Building a mechanistic model of the development and function of the primary visual cortex

Journal of Physiology Paris

Volumn 106, Issue 5-6, 2012, Pages 194-211

  Bednar, James A ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Computational model; Cortical column; Cortical microcircuit; Development; Orientation map; Topographic map; Visual system

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; BRAIN DEVELOPMENT; BRAIN FUNCTION; CELL FUNCTION; COMPUTER PROGRAM; DEVELOPMENTAL BIOLOGY; HYPOTHESIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NEUROANATOMY; NEUROMODULATION; SENSORY NERVE CELL; STRIATE CORTEX; VISION; VISUAL NERVOUS SYSTEM; VISUAL SYSTEM FUNCTION;

ANIMALS; CATS; COMPUTER SIMULATION; MACACA; MODELS, ANIMAL; MODELS, NEUROLOGICAL; NEURAL PATHWAYS; NEURONAL PLASTICITY; PHOTORECEPTOR CELLS, VERTEBRATE; SENSORY RECEPTOR CELLS; TUPAIIDAE; VISUAL CORTEX;

EID: 84868304037     PISSN: 09284257     EISSN: 17697115     Source Type: Journal    
DOI: 10.1016/j.jphysparis.2011.12.001     Document Type: Article

References (90)

1. Adelson E.H., Bergen J.R. Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A 1985, 2:284-299.
2. Albrecht D.G., Geisler W.S. Motion selectivity and the contrast-response function of simple cells in the visual cortex. Visual Neuroscience 1991, 7:531-546.
3. Alitto H.J., Usrey W.M. Origin and dynamics of extraclassical suppression in the lateral geniculate nucleus of the macaque monkey. Neuron 2008, 57(1):135-146.
4. Antolik, J., 2010. Unified developmental model of maps, complex cells and surround modulation in the primary visual cortex. Ph.D. thesis, School of Informatics, The University of Edinburgh, Edinburgh, UK. http://hdl.handle.net/1842/4875.
5. Antolik J., Bednar J.A. Development of maps of simple and complex cells in the primary visual cortex. Frontiers in Computational Neuroscience 2011, 5:17.
6. Aronov D., Reich D.S., Mechler F., Victor J.D. Neural coding of spatial phase in V1 of the macaque monkey. Journal of Neurophysiology 2003, 89(6):3304-3327.
7. Ball, C.E., Bednar, J.A., 2009. A self-organizing model of color, ocular dominance, and orientation selectivity in the primary visual cortex. In: Society for Neuroscience Abstracts, Society for Neuroscience. (Program No. 756.9). http://www.sfn.org.
8. Barlow H.B., Földiák P. Adaptation and decorrelation in the cortex. The Computing Neuron 1989, 54-72. Addison-Wesley, Reading, MA. R. Durbin, C. Miall, G. Mitchison (Eds.).
9. Basole A., White L.E., Fitzpatrick D. Mapping multiple features in the population response of visual cortex. Nature 2003, 424(6943):986-990.
10. Bednar J.A., Miikkulainen R. Tilt aftereffects in a self-organizing model of the primary visual cortex. Neural Computation 2000, 12(7):1721-1740.
11. Bednar J.A., Miikkulainen R. Self-organization of spatiotemporal receptive fields and laterally connected direction and orientation maps. Neurocomputing 2003, 52-54:473-480.
12. Bednar, J.A., Miikkulainen, R., 2004. Prenatal and postnatal development of laterally connected orientation maps. In: Computational Neuroscience: Trends in Research, 2004, pp. 985-992. http://nn.cs.utexas.edu/keyword?bednar:neurocomputing04-or.
13. Bednar J.A., Miikkulainen R. Prenatal and postnatal development of laterally connected orientation maps. Neurocomputing 2004, 58-60:985-992.
14. Bednar J.A., Miikkulainen R. Joint maps for orientation, eye, and direction preference in a self-organizing model of V1. Neurocomputing 2006, 69(10-12):1272-1276.
15. Bednar J.A., Kelkar A., Miikkulainen R. Scaling self-organizing maps to model large cortical networks. Neuroinformatics 2004, 2:275-302.
16. Bell A.J., Sejnowski T.J. The " independent components" of natural scenes are edge filters. Vision Research 1997, 37:3327-3338.
17. Bienenstock E.L., Cooper L.N., Munro P.W. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. The Journal of Neuroscience 1982, 2:32-48.
18. Binzegger T., Douglas R.J., Martin K.A.C. Topology and dynamics of the canonical circuit of cat V1. Neural Networks 2009, 22(8):1071-1078.
19. Blasdel G.G. Orientation selectivity, preference, and continuity in monkey striate cortex. The Journal of Neuroscience 1992, 12:3139-3161.
20. Bonin V., Mante V., Carandini M. The suppressive field of neurons in lateral geniculate nucleus. Journal of Neuroscience 2005, 25:10844-10856.
21. Bosking W.H., Zhang Y., Schofield B.R., Fitzpatrick D. Orientation selectivity and the arrangement of horizontal connections in tree shrew striate cortex. The Journal of Neuroscience 1997, 17(6):2112-2127.
22. Bosking W.H., Crowley J.C., Fitzpatrick D. Spatial coding of position and orientation in primary visual cortex. Nature Neuroscience 2002, 5(9):874-882.
23. Chance F.S., Nelson S.B., Abbott L.F. Complex cells as cortically amplified simple cells. Nature Neuroscience 1999, 2(3):277-282.
24. Ciroux, J., 2005. Simulating the McCollough effect in a self-organizing model of the primary visual cortex, Master's thesis, The University of Edinburgh, Scotland, UK. http://www.inf.ed.ac.uk/publications/thesis/online/IM050308.pdf.
25. Coppola D.M., White L.E., Fitzpatrick D., Purves D. Unequal representation of cardinal and oblique contours in ferret visual cortex. Proceedings of the National Academy of Sciences of United States of America 1998, 95(5):2621-2623.
26. Dacey D.M. Parallel pathways for spectral coding in primate retina. Annual Review of Neuroscience 2000, 23:743-775.
27. De Paula, J.B. 2007. Modeling the self-organization of color selectivity in the visual cortex, Ph.D. thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX. http://nn.cs.utexas.edu/keyword?depaula:phd07.
28. Dong D.W. Associative decorrelation dynamics: a theory of self-organization and optimization in feedback networks. Advances in Neural Information Processing Systems 1995, vol. 7:925-932. MIT Press, Cambridge, MA,
29. Ellis S.R. Orientation selectivity of the McCollough effect: analysis by equivalent contrast transformation. Perception and Psychophysics 1977, 22(6):539-544.
30. Erwin E., Obermayer K., Schulten K.J. Models of orientation and ocular dominance columns in the visual cortex: a critical comparison. Neural Computation 1995, 7(3):425-468.
31. Farley B.J., Yu H., Jin D.Z., Sur M. Alteration of visual input results in a coordinated reorganization of multiple visual cortex maps. The Journal of Neuroscience 2007, 27(38):10299-10310.
32. Felisberti F., Derrington A.M. Long-range interactions modulate the contrast gain in the lateral geniculate nucleus of cats. Visual Neuroscience 1999, 16:943-956.
33. Field G.D., Gauthier J.L., Sher A., Greschner M., Machado T.A., Jepson L.H., Shlens J., Gunning D.E., Mathieson K., Dabrowski W., Paninski L., Litke A.M., Chichilnisky E.J. Functional connectivity in the retina at the resolution of photoreceptors. Nature 2010, 467(7316):673-677.
34. Gilbert C.D., Wiesel T.N. Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex. The Journal of Neuroscience 1989, 9:2432-2442.
35. Goodhill G.J. Contributions of theoretical modeling to the understanding of neural map development. Neuron 2007, 56(2):301-311.
36. Grabska-Barwinska A., von der Malsburg C. Establishment of a scaffold for orientation maps in primary visual cortex of higher mammals. The Journal of Neuroscience 2008, 28(1):249-257.
37. Hubel D.H., Wiesel T.N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. The Journal of Physiology 1962, 160:106-154.
38. Hyvärinen A., Hoyer P.O. A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images. Vision Research 2001, 41(18):2413-2423.
39. Jegelka S., Bednar J.A., Miikkulainen R. Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1. Neurocomputing 2006, 69:1291-1296.
40. Jin J., Wang Y., Swadlow H.A., Alonso J.M. Population receptive fields of ON and OFF thalamic inputs to an orientation column in visual cortex. Nature Neuroscience 2011, 14(2):232-238.
41. Jones H.E., Wang W., Sillito A.M. Spatial organization and magnitude of orientation contrast interactions in primate V1. Journal of Neurophysiology 2002, 88(5):2796-2808.
42. Kara P., Boyd J.D. A micro-architecture for binocular disparity and ocular dominance in visual cortex. Nature 2009, 458(7238):627-631.
43. Klug K., Herr S., Ngo I.T., Sterling P., Schein S. Macaque retina contains an S-cone OFF midget pathway. Journal of Neuroscience 2003, 23:9881-9887.
44. Koulakov A.A., Chklovskii D.B. Orientation preference patterns in mammalian visual cortex: a wire length minimization approach. Neuron 2001, 29:519-527. U.
45. Law, J.S., 2009. Modeling the development of organization for orientation preference in primary visual cortex. Ph.D. thesis, School of Informatics, The University of Edinburgh, Edinburgh, UK. http://hdl.handle.net/1842/3935.
46. Law, J.S., Antolik, J., Bednar, J.A., 2011. Mechanisms for stable and robust development of orientation maps and receptive fields. Tech. rep., School of Informatics, The University of Edinburgh, EDI-INF-RR-1404. http://www.inf.ed.ac.uk/publications/report/1404.html.
47. Liu Z., Gaska J.P., Jacobson L.D., Pollen D.A. Interneuronal interaction between members of quadrature phase and anti-phase pairs in the cat's visual cortex. Vision Research 1992, 32(7):1193-1198.
48. McCollough C. Color adaptation of edge-detectors in the human visual system. Science 1965, 149(3688):1115-1116.
49. Miikkulainen R., Bednar J.A., Choe Y., Sirosh J. Computational Maps in the Visual Cortex 2005, Springer, Berlin,
50. Miller K.D. A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputs. The Journal of Neuroscience 1994, 14:409-441.
51. Miller K.D., MacKay D.J.C. The role of constraints in Hebbian learning. Neural Computation 1994, 6:100-126.
52. Mitchell D.E., Muir D.W. Does the tilt aftereffect occur in the oblique meridian?. Vision Research 1976, 16:609-613.
53. Nauhaus I., Benucci A., Carandini M., Ringach D.L. Neuronal selectivity and local map structure in visual cortex. Neuron 2008, 57(5):673-679.
54. Obermayer K., Ritter H., Schulten K.J. A principle for the formation of the spatial structure of cortical feature maps. Proceedings of the National Academy of Sciences of United States of America 1990, 87:8345-8349.
55. Olmos, A., Kingdom, F.A.A., 2004. McGill calibrated colour image database. http://tabby.vision.mcgill.ca.
56. Olshausen B.A., Field D.J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 1996, 381:607-609.
57. Paik S.-B., Ringach D.L. Retinal origin of orientation maps in visual cortex. Nature Neuroscience 2011, 14(7):919-925.
58. Palmer, C.M., 2009. Topographic and laminar models for the development and organisation of spatial frequency and orientation in V1, Ph.D. thesis, School of Informatics, The University of Edinburgh, Edinburgh, UK. http://hdl.handle.net/1842/4114.
59. Purushothaman G., Khaytin I., Casagrande V.A. Quantification of optical images of cortical responses for inferring functional maps. Journal of Neurophysiology 2009, 101(5):2708-2724.
60. Pylyshyn Z.W. Situating vision in the world. Trends in Cognitive Sciences 2000, 4(5):197-207.
61. Ramtohul, T. 2006. A self-organizing model of disparity maps in the primary visual cortex. Master's thesis, The University of Edinburgh, Scotland, UK. http://www.inf.ed.ac.uk/publications/thesis/online/IM060400.pdf.
62. Rehn M., Sommer F.T. A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. Journal of Computational Neuroscience 2007, 22(2):135-146.
63. Ringach D.L. On the origin of the functional architecture of the cortex. PLoS One 2007, 2(2):e251.
64. Ringach D.L., Shapley R.M., Hawken M.J. Orientation selectivity in macaque V1: diversity and laminar dependence. The Journal of Neuroscience 2002, 22(13):5639-5651.
65. Roerig B., Kao J.P. Organization of intracortical circuits in relation to direction preference maps in ferret visual cortex. The Journal of Neuroscience 1999, 19(24):RC44.
66. Saul A.B., Humphrey A.L. Evidence of input from lagged cells in the lateral geniculate nucleus to simple cells in cortical area 17 of the cat. Journal of Neurophysiology 1992, 68(4):1190-1208.
67. Sceniak M.P., Ringach D.L., Hawken M.J., Shapley R. Contrast's effect on spatial summation by macaque V1 neurons. Nature Neuroscience 1999, 2:733-739.
68. Sclar G., Freeman R.D. Orientation selectivity in the cat's striate cortex is invariant with stimulus contrast. Experimental Brain Research 1982, 46:457-461.
69. Sengpiel F., Sen A., Blakemore C. Characteristics of surround inhibition in cat area 17. Experimental Brain Research 1997, 116(2):216-228.
70. Sillito A.M., Cudeiro J., Jones H.E. Always returning: feedback and sensory processing in visual cortex and thalamus. Trends in Neuroscience 2006, 29(6):307-316.
71. Sincich L.C., Blasdel G.G. Oriented axon projections in primary visual cortex of the monkey. The Journal of Neuroscience 2001, 21:4416-4426.
72. Stevens, J.-L., 2011. A temporal model of neural activity and VSD response in the primary visual cortex. Master's thesis, The University of Edinburgh, Scotland, UK. http://www.inf.ed.ac.uk/publications/thesis/online/IT111096.pdf.
73. Stockman A., Sharpe L.T. The spectral sensitivities of the middle- and long-wavelength-sensitive cones derived from measurements in observers of known genotype. Vision Research 2000, 40:1711-1737.
74. Stockman A., Sharpe L.T., Fach C. The spectral sensitivity of the human short-wavelength sensitive cones derived from thresholds and color matches. Vision Research 1999, 39:2901-2927.
75. Swindale N.V. The development of topography in the visual cortex: a review of models. Network: Computation in Neural Systems 1996, 7:161-247.
76. Thiele A., Pooresmaeili A., Delicato L.S., Herrero J.L., Roelfsema P.R. Additive effects of attention and stimulus contrast in primary visual cortex. Cerebral Cortex 2009, 19(12):2970-2981.
77. Thompson P., Burr D. Visual aftereffects. Current Biology 2009, 19(1):R11-14.
78. Turrigiano G.G. Homeostatic plasticity in neuronal networks: the more things change, the more they stay the same. Trends in Neurosciences 1999, 22(5):221-227.
79. Vidyasagar T.R., Kulikowski J.J., Lipnicki D.M., Dreher B. Convergence of parvocellular and magnocellular information channels in the primary visual cortex of the macaque. European Journal of Neuroscience 2002, 16(5):945-956.
80. Wang C., Bardy C., Huang J.Y., FitzGibbon T., Dreher B. Contrast dependence of center and surround integration in primary visual cortex of the cat. Journal of Vision 2009, 9(1):20.1-1.
81. Weber, C., maps, 2001. Self-organization of orientation maps, lateral connections, and dynamic receptive fields in the primary visual cortex. In: Proceedings of the International Conference on Artificial Neural Networks. Lecture Notes in Computer Science, vol. 2130. Springer, Berlin, pp. 1147-1152, http://www.bcs.rochester.edu/cweber/publications/ICANN01.ps.
82. Weliky M., Bosking W.H., Fitzpatrick D. A systematic map of direction preference in primary visual cortex. Nature 1996, 379:725-728.
83. Weng J., McClelland J.L., Pentland A., Sporns O., Stockman I., Sur M., Thelen E. Autonomous mental development by robots and animals. Science 2001, 291(5504):599-600.
84. Wilson S.P., Law J.S., Mitchinson B., Prescott T.J., Bednar J.A. Modeling the emergence of whisker direction maps in rat barrel cortex. PLoS One 2010, 5(1):e8778.
85. Wolf F., Geisel T. Universality in visual cortical pattern formation. Journal of Physiology - Paris 2003, 97(2-3):253-264.
86. Wolfe J., Palmer L.A. Temporal diversity in the lateral geniculate nucleus of cat. Visual Neuroscience 1998, 15(4):653-675.
87. Wong R.O.L. Retinal waves and visual system development. Annual Review of Neuroscience 1999, 22:29-47.
88. Xiao Y., Casti A., Xiao J., Kaplan E. Hue maps in primate striate cortex. Neuroimage 2007, 35(2):771-786.
89. Xu X., Anderson T.J., Casagrande V.A. How do functional maps in primary visual cortex vary with eccentricity?. Journal of Comparative Neurology 2007, 501(5):741-755.
90. Yu H., Farley B.J., Jin D.Z., Sur M. The coordinated mapping of visual space and response features in visual cortex. Neuron 2005, 47(2):267-280.