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Volumn 4, Issue 5, 2006, Pages 836-843

A model of the ventral visual system based on temporal stability and local memory

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; ENTORHINAL CORTEX; HIPPOCAMPUS; MEMORY; RECEPTIVE FIELD; SIMULATION; STAGING; TEMPORAL LOBE; VISUAL CORTEX; VISUAL STIMULATION; VISUAL SYSTEM; BIOLOGICAL MODEL; BRAIN CORTEX; COMPUTER SIMULATION; PHYSIOLOGY; ROBOTICS; VISION;

EID: 33646748872     PISSN: 15457885     EISSN: 15457885     Source Type: Journal    
DOI: 10.1371/journal.pbio.0040120     Document Type: Article
Times cited : (120)

References (39)
  • 1
    • 0025718412 scopus 로고
    • Distributed hierarchical processing in the primate cerebral cortex
    • Felleman DJ, van Essen DC (1991) Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex 1: 1-47.
    • (1991) Cereb Cortex , vol.1 , pp. 1-47
    • Felleman, D.J.1    Van Essen, D.C.2
  • 2
    • 33645410496 scopus 로고
    • Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
    • Hubel DH, Wiesel TN (1962) Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J Physiol 160: 106-154.
    • (1962) J Physiol , vol.160 , pp. 106-154
    • Hubel, D.H.1    Wiesel, T.N.2
  • 3
    • 0030296837 scopus 로고    scopus 로고
    • Representation of visual features of objects in the inferotemporal cortex
    • Tanaka K (1996) Representation of visual features of objects in the inferotemporal cortex. Neural Netw 9: 1459-1475.
    • (1996) Neural Netw , vol.9 , pp. 1459-1475
    • Tanaka, K.1
  • 4
    • 0032499196 scopus 로고    scopus 로고
    • A cortical representation of the local visual environment
    • Epstein R, Kanwisher N (1998) A cortical representation of the local visual environment. Nature 392: 598-601.
    • (1998) Nature , vol.392 , pp. 598-601
    • Epstein, R.1    Kanwisher, N.2
  • 5
    • 0033855923 scopus 로고    scopus 로고
    • Category-specific visual responses of single neurons in the human medial temporal lobe
    • Kreiman G, Koch C, Fried I (2000) Category-specific visual responses of single neurons in the human medial temporal lobe. Nat Neurosci 3: 946-953.
    • (2000) Nat Neurosci , vol.3 , pp. 946-953
    • Kreiman, G.1    Koch, C.2    Fried, I.3
  • 8
    • 0028835353 scopus 로고
    • Size and position invariance of neuronal responses in monkey inferotemporal cortex
    • Ito M, Tamura H, Fujita I, Tanaka K (1995) Size and position invariance of neuronal responses in monkey inferotemporal cortex. J Neurophysiol 73: 218-226.
    • (1995) J Neurophysiol , vol.73 , pp. 218-226
    • Ito, M.1    Tamura, H.2    Fujita, I.3    Tanaka, K.4
  • 9
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • Fukushima K (1980) Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol Cybern 36: 193-202.
    • (1980) Biol Cybern , vol.36 , pp. 193-202
    • Fukushima, K.1
  • 10
    • 0030476783 scopus 로고    scopus 로고
    • Using spatio-temporal correlations to learn invariant object recognition
    • Wallis G (1996) Using spatio-temporal correlations to learn invariant object recognition. Neural Netw 9: 1513-1519.
    • (1996) Neural Netw , vol.9 , pp. 1513-1519
    • Wallis, G.1
  • 11
    • 0031040957 scopus 로고    scopus 로고
    • Invariant face and object recognition in the visual system
    • Wallis G, Rolls ET (1997) Invariant face and object recognition in the visual system. Prog Neurobiol 51: 167-194.
    • (1997) Prog Neurobiol , vol.51 , pp. 167-194
    • Wallis, G.1    Rolls, E.T.2
  • 12
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognition in cortex
    • Riesenhuber M, Poggio T (1999) Hierarchical models of object recognition in cortex. Nat Neursci 2: 1019-1025.
    • (1999) Nat Neursci , vol.2 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2
  • 13
    • 0038159929 scopus 로고    scopus 로고
    • Learning optimized features for hierarchical models of invariant object recognition
    • Wersing H, Körner E (2003) Learning optimized features for hierarchical models of invariant object recognition. Neural Comput 15: 1559-1588.
    • (2003) Neural Comput , vol.15 , pp. 1559-1588
    • Wersing, H.1    Körner, E.2
  • 14
    • 0002014402 scopus 로고
    • Possible principles underlying the transformation of sensory messages
    • Rosenblith W, editor. Cambridge (Massachusetts): MIT Press
    • Barlow HB (1961) Possible principles underlying the transformation of sensory messages. In: Rosenblith W, editor. Sensory Communication. Cambridge (Massachusetts): MIT Press. pp. 336-360.
    • (1961) Sensory Communication , pp. 336-360
    • Barlow, H.B.1
  • 15
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen BA, Field DJ (1996) Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381: 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 16
    • 0036212160 scopus 로고    scopus 로고
    • Efficient coding of natural sounds
    • Lewicki MS (2002) Efficient coding of natural sounds. Nat Neurosci 5: 356-363.
    • (2002) Nat Neurosci , vol.5 , pp. 356-363
    • Lewicki, M.S.1
  • 17
    • 0000188120 scopus 로고
    • Learning invariance from transformation seqeuences
    • Földiak P (1991) Learning invariance from transformation seqeuences. Neural Comput 3: 194-200.
    • (1991) Neural Comput , vol.3 , pp. 194-200
    • Földiak, P.1
  • 18
    • 0033556920 scopus 로고    scopus 로고
    • Implicit learning in 3D object recognition: The importance of temporal context
    • Becker S (1999) Implicit learning in 3D object recognition: The importance of temporal context. Neural Comput 11: 347-374.
    • (1999) Neural Comput , vol.11 , pp. 347-374
    • Becker, S.1
  • 19
    • 0036546660 scopus 로고    scopus 로고
    • Slow feature analysis: Unsupervised learning of invariances
    • Wiskott L, Sejnowski TJ (2002) Slow feature analysis: Unsupervised learning of invariances. Neural Comput 14: 715-770.
    • (2002) Neural Comput , vol.14 , pp. 715-770
    • Wiskott, L.1    Sejnowski, T.J.2
  • 20
    • 18244431804 scopus 로고    scopus 로고
    • How are complex cell properties adapted to the statistics of natural stimuli?
    • Körding KP, Kayser C, Einhäuser W, König P (2004) How are complex cell properties adapted to the statistics of natural stimuli? J Neurophysiol 91: 206-212.
    • (2004) J Neurophysiol , vol.91 , pp. 206-212
    • Körding, K.P.1    Kayser, C.2    Einhäuser, W.3    König, P.4
  • 21
    • 0023267538 scopus 로고
    • The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells
    • Muller RU, Kubie JL (1987) The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells. J Neurosci 7: 1951-1968.
    • (1987) J Neurosci , vol.7 , pp. 1951-1968
    • Muller, R.U.1    Kubie, J.L.2
  • 22
    • 0034152994 scopus 로고    scopus 로고
    • Selectivity for complex shapes in primate visual area v2
    • Hegde J, Van Essen DC (2000) Selectivity for complex shapes in primate visual area v2. J Neurosci 20: RC61.
    • (2000) J Neurosci , vol.20
    • Hegde, J.1    Van Essen, D.C.2
  • 23
    • 0032693649 scopus 로고    scopus 로고
    • Responses to contour features in macaque area v4
    • Pasupathy A, Connor CE (1999) Responses to contour features in macaque area v4. J. Neurophysiol 82: 2490-2502.
    • (1999) J Neurophysiol , vol.82 , pp. 2490-2502
    • Pasupathy, A.1    Connor, C.E.2
  • 24
    • 0031930592 scopus 로고    scopus 로고
    • Interpreting neuronal population activity by reconstruction: Unified framework with application in hippocampal place cells
    • Zhang K, Ginzburg I, McNaughton BL, Sejnowski TJ (1998) Interpreting neuronal population activity by reconstruction: Unified framework with application in hippocampal place cells. J Neurophysiol 79: 1017-1044.
    • (1998) J Neurophysiol , vol.79 , pp. 1017-1044
    • Zhang, K.1    Ginzburg, I.2    McNaughton, B.L.3    Sejnowski, T.J.4
  • 25
    • 0026143363 scopus 로고
    • Experience-dependent modifications of hippocampal place cell firing
    • Bostock E, Muller R, Kubie JL (1991) Experience-dependent modifications of hippocampal place cell firing. Hippocampus 1: 193-205.
    • (1991) Hippocampus , vol.1 , pp. 193-205
    • Bostock, E.1    Muller, R.2    Kubie, J.L.3
  • 26
    • 0029999805 scopus 로고    scopus 로고
    • Geometric determinants of the place fields of hippocampal neurons
    • O'Keefe J, Burgess N (1996) Geometric determinants of the place fields of hippocampal neurons. Nature 381: 425-428.
    • (1996) Nature , vol.381 , pp. 425-428
    • O'Keefe, J.1    Burgess, N.2
  • 27
    • 0033000819 scopus 로고    scopus 로고
    • Categorization of complex visual images by rhesus monkeys. Part 2: Single-cell study
    • Vogels R (1999) Categorization of complex visual images by rhesus monkeys. Part 2: Single-cell study. Eur J Neurosci 11: 1239-1255.
    • (1999) Eur J Neurosci , vol.11 , pp. 1239-1255
    • Vogels, R.1
  • 28
    • 0036334714 scopus 로고    scopus 로고
    • The effect of image scrambling on visual cortical bold activity in the anesthetized monkey
    • Rainer G, Augath M, Trinath T, Logothetis NK (2002) The effect of image scrambling on visual cortical bold activity in the anesthetized monkey. Neuroimage 16: 607-616.
    • (2002) Neuroimage , vol.16 , pp. 607-616
    • Rainer, G.1    Augath, M.2    Trinath, T.3    Logothetis, N.K.4
  • 29
    • 0041825352 scopus 로고    scopus 로고
    • Learning the nonlinearity of neurons from natural visual stimuli
    • Kayser C, Körding KP, König P (2003) Learning the nonlinearity of neurons from natural visual stimuli. Neural Comput 15: 1751-1759.
    • (2003) Neural Comput , vol.15 , pp. 1751-1759
    • Kayser, C.1    Körding, K.P.2    König, P.3
  • 30
    • 0037172984 scopus 로고    scopus 로고
    • Computational subunits of visual cortical neurons revealed by artificial neural networks
    • U S A
    • Lau B, Stanley GB, Dan Y (2002) Computational subunits of visual cortical neurons revealed by artificial neural networks. Proc Natl Acad Sci U S A 99: 8974-8979.
    • (2002) Proc Natl Acad Sci , vol.99 , pp. 8974-8979
    • Lau, B.1    Stanley, G.B.2    Dan, Y.3
  • 32
    • 3943088427 scopus 로고    scopus 로고
    • Neuronal circuits of the neocortex
    • Douglas RJ, Martin KA (2004) Neuronal circuits of the neocortex. Annu Rev Neurosci 27: 419-451.
    • (2004) Annu Rev Neurosci , vol.27 , pp. 419-451
    • Douglas, R.J.1    Martin, K.A.2
  • 34
    • 0037698895 scopus 로고    scopus 로고
    • Concepts of localization: Balkanization in the brain
    • Mundale J (2002) Concepts of localization: Balkanization in the brain. Brain Mind 3: 313-330.
    • (2002) Brain Mind , vol.3 , pp. 313-330
    • Mundale, J.1
  • 35
    • 0035316289 scopus 로고    scopus 로고
    • Development and plasticity of cortical areas and networks
    • Sur M, Leamy CA (2001) Development and plasticity of cortical areas and networks. Nat Rev Neurosci 2: 251-262.
    • (2001) Nat Rev Neurosci , vol.2 , pp. 251-262
    • Sur, M.1    Leamy, C.A.2
  • 36
  • 37
    • 0024227018 scopus 로고
    • Experimentally induced visual projections into auditory thalamus and cortex
    • Sur M, Garraghty PE, Roe AW (1988) Experimentally induced visual projections into auditory thalamus and cortex. Science 242: 1437-1441.
    • (1988) Science , vol.242 , pp. 1437-1441
    • Sur, M.1    Garraghty, P.E.2    Roe, A.W.3
  • 38
    • 0038392753 scopus 로고    scopus 로고
    • Early "visual" cortex activation correlates with superior verbal memory performance in the blind
    • Amedi A, Raz N, Pianka P, Malach R, Zohary E (2003) Early "visual" cortex activation correlates with superior verbal memory performance in the blind. Nat Neursci 6: 758-766.
    • (2003) Nat Neursci , vol.6 , pp. 758-766
    • Amedi, A.1    Raz, N.2    Pianka, P.3    Malach, R.4    Zohary, E.5
  • 39


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.