On the road to invariant recognition: Explaining tradeoff and morph properties of cells in inferotemporal cortex using multiple-scale task-sensitive attentive learning

Neural Networks

Volumn 24, Issue 10, 2011, Pages 1036-1049

  Grossberg, Stephen ^a   Markowitz, Jeffrey ^a   Cao, Yongqiang ^a  

^a BOSTON UNIVERSITY   (United States)

Author keywords

Adaptive resonance theory; Amnesia; Attention; Autism; Categorization; Cortical magnification factor; Image morphs; Inferotemporal cortex; Multiple spatial scales; Object recognition; Selectivity tolerance tradeoff; Vigilance

Indexed keywords

ADAPTIVE RESONANCE THEORY; AMNESIA; ATTENTION; AUTISM; CATEGORIZATION; IMAGE MORPHS; INFEROTEMPORAL CORTEX; MAGNIFICATION FACTORS; SPATIAL SCALE; VIGILANCE;

ANIMALS; DISEASES;

OBJECT RECOGNITION;

ALERTNESS; ARTICLE; ATTENTIVE LEARNING; BRAIN FUNCTION; INFERIOR TEMPORAL CORTEX; INVARIANT RECOGNITION; LEARNING; MENTAL TASK; NERVE CELL; NEUROPHYSIOLOGY; NONHUMAN; PRIORITY JOURNAL; RECEPTIVE FIELD; RECOGNITION; SIMULATION; STIMULUS RESPONSE; TASK PERFORMANCE; VISUAL MEMORY; VISUAL ORIENTATION;

ANIMALS; AROUSAL; ATTENTION; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NEURONS; PATTERN RECOGNITION, VISUAL; PRIMATES; SPECIES SPECIFICITY; TEMPORAL LOBE; VISUAL CORTEX; VISUAL PATHWAYS;

EID: 80054778974     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2011.04.001     Document Type: Article

References (81)

1. Akrami A., Lui Y., Treves A., Jagadeesh B. Converging neuronal activity in inferior temporal cortex during the classification of morphed stimuli. Cerebral Cortex 2009, 19:760-776.
2. Alvarez G.A., Cavanagh P. Visual short-term memory operates more efficiently on boundary features than on surface features. Perception and Psychophysics 2008, 70(2):346-364.
3. Banquet J., Grossberg S. Probing cognitive processes through the structure of event-related potentials during learning: an experimental and theoretical analysis. Applied Optics 1987, 26(23):4931-4946.
4. Bhatt R., Carpenter G.A., Grossberg S. Texture segregation by visual cortex: perceptual grouping, attention, and learning. Vision Research 2007, 47(25):3173-3211.
5. Bradski G., Grossberg S. Fast-learning VIEWNET architectures for recognizing three-dimensional objects from multiple two-dimensional views. Neural Networks 1995, 8(7-8):1053-1080.
6. Burt P., Adelson E. The Laplacian pyramid as a compact image code. Communications, IEEE Transactions on Communications 1983, 31(4):532-540.
7. Cao Y., Grossberg S. A laminar cortical model of stereopsis and 3D surface perception: closure and da Vinci stereopsis. Spatial Vision 2005, 18(5):515-578.
8. Cao, Y., & Grossberg, S. (2011). Stereopsis and 3D surface perception by spiking neurons in laminar cortical circuits: a method for converting neural rate models into spiking models (submitted for publication).
9. Cao Y., Grossberg S., Markowitz J. How does the brain rapidly learn and recognize view- and positionally-invariant object representations in inferior temporal cortex?. Neural Networks 2011, 24(10):1050-1061.
10. Carpenter, G. A., & Gjaja, N. M. (1994). Fuzzy ART choice functions. in Proceedings of the world congress on neural networks (pp. 713-722).
11. Carpenter G.A., Grossberg S. Pattern recognition by self-organizing neural networks 1991, MIT Press, Cambridge, MA, USA.
12. Carpenter G.A., Grossberg S. Normal and amnesic learning, recognition and memory by a neural model of cortico-hippocampal interactions. Trends in Neurosciences 1993, 16(4):131-137.
13. Carpenter G.A., Grossberg S. ART3: hierarchical search using chemical transmitters in self-organizing pattern recognition architectures. Neural Networks 1990, 3(2):129-152.
14. Carpenter G.A., Grossberg S., Rosen D.B. Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 1991, 4(6):759-771.
15. Chiu Y.C., Yantis S. A domain-independent source of cognitive control for task sets: shifting spatial attention and switching categorization rules. Journal of Neuroscience 2009, 29(12):3930.
16. Clay R., Alonso J.M. Specificity of monosynaptic connections from thalamus to visual cortex. Nature 1995, 378(6554):281-284.
17. Daniel P.M., Whitteridge D. The representation of the visual field on the cerebral cortex in monkeys. The Journal of Physiology 1961, 159(2):203.
18. Davidoff J. Cognition through color 1991, MIT Press, Cambridge, MA.
19. Desimone R. Visual attention mediated by biased competition in extrastriate visual cortex. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 1998, 353(1373):1245-1255.
20. DiCarlo J.J., Maunsell J.H. Anterior inferotemporal neurons of monkeys engaged in object recognition can be highly sensitive to object retinal position. Journal of Neurophysiology 2003, 89(6):3264-3278.
21. Dubois P.F., Hinsen K., Hugunin J. Numerical Python. Computers in Physics 1996, 10(3).
22. Elder J.H., Zucker S.W. Evidence for boundary-specific grouping. Vision Research 1998, 38(1):143-152.
23. Engel A.K., Fries P., Singer W. Dynamic predictions: oscillations and synchrony in top-down processing. Nature Reviews Neuroscience 2001, 2(10):704-716.
24. Ettlinger G., Iwai E., Mishkin M., Rosvold H.E. Visual discrimination in the monkey following serial ablation of inferotemporal and preoccipital cortex. Journal of Comparative and Physiological Psychology 1968, 65(1):110-117.
25. Fang L., Grossberg S. From stereogram to surface: how the brain sees the world in depth. Spatial Vision 2009, 22(1):45-82.
26. Fazl A., Grossberg S., Mingolla E. View-invariant object category learning, recognition, and search: how spatial and object attention are coordinated using surface-based attentional shrouds. Cognitive Psychology 2009, 58(1):1-48.
27. Fei L.F., Fergus R., Perona P. One-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence 2006, 28(4):594-611.
28. Fischer B. Overlap of receptive field centers and representation of the visual field in the cat's optic tract. Vision Research 1973, 13(11):2113.
29. Foster K., Gaska J., Nagler M., Pollen D. Spatial and temporal frequency selectivity of neurones in visual cortical areas V1 and V2 of the macaque monkey. Journal of Physiology 1985, 365(1):331-363.
30. Fukushima K. Neocognitron: a hierarchical neural network capable of visual pattern recognition. Neural Networks 1988, 1(2):119-130.
31. Fukushima K. Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics 1980, 36(4):193-202.
32. Gochin P.M. Properties of simulated neurons from a model of primate inferior temporal cortex. Cerebral Cortex 1994, 4(5):532-543.
33. Grossberg S. How does a brain build a cognitive code?. Psychological Review 1980, 87(1):1-51.
34. Grossberg S. How does the cerebral cortex work? Development, learning, attention, and 3-D vision by laminar circuits of visual cortex. Behavioral and Cognitive Neuroscience Reviews 2003, 2(1):47-76.
35. Grossberg S. Consciousness CLEARS the mind. Neural Networks: The Official Journal of the International Neural Network Society 2007, 20(9):1040-1053.
36. Grossberg S., Hong S. A neural model of surface perception: lightness, anchoring, and filling-in. Spatial Vision 2006, 19(2-4):263-321.
37. Grossberg S. Contour enhancement, short term memory, and constancies in reverberating neural networks. Studies in Applied Mathematics 1973, 52(3):213-257.
38. Grossberg S. 3-D vision and figure-ground separation by visual cortex. Perception & Psychophysics 1994, 55(1):48-121.
39. Grossberg S., Kuhlmann L., Mingolla E. A neural model of 3D shape-from-texture: multiple-scale filtering, boundary grouping, and surface filling-in. Vision Research 2007, 47(5):634-672.
40. Grossberg S., Merrill J.W. The hippocampus and cerebellum in adaptively timed learning, recognition, and movement. Journal of Cognitive Neuroscience 1996, 8(3):257-277.
41. Grossberg S., Mingolla E. Neural dynamics of perceptual grouping: textures, boundaries, and emergent segmentations. Perceptual Psychophysics 1985, 38(2):141-171.
42. Grossberg S., Raizada R.D.S. Contrast-sensitive perceptual grouping and object-based attention in the laminar circuits of primary visual cortex. Vision Research 2000, 40(10-12):1413-1432.
43. Grossberg S., Seidman D. Neural dynamics of autistic behaviors: cognitive, emotional, and timing substrates. Psychological Review 2006, 113(3):483-525.
44. Grossberg S., Versace M. Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Brain Research 2008, 1218:278-312.
45. Grossberg S., Williamson J.R. A self-organizing neural system for learning to recognize textured scenes. Vision Research 1999, 39(7):1385-1406.
46. Grossberg S., Yazdanbakhsh A. Laminar cortical dynamics of 3D surface perception: stratification, transparency, and neon color spreading. Vision Research 2005, 45(13):1725-1743.
47. Gross C.G., Miranda R.C.E., Bender D.B. Visual properties of neurons in inferotemporal cortex of the Macaque. Journal of Neurophysiology 1972, 35(1):96-111.
48. Hirsch J.A., Alonso J.M., Reid C.R., Martinez L.M. Synaptic integration in striate cortical simple cells. Journal of Neuroscience 1998, 18(22):9517-9528.
49. Hodgkin A.L. The conduction of the nervous impulse 1964, Charles C. Thomas, Springfield, IL.
50. Horton J.C., Hoyt W.F. The representation of the visual field in human striate cortex. A revision of the classic Holmes map. Archives of Ophthalmology 1991, 109(6):816-824.
51. Hubel D.H., Wiesel T.N. Receptive fields of single neurones in the cat's striate cortex. The Journal of Physiology 1959, 148:574-591.
52. Hubel D.H., Wiesel T.N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. Journal of Physiology 1962, 160:106-154.
53. Hunter J. Matplotlib: a 2D graphics environment. Computing in Science & Engineering 2007, 9(3):90-95.
54. Jones, E., Oliphant, T., Peterson, P., & & others, (2001). SciPy: open source scientific tools for Python. Retrieved from http://www.scipy.org/.
55. Julesz B., Schumer A. Early visual perception. Annual Review of Psychology 1981, 32:575-627.
56. Kelly F., Grossberg S. Neural dynamics of 3-D surface perception: figure-ground separation and lightness perception. Perception and Psychophysics 2000, 62(8):1596-1618.
57. Lamme V.A., Rodriguez-Rodriguez V., Spekreijse H. Separate processing dynamics for texture elements, boundaries and surfaces in primary visual cortex of the macaque monkey. Cerebral Cortex 1999, 9(4):406.
58. Li L., Miller E.K., Desimone R. The representation of stimulus familiarity in anterior inferior temporal cortex. Journal of Neurophysiology 1993, 69(6):1918-1929.
59. Mingolla E., Ross W., Grossberg S. A neural network for enhancing boundaries and surfaces in synthetic aperture radar images. Neural Networks 1999, 12(3):499-511.
60. Movshon J.A., Thompson I.D., Tolhurst D.J. Spatial and temporal contrast sensitivity of neurones in areas 17 and 18 of the cat's visual cortex. Journal of Physiology 1978, 283(1):101-120.
61. Pollen D.A. On the neural correlates of visual perception. Cerebral Cortex 1999, 9(1):4.
62. Porat M., Zeevi Y.Y. The generalized Gabor scheme of image representation in biological and machine vision. IEEE Transactions on Pattern Analysis and Machine Intelligence 1988, 10(4):452-468.
63. Raizada R.D., Grossberg S. Towards a theory of the laminar architecture of cerebral cortex: computational clues from the visual system. Cerebral Cortex 2003, 13(1):100.
64. Reynolds J.H., Heeger D.J. The normalization model of attention. Neuron 2009, 61(2):168-185.
65. Riesenhuber M., Poggio T. Hierarchical models of object recognition in cortex. Nature Neuroscience 1999, 2(11):1019-1025.
66. Riesenhuber M., Poggio T. Neural mechanisms of object recognition. Current Opinion in Neurobiology 2002, 12(2):162-168.
67. Rogers-Ramachandran D.C., Ramachandran V.S. Psychophysical evidence for boundary and surface systems in human vision. Vision Research 1998, 38(1):71-77.
68. Rosenfeld A., Thurston M. Edge and curve detection for visual scene analysis. IEEE Transactions on Computers 1971, C-20(5):562-569.
69. Schwartz E.L. Computational anatomy and functional architecture of striate cortex: a spatial mapping approach to perceptual coding. Vision Research 1980, 20(8):645-669.
70. Schwartz E.L., Desimone R., Albright T.D., Gross C.G. Shape recognition and inferior temporal neurons. Proceedings of the National Academy of Sciences 1983, 80(18):5776-5778.
71. Serre T., Kreiman G., Kouh M., Cadieu C., Knoblich U., Poggio T. A quantitative theory of immediate visual recognition. Progress in Brain Research 2007, 165:33-56.
72. Serre T., Oliva A., Poggio T. A feedforward architecture accounts for rapid categorization. Proceedings of the National Academy of Sciences 2007, 104(15).
73. Spitzer H., Desimone R., Moran J. Increased attention enhances both behavioral and neuronal performance. Science 1988, 240:338-340.
74. Stringer S.M., Perry G., Rolls E.T., Proske J.H. Learning invariant object recognition in the visual system with continuous transformations. Biological Cybernetics 2006, 94(2):128-142.
75. Tootell R.B., Silverman M.S., Switkes E., De Valois R.L. Deoxyglucose analysis of retinotopic organization in primate striate cortex. Science 1982, 218(4575):902.
76. Tyler C.W. Spatial organization of binocular disparity sensitivity. Vision Research 1975, 15(5):583-590.
77. Van Essen D.C., Newsome W.T., Maunsell J.H. The visual field representation in striate cortex of the macaque monkey: asymmetries, anisotropies, and individual variability. Vision Research 1984, 24(5):429-448.
78. von der Heydt R., Peterhans E. Mechanisms of contour perception in monkey visual cortex. I. Lines of pattern discontinuity. Journal of Neuroscience 1989, 9(5):1731.
79. von der Heydt R., Peterhans E., Baumgartner G. Illusory contours and cortical neuron responses. Science 1984, 224(4654):1260-1262.
80. Watson A.B. The cortex transform: rapid computation of simulated neural images. Computer Vision, Graphics, and Image Processing 1987, 39(3):311-327.
81. Zoccolan D., Kouh M., Poggio T., DiCarlo J.J. Trade-off between object selectivity and tolerance in monkey inferotemporal cortex. Journal of Neuroscience 2007, 27(45):12292-12307.