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems.

[40]  Eero P. Simoncelli,et al.  Computational models of cortical visual processing. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[41]  M. White,et al.  A New Effect of Pattern on Perceived Lightness , 1979, Perception.

[42]  T. Wiesel,et al.  Functional architecture of macaque monkey visual cortex , 1977 .

[43]  Timothy J. Andrews,et al.  Activity in the Fusiform Gyrus Predicts Conscious Perception of Rubin's Vase–Face Illusion , 2002, NeuroImage.

[44]  I. Biederman,et al.  Accurate identification but no priming and chance recognition memory for pictures in RSVP sequences , 2000 .

[45]  Alexandre Pouget,et al.  Probabilistic Interpretation of Population Codes , 1996, Neural Computation.

[46]  Lucas C. Parra,et al.  Hierarchical image probability (HIP) models , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[47]  Daniel Kersten.  Illusions, perception and , 2002 .

[48]  Kwabena Boahen,et al.  Point-to-point connectivity between neuromorphic chips using address events , 2000 .

[49]  U. Polat,et al.  Neurophysiological Evidence for Contrast Dependent Long-range Facilitation and Suppression in the Human Visual Cortex , 1996, Vision Research.