Models of receptive-field dynamics in visual cortex

Visual Neuroscience

Volumn 16, Issue 6, 1999, Pages 1055-1081

  Kalarickal, George J ^a,b   Marshall, Jonathan A ^a  

^a Brooks Computer Science Building   (United States)

^b Technology Integration Incorporated   (United States)

Author keywords

Artificial scotoma; Cortical plasticity; EXIN (excitatory + inhibitory) learning; Neural adaptation; Retinal lesions; Self organization

Indexed keywords

ADAPTATION; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; HUMAN; LEARNING; NERVE CELL PLASTICITY; PATHOPHYSIOLOGY; PHYSIOLOGY; RETINA DISEASE; SCOTOMA; SENSORY NERVE CELL; VISUAL CORTEX;

ADAPTATION, PHYSIOLOGICAL; ANIMALS; COMPUTER SIMULATION; HUMANS; LEARNING; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONAL PLASTICITY; NEURONS, AFFERENT; RETINAL DISEASES; SCOTOMA; VISUAL CORTEX;

EID: 0033226674     PISSN: 09525238     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0952523899166070     Document Type: Article

References (83)

1. BEDNAR, J.A. & MIIKKULAINEN, R. (1997). A neural network model of visual tilt aftereffect. In Proceedings of the 19th Annual Conference of the Cognitive Science Society, pp. 37-42. Hillsdale, New Jersey: Erlbaum.
2. BEDNAR, J.A. & MIIKKULAINEN, R. (1998). Pattern-generator-driven development in self-organizing models. In Computational Neuroscience: Trends in Research, 1998, ed. BOWER, J.M., pp. 317-323. New York: Plenum Press.
3. BLAKEMORE, C. & TOBIN, E.A. (1972). Lateral inhibition between orientation detectors in the cat's visual cortex. Experimental Brain Research 15, 439-440.
4. BURGI, P-Y. & GRZYWACZ, N.M. (1997). Possible roles of spontaneous waves and dendritic growth for retinal receptive field development. Neural Computation 9, 533-553.
5. CHAPMAN, B. & STONE, L.S. (1996). Turning a blind eye to cortical receptive fields. Neuron 16, 9-12.
6. CHINO, Y.M., KAAS, J.H., SMITH, III, E.L., LANGSTON, A.L. & CHENG, H. (1992). Rapid reorganization of cortical maps in adult cats following restricted deafferentation in retina. Vision Research 32(5), 789-796.
7. COHEN, M. A. & GROSSBERG, S. (1983). Absolute stability of global pattern formation and parallel memory storage by competitive neural networks. IEEE Transactions on Systems, Man, and Cybernetics 13(5), 815-826.
8. CRIST, R.E., KAPADIA, M.K., WESTHEIMER, G. & GILBERT, C.D. (1997). Perceptual learning of spatial localization: Specificity for orientation, position, and context. Journal of Neurophysiology 78(6), 2889-2894.
9. DALVA, M.B. & KATZ, L.C. (1994). Rearrangements of synaptic connections in visual cortex revealed by laser photostimulation Science 265, 255-258.
10. DARIAN-SMITH, C. & GILBERT, C.D. (1994). Axonal sprouting accompanies functional reorganization in adult cat striate cortex. Nature 368, 737-740.
11. DARIAN-SMITH, C. & GILBERT, C.D. (1995). Topographic reorganization in the striate cortex of the adult cat and monkey is cortically mediated. Journal of Neuroscience 15(3), 1631-1647.
12. DAS, A. (1997). Plasticity in adult sensory cortex: A review. Network: Computation in Neural Systems 8, R33-R76.
13. DAS, A. & GILBERT, C.D. (1995a). Long-range horizontal connections and their role in cortical reorganization revealed by optical recording of cat primary visual cortex. Nature 375, 780-784.
14. DAS, A. & GILBERT, C.D. (1995b). Receptive field expansion in adult visual cortex is linked to dynamic changes in strength of cortical connections. Journal of Neurophysiology 74(2), 779-792.
15. DEANGELIS, G.C., ANZAI, A., OHZAWA, I. & FREEMAN, R.D. (1992). Organization of suppression in receptive fields of neurons in cat visual cortex. Journal of Neurophysiology 68(1), 144-163.
16. DEANGELIS, G.C., ANZAI, A., OHZAWA, I. & FREEMAN, R.D. (1995). Receptive field structure in the visual cortex: Does selective stimulation induce plasticity? Proceedings of the National Academy of Sciences of the U.S.A. 92, 9682-9686.
17. DOUGLAS, R.J. & MARTIN, K.A.C. (1991). A functional microcircuit for cat visual cortex. Journal of Physiology 440, 735-769.
18. ERWIN, E., OBERMAYER, K. & SCHULTEN, K. (1995). Models of orientation and ocular dominance columns in the visual cortex: A critical comparison. Neural Computation 7, 425-468.
19. FAHLE, M. (1997). Specificity of learning curvature, orientation, and vernier discriminations. Vision Research 37(14), 1885-1895.
20. FAHLE, M. & EDELMAN, S. (1993). Long-term learning in vernier acuity: Effects of stimulus orientation, range and of feedback. Vision Research 33, 397-412.
21. FERSTER, D.L. (1989). The synaptic inputs to simple cells of the cat visual cortex. In Proceedings of the Retina Research Foundation, Vol. 2: Neural Mechanisms of Visual Perception, ed. LAM, D.M. & GILBERT, C.D., pp. 63-85. Woodlands, Texas: Portfolio.
22. FIORENTINI, A. & BERARDI, N. (1980). Perceptual learning is specific for orientation and spatial frequency. Nature 287, 43-44.
23. GIL, Z. & AMITAI, Y. (1996). Spatial integration and cortical dynamics. Journal of Neuroscience 16(20), 6567-6578.
24. GILBERT, C.D. (1996). Plasticity in visual perception and physiology. Current Opinion in Neurobiology 6(2), 269-274.
25. GILBERT, C.D. (1998). Adult cortical dynamics. Physiological Review 78(2), 467-485.
26. GILBERT, C.D., DAS, A., ITO, M., KAPADIA, M. & WESTHEIMER, G. (1996). Spatial integration and cortical dynamics. Proceedings of the National Academy of Sciences of the U.S.A. 93, 615-622.
27. GILBERT, C.D. & WIESEL, T.N. (1983). Clustered intrinsic connections in cat visual cortex. Journal of Neuroscience 3(5), 1116-1133.
28. GILBERT, C.D. & WIESEL, T.N. (1989). Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex. Journal of Neuroscience 9(7), 2432-2442.
29. GILBERT, C.D. & WIESEL, T.N. (1990). The influence of contextual stimuli on the orientation selectivity of cells in primary visual cortex of the cat. Vision Research 30, 11, 1689-1701.
30. GROSSBERG, S. (1972). Neural expectation: Cerebellar and retinal analogs of cells fired by learnable or unlearned pattern classes. Kybernetik 10, 49-57.
31. GROSSBERG, S. (1976a). On the development of feature detectors in the visual cortex with applications to learning and reaction-diffusion systems. Biological Cybernetics 21, 145-159.
32. GROSSBERG, S. (1976b). Adaptive pattern classification and universal coding: I. Parallel development and coding of neural feature detectors. Biological Cybernetics 23, 121-134.
33. GROSSBERG, S. (1976c). Adaptive pattern classification and universal coding: II. Feedback, expectation, olfaction, and illusions. Biological Cybernetics 23, 187-202.
34. GROSSBERG, S. & OLSON, S.J. (1994). Rules for the cortical map of ocular dominance and orientation columns. Neural Networks 7, 883-894.
35. HAMMOND, P., MOUAT, G.S. & SMITH, A.T. (1986). Motion after-effects in cat striate cortex elicited by moving textures. Vision Research 26(7), 1055-1060.
36. HAMMOND, P., POMFRETT, C.J.D. & AHMED, B. (1989). Neural motion after-effects in the cat's striate cortex: Orientation selectivity. Vision Research 29(12), 1671-1683.
37. HIRSCH, J.A. & GILBERT, C.D. (1993). Long-term changes in synaptic strength along specific intrinsic pathways in the cat visual cortex. Journal of Physiology 461, 247-262.
38. HODGKIN, A.L. (1964). The Conduction of the Nervous Impulse. Liverpool, England: Liverpool University Press.
39. HUBBARD, R.S. & MARSHALL, J.A. (1994). Self-organizing neural network model of the visual inertia phenomenon in motion perception. Technical Report 94-001, University of North Carolina at Chapel Hill, Department of Computer Science.
40. HUBEL, D.H. & WIESEL, T.N. (1970). The period of susceptibility to the physiological effects of unilateral eye closure in kittens. Journal of Physiology 206, 419-436.
41. HUMPHREY, A.L., SUR, M., ULRICH, D.J. & SHERMAN, S.M. (1985). Receptive fields, binocular interaction, and functional architecture in the cat's visual cortex. Journal of Comparative Neurology 233, 159-189.
42. KALARICKAL, G.J. (1998). Theory of cortical plasticity in vision. Ph.D. Dissertation, University of North Carolina at Chapel Hill, Department of Computer Science.
43. KAPADIA, M.K., GILBERT, C.D. & WESTHEIMER, G. (1994). A quantitative measure for short-term cortical plasticity in human vision. Journal of Neuroscience 14(1), 451-457.
44. KARNI, A. & SAGI, D. (1991). Where practice makes perfect in texture discrimination: Evidence for primary visual cortex plasticity. Proceedings of the National Academy of Sciences of the U.S.A. 88, 4966-4970.
45. KATZ, L.C. & CALLAWAY, E.M. (1992). Development of local circuits in mammalian visual cortex. Annual Review of Neuroscience 15, 31-56.
46. KILGARD, M.P. & MERZENICH, M.M. (1998a). Cortical map reorganization enabled by nucleus basalis activity. Science 279, 1714-1718.
47. KILGARD, M.P. & MERZENICH, M.M. (1998b). Plasticity of temporal information processing in the primary auditory cortex. Nature Neuroscience 1(8), 727-731.
48. KIRKWOOD, A., DUDEK, S.M., GOLD, J.T., AIZENMAN, C.D. & BEAR, M.F. (1993). Common forms of synaptic plasticity in the hippocampus and neocortex in vitro. Science 260, 1518-1521.
49. LINSKER, R. (1986). From basic network principles to neural architecture: Emergence of orientation-selective cells. Proceedings of the National Academy of Sciences of the U.S.A. 83, 8390-8394.
50. MARSHALL, J.A. (1989). Self-organizing neural network architectures for computing visual depth from motion parallax. In Proceedings of the International Joint Conference on Neural Networks, II, pp. 227-234. Washington DC.
51. MARSHALL, J.A. (1990a). Self-organizing neural networks for perception of visual motion. Neural Networks 3, 45-74.
52. MARSHALL, J.A. (1990b). Development of length-selectivity in hypercomplex-type cells. Investigative Ophthalmology and Visual Science 31(4), 397.
53. MARSHALL, J.A. (1990c). A self-organizing neural network for computing stereo disparity and transparency. Technical Digest, Optical Society of America Annual Meeting 268.
54. MARSHALL, J.A. (1990d). Adaptive neural methods for multiplexing oriented edges. In Intelligent Robots and Computer Vision IX: Neural, Biological, and 3-D Methods, ed. CASASENT, D.P., Proceedings of the SPIE, 1382, pp. 282-291. Boston, Massachusetts.
55. MARSHALL, J.A. (1995). Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale. Neural Networks 8, 335-362.
56. MARSHALL, J.A., ALLEY, R.K. & HUBBARD, R.S. (1996a). Learning to predict visibility and invisibility from occlusion events. In Advances in Neural Information Processing Systems, Vol. 8, ed. TOURETZKY, D.S., MOZER, M.C. & HASSELMO, M.E., pp. 816-822. Cambridge, Massachusetts: MIT Press.
57. MARSHALL, J.A., KALARICKAL, G.J. & GRAVES, E.B. (1996b). Neural model of visual stereomatching: Slant, transparency, and clouds. Network: Computation in Neural Systems 1, 635-669.
58. MARSHALL, J.A. & GUPTA, V.S. (1998). Generalization and exclusive allocation of credit in unsupervised category learning. Network: Computation in Neural Systems 9, 279-302.
59. MARSHALL, J.A. & KALARICKAL, G.J. (1997). Modeling dynamic receptive field changes in primary visual cortex using inhibitory learning. In Computational Neuroscience: Trends in Research, 1997, ed. BOWER, J.M., pp. 395-401. New York: Plenum Press.
60. MARTIN, K.E. & MARSHALL, J.A. (1993). Unsmearing visual motion: Development of long-range horizontal intrinsic connections. In Advances in Neural Information Processing Systems Networks 5, ed. HANSON, S.J., COWAN, J.D. & GILES, C.L., pp. 417-424. San Mateo, California: Morgan Kaufmann Publishers.
61. MCGUIRE, B.A., GILBERT, C.D., RIVLIN, P.K. & WIESEL, T.N. (1991). Targets of horizontal connections in macaque primary visual cortex. Journal of Comparative Neurology 305, 370-392.
62. PETERSEN, R. & TAYLOR, J. (1997). Short-term cortical reorganisation in a lateral inhibitory neural network. In Computational Neuroscience: Trends in Research, 1997, ed. BOWER, J.M., pp. 449-453. New York: Plenum Press.
63. PETTET, M.W. & GILBERT, C.D. (1992). Dynamic changes in receptive-field size in cat primary visual cortex. Proceedings of the National Academy of Sciences of the U.S.A. 89(7), 8366-8370.
64. POLAT, U., MIZOBE, K., PETTET, M.W., KASAMATSU, T. & NORCIA, A.M. (1998). Collinear stimuli regulate visual responses depending on a cell's contrast threshold. Nature 391, 580-584.
65. RECANZONE, G.H., MERZENICH, M.M. & DINSE, H.R. (1992a). Expansion of the cortical representation of a specific skin field in primary somatosensory cortex by intracortical microstimulation. Cerebral Cortex 2, 181-196.
66. RECANZONE, G.H., MERZENICH, M.M., JENKINS, W.M., GRAJSKI, K.A. & DINSE, H.R. (1992b). Topographic reorganization of the hand representation in cortical area 3b of owl monkeys trained in a frequency-discrimination task. Journal of Neurophysiology 67(5), 1031-1056.
67. SCHMITT, C.P. & MARSHALL, J.A. (1995). Development of a neural circuit for motion grouping and disambiguation. Investigative Ophthalmology and Visual Science 36(4), 377.
68. SCHMITT, C.P. & MARSHALL, J.A. (1996). Effects of coherence and context on visual motion grouping: A self-organizing neural model. Investigative Ophthalmology and Visual Science 37(4), 483.
69. SIROSH, J. (1995). A self-organizing neural network model of the primary visual cortex. Ph.D. Dissertation, University of Texas at Austin, Department of Computer Science.
70. SIROSH, J. & MIIKKULAINEN, R. (1994). Cooperative self-organization of afferent and lateral connections in cortical maps. Biological Cybernetics 71, 66-78.
71. SIROSH, J, MIIKKULAINEN, R. & BEDNAR, J.A. (1996). Self-organization of orientation maps, lateral connections, and dynamic receptive fields in the primary visual cortex. In Lateral Interactions in the Cortex: Structure and Function, ed. SIROSH, J., MIIKKULAINEN, R. & CHOE, Y., UTCS Neural Networks Research Group, Austin, TX, 1996. Electronic book, ISBN 0-9647060-0-8, http://www.cs.utexas.edu/users/nn/web-pubs/htmlbook96.
72. SIROSH, J. & MIIKKULAINEN, R. (1997). Topographic receptive fields and patterned lateral interaction in a self-organizing model of the primary visual cortex. Neural Computation 9, 577-594.
73. SOMERS, D.C., TODOROV, E.V., SIAPAS, A.G., TOTH, L.J., KIM, D.-S & SUR, M. (1998). A local circuit approach to understanding integration of long-range inputs in primary visual cortex. Cerebral Cortex 8, 204-217.
74. SOMOGYI, P. (1989). Synaptic organization of GABAergic neurons and GABAA receptors in the lateral geniculate nucleus and visual cortex. In Proceedings of the Retina Research Foundation, Vol. 2: Neural Mechanisms of Visual Perception, ed. LAM, D.M. & GILBERT, C.D., pp. 35-62. Woodlands, Texas: Portfolio.
75. SOMOGYI, P., KISVÁRDAY, Z.F., MARTIN, K.A.C. & WHITTERIDGE, D. (1983). Synaptic connections of morphologically identified and physiologically characterized large basket cells in the striate cortex of cat. Neuroscience 10, 261-294.
76. SOMOGYI, P. & MARTIN, K.A.C. (1985). Cortical circuitry underlying inhibitory processes in cat area 17. In Models of the Visual Cortex, ed. ROSE, D. & DOBSON, V.G., pp. 514-523. New York: John Wiley & Sons.
77. TAL, D. & SCHWARTZ, E. (1997). Topological singularities in cortical orientation maps: The sign theorem correctly predicts orientation column patterns in primate striate cortex. Network: Computation in Neural Systems 8, 229-238.
78. TODOROV, E.V., SIAPAS, A.G., SOMERS, D.C. & NELSON, S.B. (1997). Modeling visual cortical contrast adaptation effects. In Computational Neuroscience: Trends in Research, 1997, ed. BOWER, J.M., pp. 525-531. New York: Plenum Press.
79. WANG, X., MERZENICH, MM., SAMESHIMA, K. & JENKINS, W.M. (1995). Remodelling of hand representation in adult cortex determined by timing of tactile stimulation. Nature 378, 71-75.
80. WELIKY, M., KANDLER, K., FITZPATRICK, D. & KATZ, L.C. (1995). Patterns of excitation and inhibition evoked by horizontal connections in visual cortex share a common relationship to orientation columns. Neuron 15, 541-552.
81. WONG, R.O.L., MEISTER, M. & SHATZ, C.J. (1993). Transient period of correlated bursting activity during development of the mammalian retina. Neuron 11, 923-938.
82. XERRI, C., MERZENICH, M.M., PETERSON, B.E. & JENKINS, W. (1998). Plasticity of primary cortex paralleling sensorimotor skill recovery from stroke in adult monkeys. Journal of Neurophysiology 79, 2119-2148.
83. XING, J. & GERSTEIN, G.L. (1994). Simulation of dynamic receptive fields in primary visual cortex. Vision Research 34, 1901-1911.