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Volumn 10, Issue 12, 2014, Pages

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; MATHEMATICAL TRANSFORMATIONS; OBJECT RECOGNITION;

EID: 84919607718     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003963     Document Type: Article
Times cited : (551)

References (69)
  • 1
    • 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
  • 2
    • 0032567744 scopus 로고    scopus 로고
    • Rapid categorization of natural images by rhesus monkeys
    • Fabre-Thorpe M, Richard G, Thorpe SJ, (1998) Rapid categorization of natural images by rhesus monkeys. Neuroreport 9: 303–308.
    • (1998) Neuroreport , vol.9 , pp. 303-308
    • Fabre-Thorpe, M.1    Richard, G.2    Thorpe, S.J.3
  • 5
    • 0345711554 scopus 로고    scopus 로고
    • Idiosyncratic characteristics of saccadic eye movements when viewing different visual environments
    • Andrews TJ, Coppola DM, (1999) Idiosyncratic characteristics of saccadic eye movements when viewing different visual environments. Vision Research 39: 2947–2953.
    • (1999) Vision Research , vol.39 , pp. 2947-2953
    • Andrews, T.J.1    Coppola, D.M.2
  • 6
    • 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
  • 7
    • 0021182724 scopus 로고
    • Stimulus-selective properties of inferior temporal neurons in the macaque
    • Desimone R, Albright TD, Gross CG, Bruce C, (1984) Stimulus-selective properties of inferior temporal neurons in the macaque. Journal of Neuroscience 4: 2051–2062.
    • (1984) Journal of Neuroscience , vol.4 , pp. 2051-2062
    • Desimone, R.1    Albright, T.D.2    Gross, C.G.3    Bruce, C.4
  • 8
    • 0028211584 scopus 로고
    • Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex
    • Kobatake E, Tanaka K, (1994) Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex. Journal of Neurophysiology 71: 856–867.
    • (1994) Journal of Neurophysiology , vol.71 , pp. 856-867
    • Kobatake, E.1    Tanaka, K.2
  • 9
    • 27644475783 scopus 로고    scopus 로고
    • Fast readout of object identity from macaque inferior temporal cortex
    • Hung CP, Kreiman G, Poggio T, DiCarlo JJ, (2005) Fast readout of object identity from macaque inferior temporal cortex. Science 310: 863–866.
    • (2005) Science , vol.310 , pp. 863-866
    • Hung, C.P.1    Kreiman, G.2    Poggio, T.3    DiCarlo, J.J.4
  • 10
    • 77957368767 scopus 로고    scopus 로고
    • Selectivity and tolerance (“invariance”) both increase as visual information propagates from cortical area V4 to IT
    • Rust NC, DiCarlo JJ, (2010) Selectivity and tolerance (“invariance”) both increase as visual information propagates from cortical area V4 to IT. Journal of Neuroscience 30: 12978–12995.
    • (2010) Journal of Neuroscience , vol.30 , pp. 12978-12995
    • Rust, N.C.1    DiCarlo, J.J.2
  • 12
    • 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
  • 13
    • 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
  • 14
    • 0036834483 scopus 로고    scopus 로고
    • Invariant Object Recognition in the Visual System with Novel Views of 3D Objects
    • Stringer SM, Rolls ET, (2002) Invariant Object Recognition in the Visual System with Novel Views of 3D Objects. Neural Computation 14: 2585–2596.
    • (2002) Neural Computation , vol.14 , pp. 2585-2596
    • Stringer, S.M.1    Rolls, E.T.2
  • 16
    • 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 Computational Biology 5: e1000579.
    • (2009) PLoS Computational Biology , vol.5
    • Pinto, N.1    Doukhan, D.2    DiCarlo, J.J.3    Cox, D.D.4
  • 17
    • 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. The Journal of Physiology 160: 106–154.
    • (1962) The Journal of Physiology , vol.160 , pp. 106-154
    • Hubel, D.H.1    Wiesel, T.N.2
  • 18
    • 0014266913 scopus 로고
    • Receptive fields and functional architecture of monkey striate cortex
    • Hubel DH, Wiesel TN, (1968) Receptive fields and functional architecture of monkey striate cortex. The Journal of Physiology 195: 215–243.
    • (1968) The Journal of Physiology , vol.195 , pp. 215-243
    • Hubel, D.H.1    Wiesel, T.N.2
  • 20
    • 0031570069 scopus 로고    scopus 로고
    • SEEMORE: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition
    • Mel BW, (1997) SEEMORE: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition. Neural Computation 9: 777–804.
    • (1997) Neural Computation , vol.9 , pp. 777-804
    • Mel, B.W.1
  • 21
    • 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
  • 22
    • 34948886211 scopus 로고    scopus 로고
    • A quantitative theory of immediate visual recognition. In: Progress in Brain Research, Elsevier
    • Serre T, Kreiman G, Kouh M, Cadieu C, Knoblich U, et al. (2007) A quantitative theory of immediate visual recognition. In: Progress in Brain Research, Elsevier. pp.33–56.
    • (2007)
    • Serre, T.1    Kreiman, G.2    Kouh, M.3    Cadieu, C.4    Knoblich, U.5
  • 23
    • 84867135575 scopus 로고    scopus 로고
    • Building high-level features using large scale unsupervised learning. In: ICML 2012: 29th International Conference on Machine Learning
    • Le QV, Monga R, Devin M, Chen K, Corrado GS, et al. (2012) Building high-level features using large scale unsupervised learning. In: ICML 2012: 29th International Conference on Machine Learning. pp.1–11.
    • (2012)
    • Le, Q.V.1    Monga, R.2    Devin, M.3    Chen, K.4    Corrado, G.S.5
  • 24
    • 84878919540 scopus 로고    scopus 로고
    • ImageNet classification with deep convolutional neural networks
    • Krizhevsky A, Sutskever I, Hinton G (2012) ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems 25. pp.1106–1114.
    • (2012) , vol.25 , pp. 1106-1114
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 25
    • 84906341064 scopus 로고    scopus 로고
    • Visualizing and Understanding Convolutional Networks
    • Zeiler MD, Fergus R (2013) Visualizing and Understanding Convolutional Networks. ArXiv.org, arXiv: 1311.2901[cs.CV]
    • (2013) ArXiv.org, arXiv , vol.2901 , Issue.[cs.CV] , pp. 1311
    • Zeiler, M.D.1    Fergus, R.2
  • 26
    • 85083951635 scopus 로고    scopus 로고
    • OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. In: International Conference on Learning Representations
    • Sermanet P, Eigen D, Zhang X, Mathieu M, Fergus R, et al. (2014) OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. In: International Conference on Learning Representations. pp.1–16.
    • (2014)
    • Sermanet, P.1    Eigen, D.2    Zhang, X.3    Mathieu, M.4    Fergus, R.5
  • 28
    • 33750713303 scopus 로고    scopus 로고
    • Accurate Error Bounds for the Eigenvalues of the Kernel Matrix
    • Braun ML, (2006) Accurate Error Bounds for the Eigenvalues of the Kernel Matrix. The Journal of Machine Learning Research 7: 2303–2328.
    • (2006) The Journal of Machine Learning Research , vol.7 , pp. 2303-2328
    • Braun, M.L.1
  • 31
    • 57649196582 scopus 로고    scopus 로고
    • Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
    • Kriegeskorte N, Mur M, Ruff DA, Kiani R, Bodurka J, et al. (2008) Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey. Neuron 60: 1126–1141.
    • (2008) Neuron , vol.60 , pp. 1126-1141
    • Kriegeskorte, N.1    Mur, M.2    Ruff, D.A.3    Kiani, R.4    Bodurka, J.5
  • 32
    • 57649175760 scopus 로고    scopus 로고
    • Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience
    • Kriegeskorte N, Mur M, Bandettini P (2008) Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience. Frontiers in Systems Neuroscience 2.
    • (2008) Frontiers in Systems Neuroscience , pp. 2
    • Kriegeskorte, N.1    Mur, M.2    Bandettini, P.3
  • 33
    • 84862858651 scopus 로고    scopus 로고
    • Categorical, yet graded–single-image activation profiles of human category-selective cortical regions
    • Mur M, Ruff DA, Bodurka J, De Weerd P, Bandettini PA, et al. (2012) Categorical, yet graded–single-image activation profiles of human category-selective cortical regions. The Journal of Neuroscience 32: 8649–8662.
    • (2012) The Journal of Neuroscience , vol.32 , pp. 8649-8662
    • Mur, M.1    Ruff, D.A.2    Bodurka, J.3    De Weerd, P.4    Bandettini, P.A.5
  • 34
    • 84898929708 scopus 로고    scopus 로고
    • Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream
    • Yamins D, Hong H, Cadieu CF, DiCarlo JJ, (2013) Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream. Advances in Neural Information Processing Systems0020: 3093–3101.
    • (2013) Advances in Neural Information Processing , vol.Systems0020 , pp. 3093-3101
    • Yamins, D.1    Hong, H.2    Cadieu, C.F.3    DiCarlo, J.J.4
  • 37
    • 0021711686 scopus 로고
    • Impairments of Visual Object Transforms in Monkeys
    • Weiskrantz L, Saunders RC, (1984) Impairments of Visual Object Transforms in Monkeys. Brain 107: 1033–1072.
    • (1984) Brain , vol.107 , pp. 1033-1072
    • Weiskrantz, L.1    Saunders, R.C.2
  • 38
    • 36548999696 scopus 로고    scopus 로고
    • The role of context in object recognition
    • Oliva A, Torralba A, (2007) The role of context in object recognition. Trends in Cognitive Sciences 11: 520–527.
    • (2007) Trends in Cognitive Sciences , vol.11 , pp. 520-527
    • Oliva, A.1    Torralba, A.2
  • 39
    • 84919685792 scopus 로고    scopus 로고
    • Pinto N, Majaj N, Barhomi Y, Solomon E, DiCarlo JJ (2010) Human versus machine: comparing visual object recognition systems on a level playing field. Cosyne Abstracts 2010, Salt Lake City USA.
    • (2010)
    • Pinto, N.1    Majaj, N.2    Barhomi, Y.3    Solomon, E.4    DiCarlo, J.J.5
  • 40
    • 0037822222 scopus 로고    scopus 로고
    • Asymptotic behaviors of support vector machines with Gaussian kernel
    • Keerthi SS, Lin CJ, (2003) Asymptotic behaviors of support vector machines with Gaussian kernel. Neural Computation 15: 1667–1689.
    • (2003) Neural Computation , vol.15 , pp. 1667-1689
    • Keerthi, S.S.1    Lin, C.J.2
  • 41
    • 51149092609 scopus 로고    scopus 로고
    • Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
    • Mutch J, Lowe DG, (2008) Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields. International Journal of Computer Vision 80: 45–57.
    • (2008) International Journal of Computer Vision , vol.80 , pp. 45-57
    • Mutch, J.1    Lowe, D.G.2
  • 43
    • 85083951943 scopus 로고    scopus 로고
    • The Neural Representation Benchmark and its Evaluation on Brain and Machine. In: International Conference on Learning Representations
    • Cadieu CF, Hong H, Yamins D, Pinto N, Majaj NJ, et al. (2013) The Neural Representation Benchmark and its Evaluation on Brain and Machine. In: International Conference on Learning Representations. pp.1–16.
    • (2013)
    • Cadieu, C.F.1    Hong, H.2    Yamins, D.3    Pinto, N.4    Majaj, N.J.5
  • 44
    • 0020563088 scopus 로고
    • Tolhurst DJ, Movshon JA, Dean AF (1983) The statistical reliability of signals in single neurons in cat and monkey visual cortex. Vision research.
    • (1983)
    • Tolhurst, D.J.1    Movshon, J.A.2
  • 45
    • 0032525177 scopus 로고    scopus 로고
    • The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding
    • Shadlen MN, Newsome WT (1998) The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding. Journal of Neuroscience: 3870–3896.
    • (1998) Journal of Neuroscience , pp. 3870-3896
    • Shadlen, M.N.1    Newsome, W.T.2
  • 47
    • 84919650977 scopus 로고    scopus 로고
    • Bayesian binning for maximising information rate of rapid serial presentation for sensory neurons
    • Endres D, Földiák P, (2007) Bayesian binning for maximising information rate of rapid serial presentation for sensory neurons. BMC Neuroscience 8: P151.
    • (2007) BMC Neuroscience , vol.8 , pp. 151
    • Endres, D.1    Földiák, P.2
  • 48
    • 0029257474 scopus 로고
    • How task-related are the responses of inferior temporal neurons?
    • Vogels R, Sáry G, Orban GA, (1995) How task-related are the responses of inferior temporal neurons? Visual Neuroscience 12: 207–214.
    • (1995) Visual Neuroscience , vol.12 , pp. 207-214
    • Vogels, R.1    Sáry, G.2    Orban, G.A.3
  • 49
    • 33845888787 scopus 로고    scopus 로고
    • Effects of task demands on the responses of color-selective neurons in the inferior temporal cortex
    • Koida K, Komatsu H, (2006) Effects of task demands on the responses of color-selective neurons in the inferior temporal cortex. Nature Neuroscience 10: 108–116.
    • (2006) Nature Neuroscience , vol.10 , pp. 108-116
    • Koida, K.1    Komatsu, H.2
  • 50
    • 33749832266 scopus 로고    scopus 로고
    • Neuronal Responses to Object Images in the Macaque Inferotemporal Cortex at Different Stimulus Discrimination Levels
    • Suzuki W, Matsumoto K, Tanaka K, (2006) Neuronal Responses to Object Images in the Macaque Inferotemporal Cortex at Different Stimulus Discrimination Levels. Journal of Neuroscience 26: 10524–10535.
    • (2006) Journal of Neuroscience , vol.26 , pp. 10524-10535
    • Suzuki, W.1    Matsumoto, K.2    Tanaka, K.3
  • 51
    • 77952876061 scopus 로고    scopus 로고
    • Informativeness and learning: Response to Gauthier and colleagues
    • Op de Beeck HP, Baker CI, (2010) Informativeness and learning: Response to Gauthier and colleagues. Trends in Cognitive Sciences 14: 236–237.
    • (2010) Trends in Cognitive Sciences , vol.14 , pp. 236-237
    • Op de Beeck, H.P.1    Baker, C.I.2
  • 52
    • 0031867554 scopus 로고    scopus 로고
    • Effects of shape-discrimination training on the selectivity of inferotemporal cells in adult monkeys
    • Kobatake E, Wang G, Tanaka K, (1998) Effects of shape-discrimination training on the selectivity of inferotemporal cells in adult monkeys. Journal of Neurophysiology 80: 324–330.
    • (1998) Journal of Neurophysiology , vol.80 , pp. 324-330
    • Kobatake, E.1    Wang, G.2    Tanaka, K.3
  • 53
    • 0036829944 scopus 로고    scopus 로고
    • Impact of learning on representation of parts and wholes in monkey inferotemporal cortex
    • Baker CI, Behrmann M, Olson CR, (2002) Impact of learning on representation of parts and wholes in monkey inferotemporal cortex. Nature Neuroscience 5: 1210–1216.
    • (2002) Nature Neuroscience , vol.5 , pp. 1210-1216
    • Baker, C.I.1    Behrmann, M.2    Olson, C.R.3
  • 54
    • 0037122807 scopus 로고    scopus 로고
    • Visual categorization shapes feature selectivity in the primate temporal cortex
    • Sigala N, Logothetis NK, (2002) Visual categorization shapes feature selectivity in the primate temporal cortex. Nature 415: 318–320.
    • (2002) Nature , vol.415 , pp. 318-320
    • Sigala, N.1    Logothetis, N.K.2
  • 55
    • 77957009642 scopus 로고    scopus 로고
    • Unsupervised Natural Visual Experience Rapidly Reshapes Size-Invariant Object Representation in Inferior Temporal Cortex
    • Li N, DiCarlo JJ, (2010) Unsupervised Natural Visual Experience Rapidly Reshapes Size-Invariant Object Representation in Inferior Temporal Cortex. Neuron 67: 1062–1075.
    • (2010) Neuron , vol.67 , pp. 1062-1075
    • Li, N.1    DiCarlo, J.J.2
  • 56
    • 84870666419 scopus 로고    scopus 로고
    • Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons
    • Stevenson IH, London BM, Oby ER, Sachs NA, (2012) Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons. PLoS Computational Biology 8: e1002775.
    • (2012) PLoS Computational Biology , vol.8
    • Stevenson, I.H.1    London, B.M.2    Oby, E.R.3    Sachs, N.A.4
  • 58
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumelhart DE, Hinton GE, Williams RJ, (1986) Learning representations by back-propagating errors. Nature 323: 533–536.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 60
    • 84919685790 scopus 로고    scopus 로고
    • Majaj N, Hong H, Solomon E, DiCarlo JJ (2012) A unified neuronal population code fully explains human object recognition. Cosyne Abstracts 2012, Salt Lake City USA.
    • (2012) , vol.2012
    • Majaj, N.1    Hong, H.2    Solomon, E.3
  • 63
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by Passing Messages Between Data Points
    • Frey BJ, Dueck D, (2007) Clustering by Passing Messages Between Data Points. Science 315: 972–976.
    • (2007) Science , vol.315 , pp. 972-976
    • Frey, B.J.1    Dueck, D.2
  • 64
    • 3042526258 scopus 로고    scopus 로고
    • Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering
    • Quiroga RQ, Nadasdy Z, Ben-Shaul Y, (2004) Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering. Neural Computation 16: 1661–1687.
    • (2004) Neural Computation , vol.16 , pp. 1661-1687
    • Quiroga, R.Q.1    Nadasdy, Z.2    Ben-Shaul, Y.3
  • 66
    • 25444448065 scopus 로고    scopus 로고
    • Gaussian Processes for Machine Learning
    • Rasmussen CE, Williams CKI (2006) Gaussian Processes for Machine Learning. MIT Press.
    • (2006)
    • Rasmussen, C.E.1    Williams, C.K.I.2
  • 67
    • 0032098361 scopus 로고    scopus 로고
    • The connection between regularization operators and support vector kernels
    • Smola AJ, Schölkopf B, Müller KR, (1998) The connection between regularization operators and support vector kernels. Neural Networks 11: 637–649.
    • (1998) Neural Networks , vol.11 , pp. 637-649
    • Smola, A.J.1    Schölkopf, B.2    Müller, K.R.3
  • 69
    • 33748355794 scopus 로고    scopus 로고
    • Complete functional characterization of sensory neurons by system identification
    • Wu MC, David SV, Gallant JL, (2006) Complete functional characterization of sensory neurons by system identification. Annual review of neuroscience 29: 477.
    • (2006) Annual review of neuroscience , vol.29 , pp. 477
    • Wu, M.C.1    David, S.V.2    Gallant, J.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.