메뉴 건너뛰기




Volumn , Issue , 2013, Pages 565-579

Computational models of visual object recognition

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84917688880     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b14756     Document Type: Chapter
Times cited : (3)

References (100)
  • 1
    • 0029954372 scopus 로고    scopus 로고
    • Representational capacity of face coding in monkeys
    • Abbott LF, Rolls ET, Tovee MJ. 1996. Representational capacity of face coding in monkeys. Cerebral Cortex 6:498-505.
    • (1996) Cerebral Cortex , vol.6 , pp. 498-505
    • Abbott, L.F.1    Rolls, E.T.2    Tovee, M.J.3
  • 2
    • 85054750085 scopus 로고    scopus 로고
    • An integrated network for invariant visual detection and recognition
    • Amit Y, Mascaro M. 2002. An integrated network for invariant visual detection and recognition. Vision Research 43:14.
    • (2002) Vision Research , vol.43 , pp. 14
    • Amit, Y.1    Mascaro, M.2
  • 3
    • 0038798610 scopus 로고    scopus 로고
    • An integrated network for invariant visual detection and recognition
    • Amit Y, Mascaro M. 2003. An integrated network for invariant visual detection and recognition. Vision Research 43:2073-2088.
    • (2003) Vision Research , vol.43 , pp. 2073-2088
    • Amit, Y.1    Mascaro, M.2
  • 5
    • 0023322501 scopus 로고
    • Recognition-by-components: A theory of human image understanding
    • Biederman I. 1987. Recognition-by-components: A theory of human image understanding. Psychological Review 24:115-147.
    • (1987) Psychological Review , vol.24 , pp. 115-147
    • Biederman, I.1
  • 6
    • 77956380295 scopus 로고    scopus 로고
    • How cortical neurons help us see: Visual recognition in the human brain
    • Blumberg J, Kreiman G. 2010. How cortical neurons help us see: Visual recognition in the human brain. Journal of Clinical Investigation 120:3054-3063.
    • (2010) Journal of Clinical Investigation , vol.120 , pp. 3054-3063
    • Blumberg, J.1    Kreiman, G.2
  • 9
    • 3342988001 scopus 로고    scopus 로고
    • Underlying principles of visual shape selectivity in posterior inferotemporal cortex
    • Brincat SL, Connor CE. 2004. Underlying principles of visual shape selectivity in posterior inferotemporal cortex. Nature Neuroscience 7:880-886.
    • (2004) Nature Neuroscience , vol.7 , pp. 880-886
    • Brincat, S.L.1    Connor, C.E.2
  • 10
    • 0029063252 scopus 로고
    • How are three-dimensional objects represented in the brain?
    • Bulthoff HH, Edelman SY, Tarr MJ. 1995. How are three-dimensional objects represented in the brain? Cerebral Cortex 5:247-260.
    • (1995) Cerebral Cortex , vol.5 , pp. 247-260
    • Bulthoff, H.H.1    Edelman, S.Y.2    Tarr, M.J.3
  • 12
    • 0031953879 scopus 로고    scopus 로고
    • Local circuits in primary visual cortex of the macaque monkey
    • Callaway EM. 1998. Local circuits in primary visual cortex of the macaque monkey. Annual Review of Neuroscience 21:47-74.
    • (1998) Annual Review of Neuroscience , vol.21 , pp. 47-74
    • Callaway, E.M.1
  • 13
    • 4344636297 scopus 로고    scopus 로고
    • Feedforward, feedback and inhibitory connections in primate visual cortex
    • Callaway EM. 2004. Feedforward, feedback and inhibitory connections in primate visual cortex. Neural Network 17:625-632.
    • (2004) Neural Network , vol.17 , pp. 625-632
    • Callaway, E.M.1
  • 15
    • 0030780094 scopus 로고    scopus 로고
    • Linearity and normalization in simple cells of the macaque primary visual cortex
    • Carandini M, Heeger DJ, Movshon JA. 1997. Linearity and normalization in simple cells of the macaque primary visual cortex. Journal of Neuroscience 17:8621-8644.
    • (1997) Journal of Neuroscience , vol.17 , pp. 8621-8644
    • Carandini, M.1    Heeger, D.J.2    Movshon, J.A.3
  • 16
    • 77957749371 scopus 로고    scopus 로고
    • What and where: A Bayesian inference theory of attention
    • Chikkerur S, Serre T, Tan C, Poggio, T. 2010. What and where: A Bayesian inference theory of attention. Vision Research 50:2233-2247.
    • (2010) Vision Research , vol.50 , pp. 2233-2247
    • Chikkerur, S.1    Serre, T.2    Tan, C.3    Poggio, T.4
  • 17
    • 33646857917 scopus 로고    scopus 로고
    • Tuning curve shift by attention modulation in cortical neurons: A computational study of its mechanisms
    • Compte A, Wang XJ. 2006. Tuning curve shift by attention modulation in cortical neurons: A computational study of its mechanisms. Cerebral Cortex 16:761-778.
    • (2006) Cerebral Cortex , vol.16 , pp. 761-778
    • Compte, A.1    Wang, X.J.2
  • 20
    • 0348226496 scopus 로고    scopus 로고
    • A neurodynamical cortical model of visual attention and invariant object recognition
    • Deco G, Rolls ET. 2004. A neurodynamical cortical model of visual attention and invariant object recognition. Vision Research 44:621-642.
    • (2004) Vision Research , vol.44 , pp. 621-642
    • Deco, G.1    Rolls, E.T.2
  • 21
    • 27744454167 scopus 로고    scopus 로고
    • Attention, short-term memory, and action selection: A unifying theory
    • Deco G, Rolls ET. 2005. Attention, short-term memory, and action selection: A unifying theory. Progress in Neurobiology 76:236-256.
    • (2005) Progress in Neurobiology , vol.76 , pp. 236-256
    • Deco, G.1    Rolls, E.T.2
  • 23
    • 84856743552 scopus 로고    scopus 로고
    • How does the brain solve visual object recognition?
    • DiCarlo JJ, Zoccolan D, Rust NC. 2012. How does the brain solve visual object recognition? Neuron 73:415-434.
    • (2012) Neuron , vol.73 , pp. 415-434
    • DiCarlo, J.J.1    Zoccolan, D.2    Rust, N.C.3
  • 27
    • 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. Cerebral Cortex 1:1-47.
    • (1991) Cerebral Cortex , vol.1 , pp. 1-47
    • Felleman, D.J.1    Van Essen, D.C.2
  • 28
    • 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. Biological Cybernetics 36:193-202.
    • (1980) Biological Cybernetics , vol.36 , pp. 193-202
    • Fukushima, K.1
  • 31
    • 34247111185 scopus 로고    scopus 로고
    • A comparative study of shape representation in macaque visual areas v2 and v4
    • Hegde J, Van Essen DC. 2007. A comparative study of shape representation in macaque visual areas v2 and v4. Cerebral Cortex 17:1100-1116.
    • (2007) Cerebral Cortex , vol.17 , pp. 1100-1116
    • Hegde, J.1    Van Essen, D.C.2
  • 33
    • 0026980087 scopus 로고
    • How neural networks learn from experience
    • Hinton G. 1992. How neural networks learn from experience. Scientific American 267:145-151.
    • (1992) Scientific American , vol.267 , pp. 145-151
    • Hinton, G.1
  • 34
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • Hinton GE, Salakhutdinov RR. 2006. Reducing the dimensionality of data with neural networks. Science 313:504-507.
    • (2006) Science , vol.313 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 35
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield JJ. 1982. Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences 79:2554-2558.
    • (1982) Proceedings of the National Academy of Sciences , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 36
  • 37
    • 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. Journal of Physiology 160:106-154.
    • (1962) Journal of Physiology , vol.160 , pp. 106-154
    • Hubel, D.H.1    Wiesel, T.N.2
  • 38
    • 0026886752 scopus 로고
    • Dynamic binding in a neural network for shape recognition
    • Hummel JE, Biederman I. 1992. Dynamic binding in a neural network for shape recognition. Psychological Review 99:480-517.
    • (1992) Psychological Review , vol.99 , pp. 480-517
    • Hummel, J.E.1    Biederman, I.2
  • 39
    • 27644475783 scopus 로고    scopus 로고
    • Fast read-out of object identity from macaque inferior temporal cortex
    • Hung C, Kreiman G, Poggio T, DiCarlo J. 2005. Fast read-out of object identity from macaque inferior temporal cortex. Science 310:863-866.
    • (2005) Science , vol.310 , pp. 863-866
    • Hung, C.1    Kreiman, G.2    Poggio, T.3    DiCarlo, J.4
  • 40
    • 0035286497 scopus 로고    scopus 로고
    • Computational modeling of visual attention
    • Itti L, Koch C. 2001. Computational modeling of visual attention. National Review of Neuroscience 2:194-203.
    • (2001) National Review of Neuroscience , vol.2 , pp. 194-203
    • Itti, L.1    Koch, C.2
  • 41
    • 0034972776 scopus 로고    scopus 로고
    • Predicting every spike: A model for the responses of visual neurons
    • Keat J, Reinagel P, Reid RC, Meister M. 2001. Predicting every spike: A model for the responses of visual neurons. Neuron 30:803-817.
    • (2001) Neuron , vol.30 , pp. 803-817
    • Keat, J.1    Reinagel, P.2    Reid, R.C.3    Meister, M.4
  • 44
    • 31844451806 scopus 로고    scopus 로고
    • Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited
    • Kirchner H, Thorpe SJ. 2006. Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited. Vision Research 46:1762-1776.
    • (2006) Vision Research , vol.46 , pp. 1762-1776
    • Kirchner, H.1    Thorpe, S.J.2
  • 45
    • 34447307700 scopus 로고    scopus 로고
    • Visual adaptation: Physiology, mechanisms, and functional benefits
    • Kohn A. 2007. Visual adaptation: Physiology, mechanisms, and functional benefits. Journal of Neurophysiology 97:3155-3164.
    • (2007) Journal of Neurophysiology , vol.97 , pp. 3155-3164
    • Kohn, A.1
  • 46
    • 45749108562 scopus 로고    scopus 로고
    • A canonical neural circuit for cortical nonlinear operations
    • Kouh M, Poggio T. 2008. A canonical neural circuit for cortical nonlinear operations. Neural Computation 20: 1427-1451.
    • (2008) Neural Computation , vol.20 , pp. 1427-1451
    • Kouh, M.1    Poggio, T.2
  • 48
    • 14844326685 scopus 로고    scopus 로고
    • Intracellular measurements of spatial integration and the MAX operation in complex cells of the cat primary visual cortex
    • Lampl I, Ferster D, Poggio T, Riesenhuber M. 2004. Intracellular measurements of spatial integration and the MAX operation in complex cells of the cat primary visual cortex. Journal of Neurophysiology 92:2704-2713.
    • (2004) Journal of Neurophysiology , vol.92 , pp. 2704-2713
    • Lampl, I.1    Ferster, D.2    Poggio, T.3    Riesenhuber, M.4
  • 52
    • 65249157935 scopus 로고    scopus 로고
    • Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex
    • Liu H, Agam Y, Madsen JR, Kreiman G. 2009. Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex. Neuron 62:281-290.
    • (2009) Neuron , vol.62 , pp. 281-290
    • Liu, H.1    Agam, Y.2    Madsen, J.R.3    Kreiman, G.4
  • 54
    • 0029294644 scopus 로고
    • Shape representation in the inferior temporal cortex of monkeys
    • Logothetis NK, Pauls J, Poggio T. 1995. Shape representation in the inferior temporal cortex of monkeys. Current Biology 5:552-563.
    • (1995) Current Biology , vol.5 , pp. 552-563
    • Logothetis, N.K.1    Pauls, J.2    Poggio, T.3
  • 55
    • 0003834557 scopus 로고
    • San Francisco: Freeman Publishers
    • Marr D. 1982. Vision. San Francisco: Freeman Publishers.
    • (1982) Vision.
    • Marr, D.1
  • 57
    • 0028788044 scopus 로고
    • The brain’s visual world: Representatioin of visual targets in cerebral cortex
    • Maunsell JHR. 1995. The brain’s visual world: Representatioin of visual targets in cerebral cortex. Science 270:764-769.
    • (1995) Science , vol.270 , pp. 764-769
    • Maunsell, J.H.R.1
  • 58
    • 0031570069 scopus 로고    scopus 로고
    • SEEMORE: Combining color, shape and texture histogramming in a neurally inspired approach to visual object recognition
    • Mel B. 1997. SEEMORE: Combining color, shape and texture histogramming in a neurally inspired approach to visual object recognition. Neural Computation 9:777.
    • (1997) Neural Computation , vol.9 , pp. 777
    • Mel, B.1
  • 59
    • 0023849447 scopus 로고
    • Neuronal correlate of pictorial short-term memory in the primate temporal cortex
    • Miyashita Y, Chang HS. 1988. Neuronal correlate of pictorial short-term memory in the primate temporal cortex. Nature 331:68-71.
    • (1988) Nature , vol.331 , pp. 68-71
    • Miyashita, Y.1    Chang, H.S.2
  • 60
    • 0026463329 scopus 로고
    • On the computational architecture of the neocortex. II. The role of cortico-cortical loops
    • Mumford D. 1992. On the computational architecture of the neocortex. II. The role of cortico-cortical loops. Biology of Cybernetics 66:241-251.
    • (1992) Biology of Cybernetics , vol.66 , pp. 241-251
    • Mumford, D.1
  • 61
    • 33845569574 scopus 로고    scopus 로고
    • Multiclass object recognition with sparse, localized features
    • New York
    • Mutch J, Lowe D. 2006. Multiclass object recognition with sparse, localized features. In: CVPR, pp 11-18. New York.
    • (2006) CVPR , pp. 11-18
    • Mutch, J.1    Lowe, D.2
  • 62
    • 0019800693 scopus 로고
    • Binocular rivalry in macaque monkeys and humans: A comparative study in perception
    • Myerson J, Miezin F, Allman J. 1981. Binocular rivalry in macaque monkeys and humans: A comparative study in perception. Behavioral Analysis Letters 1:149-159.
    • (1981) Behavioral Analysis Letters , vol.1 , pp. 149-159
    • Myerson, J.1    Miezin, F.2    Allman, J.3
  • 63
    • 33646047159 scopus 로고    scopus 로고
    • Discrimination strategies of humans and rhesus monkeys for complex visual displays
    • Nielsen KJ, Logothetis NK, Rainer G. 2006. Discrimination strategies of humans and rhesus monkeys for complex visual displays. Current Biology 16:814-820.
    • (2006) Current Biology , vol.16 , pp. 814-820
    • Nielsen, K.J.1    Logothetis, N.K.2    Rainer, G.3
  • 64
    • 0027379242 scopus 로고
    • A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information
    • Olshausen BA, Anderson CH, Van Essen DC. 1993. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information. Journal of Neuroscience 13:4700-4719.
    • (1993) Journal of Neuroscience , vol.13 , pp. 4700-4719
    • Olshausen, B.A.1    Anderson, C.H.2    Van Essen, D.C.3
  • 66
    • 73449129720 scopus 로고    scopus 로고
    • A high-throughput screening approach to discovering good forms of biologically inspired visual representation
    • Pinto N, Doukhan D, DiCarlo JJ, Cox DD. 2009. A high-throughput screening approach to discovering good forms of biologically inspired visual representation. PLoS Compution in Biology 5:e1000579.
    • (2009) PLoS Compution in Biology , vol.5 , pp. e1000579
    • Pinto, N.1    Doukhan, D.2    DiCarlo, J.J.3    Cox, D.D.4
  • 69
    • 0014542405 scopus 로고
    • Recognition memory for a rapid sequence of pictures
    • Potter M, Levy E. 1969. Recognition memory for a rapid sequence of pictures. Journal of Experimental Psychology 81:10-15.
    • (1969) Journal of Experimental Psychology , vol.81 , pp. 10-15
    • Potter, M.1    Levy, E.2
  • 70
    • 0347527070 scopus 로고    scopus 로고
    • Bayesian computation in recurrent neural circuits
    • Rao RP. 2004. Bayesian computation in recurrent neural circuits. Neural Computation 16:1-38.
    • (2004) Neural Computation , vol.16 , pp. 1-38
    • Rao, R.P.1
  • 71
    • 27544474179 scopus 로고    scopus 로고
    • Bayesian inference and attentional modulation in the visual cortex
    • Rao RP. 2005. Bayesian inference and attentional modulation in the visual cortex. Neuroreport 16:1843-1848.
    • (2005) Neuroreport , vol.16 , pp. 1843-1848
    • Rao, R.P.1
  • 72
    • 0033360288 scopus 로고    scopus 로고
    • Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects
    • Rao RP, Ballard DH. 1999. Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience 2:79-87.
    • (1999) Nature Neuroscience , vol.2 , pp. 79-87
    • Rao, R.P.1    Ballard, D.H.2
  • 74
    • 0021025070 scopus 로고
    • Visual responses in inferior temporal neurons in awake Rhesus monkey
    • Richmond B, Wurtz R, Sato T. 1983. Visual responses in inferior temporal neurons in awake Rhesus monkey. Journal of Neurophysiology 50:1415-1432.
    • (1983) Journal of Neurophysiology , vol.50 , pp. 1415-1432
    • Richmond, B.1    Wurtz, R.2    Sato, T.3
  • 75
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognition in cortex
    • Riesenhuber M, Poggio T. 1999. Hierarchical models of object recognition in cortex. Nature Neuroscience 2:1019-1025.
    • (1999) Nature Neuroscience , vol.2 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2
  • 77
    • 0026200915 scopus 로고
    • Neural organization of higher visual functions
    • Rolls E. 1991. Neural organization of higher visual functions. Current Opinion in Neurobiology 1:274-278.
    • (1991) Current Opinion in Neurobiology , vol.1 , pp. 274-278
    • Rolls, E.1
  • 81
    • 34247096930 scopus 로고    scopus 로고
    • Feedforward theories of visual cortex account for human performance in rapid categorization
    • Serre T, Oliva A, Poggio T. 2007a. Feedforward theories of visual cortex account for human performance in rapid categorization. Proceedings of the National Academy of Science 104:6424-6429.
    • (2007) Proceedings of the National Academy of Science , vol.104 , pp. 6424-6429
    • Serre, T.1    Oliva, A.2    Poggio, T.3
  • 82
    • 33847250785 scopus 로고    scopus 로고
    • A theory of object recognition: Computations and circuits in the feedforward path of the ventral stream in primate visual cortex
    • Boston: MIT
    • Serre T, Kouh M, Cadieu C, Knoblich U, Kreiman G, Poggio T. 2005b. A theory of object recognition: Computations and circuits in the feedforward path of the ventral stream in primate visual cortex. In: pp CBCL Paper #259/AI Memo #2005-2036. Boston: MIT.
    • (2005) CBCL Paper #259/AI Memo #2005-2036.
    • Serre, T.1    Kouh, M.2    Cadieu, C.3    Knoblich, U.4    Kreiman, G.5    Poggio, T.6
  • 84
    • 33747472134 scopus 로고    scopus 로고
    • Hierarchy and adaptivity in segmenting visual scenes
    • Sharon E, Galun M, Sharon D, Basri R, Brandt A. 2006. Hierarchy and adaptivity in segmenting visual scenes. Nature 442:810-813.
    • (2006) Nature , vol.442 , pp. 810-813
    • Sharon, E.1    Galun, M.2    Sharon, D.3    Basri, R.4    Brandt, A.5
  • 85
  • 88
    • 0029881112 scopus 로고    scopus 로고
    • Inferotemporal cortex and object vision
    • Tanaka K. 1996. Inferotemporal cortex and object vision. Annual Review of Neuroscience 19:109-139.
    • (1996) Annual Review of Neuroscience , vol.19 , pp. 109-139
    • Tanaka, K.1
  • 89
    • 0029895137 scopus 로고    scopus 로고
    • Speed of processing in the human visual system
    • Thorpe S, Fize D, Marlot C. 1996. Speed of processing in the human visual system. Nature 381:520-522.
    • (1996) Nature , vol.381 , pp. 520-522
    • Thorpe, S.1    Fize, D.2    Marlot, C.3
  • 91
    • 0038341540 scopus 로고
    • Analyzing vision at the complexity level
    • Tsotsos J. 1990. Analyzing vision at the complexity level. Behavioral and Brain Sciences 13-30:423-445.
    • (1990) Behavioral and Brain Sciences , vol.13-30 , pp. 423-445
    • Tsotsos, J.1
  • 93
    • 0002651020 scopus 로고
    • Two cortical visual systems
    • (Ingle D, Goodale M, Mansfield R, eds). Cambridge: MIT Press
    • Ungerleider L, Mishkin M. 1982. Two cortical visual systems. In: Analysis of Visual Behavior (Ingle D, Goodale M, Mansfield R, eds). Cambridge: MIT Press.
    • (1982) Analysis of Visual Behavior
    • Ungerleider, L.1    Mishkin, M.2
  • 94
    • 0024343369 scopus 로고
    • Terminal arbors of individual “feedback” axons projecting from area V2 to V1 in the macaque monkey: A study using immunohistochemistry of anterogradely transported phaseolus vulgaris-leucoagglutinin
    • Virga A, Rockland, KS. 1989. Terminal arbors of individual “feedback” axons projecting from area V2 to V1 in the macaque monkey: A study using immunohistochemistry of anterogradely transported phaseolus vulgaris-leucoagglutinin. The Journal of Comparative Neurology 285:54-72.
    • (1989) The Journal of Comparative Neurology , vol.285 , pp. 54-72
    • Virga, A.1    Rockland, K.S.2
  • 95
    • 0034982605 scopus 로고    scopus 로고
    • Inferior temporal neurons show greater sensitivity to nonaccidental than to metric shape differences
    • Vogels R, Biederman I, Bar M, Lorincz A. 2001. Inferior temporal neurons show greater sensitivity to nonaccidental than to metric shape differences. Journal of Cognitive Neuroscience 13:444-453.
    • (2001) Journal of Cognitive Neuroscience , vol.13 , pp. 444-453
    • Vogels, R.1    Biederman, I.2    Bar, M.3    Lorincz, A.4
  • 96
    • 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. Progress in Neurobiology 51:167-194.
    • (1997) Progress in Neurobiology , vol.51 , pp. 167-194
    • Wallis, G.1    Rolls, E.T.2
  • 98
    • 0000027741 scopus 로고
    • Learning structural descriptions from examples
    • (P. Winston, ed.). London: McGraw-Hill
    • Winston P. 1975. Learning structural descriptions from examples. In The psychology of computer vision, (P. Winston, ed.). London: McGraw-Hill, pp. 157-209.
    • (1975) The psychology of computer vision , pp. 157-209
    • Winston, P.1
  • 99
    • 54949090307 scopus 로고    scopus 로고
    • A neural code for three-dimensional object shape in macaque inferotemporal cortex
    • Yamane Y, Carlson ET, Bowman KC, Wang Z, Connor CE. 2008. A neural code for three-dimensional object shape in macaque inferotemporal cortex. Nature Neuroscience 11:1352-1360.
    • (2008) Nature Neuroscience , vol.11 , pp. 1352-1360
    • Yamane, Y.1    Carlson, E.T.2    Bowman, K.C.3    Wang, Z.4    Connor, C.E.5
  • 100
    • 33746220445 scopus 로고    scopus 로고
    • Vision as Bayesian inference: Analysis by synthesis?
    • Yuille A, Kersten D. 2006. Vision as Bayesian inference: Analysis by synthesis? Trends in Cognitive Science 10:301-308.
    • (2006) Trends in Cognitive Science , vol.10 , pp. 301-308
    • Yuille, A.1    Kersten, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.