메뉴 건너뛰기




Volumn 21, Issue 11, 2009, Pages 3010-3056

Cortical circuitry implementing graphical models

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BRAIN CORTEX; BRAIN MAPPING; COMPUTER GRAPHICS; NERVE TRACT; PHYSIOLOGY; PROBABILITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 77953750826     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.05-08-783     Document Type: Article
Times cited : (44)

References (102)
  • 1
    • 0032609779 scopus 로고    scopus 로고
    • The effect of correlated variability on the accuracy of a population code
    • Abbott, L.F., & Dayan, P. (1999). The effect of correlated variability on the accuracy of a population code. Neural Computation, 11(1), 91-101.
    • (1999) Neural Computation , vol.11 , Issue.1 , pp. 91-101
    • Abbott, L.F.1    Dayan, P.2
  • 2
    • 0033667165 scopus 로고    scopus 로고
    • Synaptic plasticity: Taming the beast
    • Abbott, L.F., & Nelson, S.B. (2000). Synaptic plasticity: Taming the beast. Nature Neuroscience, 3, 1178-1183.
    • (2000) Nature Neuroscience , vol.3 , pp. 1178-1183
    • Abbott, L.F.1    Nelson, S.B.2
  • 3
    • 7244229524 scopus 로고    scopus 로고
    • Synaptic computation
    • Abbott, L.F., & Regehr, W.G. (2004). Synaptic computation. Nature, 431(7010), 796-803.
    • (2004) Nature , vol.431 , Issue.7010 , pp. 796-803
    • Abbott, L.F.1    Regehr, W.G.2
  • 5
    • 0142027737 scopus 로고    scopus 로고
    • Modular organization of directionally tuned cells in the motor cortex: Is there a short-range order?
    • Amirikian, B., & Georgopoulos, A.P. (2003). Modular organization of directionally tuned cells in the motor cortex: Is there a short-range order? Proceedings of the National Academy of Sciences, 100, 12474-12479.
    • (2003) Proceedings of the National Academy of Sciences , vol.100 , pp. 12474-12479
    • Amirikian, B.1    Georgopoulos, A.P.2
  • 6
    • 0037185254 scopus 로고    scopus 로고
    • Connection from cortical area V2 to MT in macaque monkey
    • Anderson, J.C., & Martin, K.A. (2002). Connection from cortical area V2 to MT in macaque monkey. Journal of Comparative Neurology, 443(1), 56-70.
    • (2002) Journal of Comparative Neurology , vol.443 , Issue.1 , pp. 56-70
    • Anderson, J.C.1    Martin, K.A.2
  • 8
    • 34247875892 scopus 로고    scopus 로고
    • Exact inferences in a neural implementation of a hidden Markov model
    • Beck, J.M., & Pouget, A. (2007). Exact inferences in a neural implementation of a hidden Markov model. Neural Computation, 19(5), 1344-1361.
    • (2007) Neural Computation , vol.19 , Issue.5 , pp. 1344-1361
    • Beck, J.M.1    Pouget, A.2
  • 9
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • Besag, J. (1974). Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society, 36(2), 192-326.
    • (1974) Journal of the Royal Statistical Society , vol.36 , Issue.2 , pp. 192-326
    • Besag, J.1
  • 10
    • 4744358521 scopus 로고    scopus 로고
    • A quantitative map of the circuit of cat primary visual cortex
    • Binzegger, T., Douglas, R.J., & Martin, K.A. (2004). A quantitative map of the circuit of cat primary visual cortex. Journal of Neuroscience, 24(39), 8441-8453.
    • (2004) Journal of Neuroscience , vol.24 , Issue.39 , pp. 8441-8453
    • Binzegger, T.1    Douglas, R.J.2    Martin, K.A.3
  • 11
    • 0036234544 scopus 로고    scopus 로고
    • The minicolumn hypothesis in neuroscience
    • Buxhoeveden, D.P., & Casanova, M.F. (2002). The minicolumn hypothesis in neuroscience. Brain, 125(5), 935-951.
    • (2002) Brain , vol.125 , Issue.5 , pp. 935-951
    • Buxhoeveden, D.P.1    Casanova, M.F.2
  • 12
    • 0029084920 scopus 로고
    • Neural computation of log likelihood in control of saccadic eye movements
    • Carpenter, R.H., & Williams, M.L. (1995). Neural computation of log likelihood in control of saccadic eye movements. Nature, 377(6544), 59-62.
    • (1995) Nature , vol.377 , Issue.6544 , pp. 59-62
    • Carpenter, R.H.1    Williams, M.L.2
  • 13
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using Bayesian belief networks
    • Cooper, G.F. (1990). The computational complexity of probabilistic inference using Bayesian belief networks. Artificial Intelligence, 42(2-3), 393-405.
    • (1990) Artificial Intelligence , vol.42 , Issue.2-3 , pp. 393-405
    • Cooper, G.F.1
  • 15
    • 0025121208 scopus 로고
    • A microcolumnar structure of monkey cerebral cortex revealed by immunocytochemical studies of double bouquet cell axons
    • DeFelipe, J., Hendry, S.H., Hashikawa, T., Molinari, M., & Jones, E.G. (1990). A microcolumnar structure of monkey cerebral cortex revealed by immunocytochemical studies of double bouquet cell axons. Neuroscience, 37(3), 655-673.
    • (1990) Neuroscience , vol.37 , Issue.3 , pp. 655-673
    • DeFelipe, J.1    Hendry, S.H.2    Hashikawa, T.3    Molinari, M.4    Jones, E.G.5
  • 16
    • 37749042762 scopus 로고    scopus 로고
    • Bayesian spiking neurons I: Inference
    • Deneve, S. (2008a). Bayesian spiking neurons I: Inference. Neural Computation, 20(1), 91-117.
    • (2008) Neural Computation , vol.20 , Issue.1 , pp. 91-117
    • Deneve, S.1
  • 17
    • 37749055358 scopus 로고    scopus 로고
    • Bayesian spiking neurons II: Learning
    • Deneve, S. (2008b). Bayesian spiking neurons II: Learning. Neural Computation, 20(1), 118-145.
    • (2008) Neural Computation , vol.20 , Issue.1 , pp. 118-145
    • Deneve, S.1
  • 19
    • 70449460291 scopus 로고    scopus 로고
    • Doya, K., Ishii, S., Alexandre, P., Rao, R.P.N. (Eds.). Cambridge, MA: MIT Press
    • Doya, K., Ishii, S., Alexandre, P., Rao, R.P.N. (Eds.). (2007). Bayesian brain. Cambridge, MA: MIT Press.
    • (2007) Bayesian brain
  • 22
    • 0037165165 scopus 로고    scopus 로고
    • Humans integrate visual and haptic information in a statistically optimal fashion
    • Ernst, M.O., & Banks, M.S. (2002). Humans integrate visual and haptic information in a statistically optimal fashion. Nature, 415(6870), 429-433.
    • (2002) Nature , vol.415 , Issue.6870 , pp. 429-433
    • Ernst, M.O.1    Banks, M.S.2
  • 23
    • 0025718412 scopus 로고
    • Distributed hierarchical processing in the primate cerebral cortex
    • Felleman, D.J., & Van Essen, D.C. (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex, 1(1), 1-47.
    • (1991) Cerebral Cortex , vol.1 , Issue.1 , pp. 1-47
    • Felleman, D.J.1    Van Essen, D.C.2
  • 25
    • 0242577959 scopus 로고    scopus 로고
    • Learning and inference in the brain
    • Friston, K. (2003). Learning and inference in the brain. Neural Networks, 16(9), 1325-1352.
    • (2003) Neural Networks , vol.16 , Issue.9 , pp. 1325-1352
    • Friston, K.1
  • 26
    • 0038298487 scopus 로고    scopus 로고
    • The inferior temporal cortex: Architecture, computation, and representation
    • Fujita, I. (2002). The inferior temporal cortex: Architecture, computation, and representation. Journal of Neurocytology, 31(3-5), 359-371.
    • (2002) Journal of Neurocytology , vol.31 , Issue.3-5 , pp. 359-371
    • Fujita, I.1
  • 27
    • 0036712334 scopus 로고    scopus 로고
    • Responses of primate visual cortical V4 neurons to simultaneously presented stimuli
    • Gawne, T.J., & Martin, J.M. (2002). Responses of primate visual cortical V4 neurons to simultaneously presented stimuli. Journal of Neurophysiology, 88(3), 1128-1135.
    • (2002) Journal of Neurophysiology , vol.88 , Issue.3 , pp. 1128-1135
    • Gawne, T.J.1    Martin, J.M.2
  • 29
    • 0035247059 scopus 로고    scopus 로고
    • An introduction to hidden Markov models and Bayesian networks
    • Ghahramani, Z. (2002). An introduction to hidden Markov models and Bayesian networks. IJPRAI, 15(1), 9-42.
    • (2002) IJPRAI , vol.15 , Issue.1 , pp. 9-42
    • Ghahramani, Z.1
  • 30
    • 0029742202 scopus 로고    scopus 로고
    • Chattering cells: Superficial pyramidal neurons contributing to the generation of synchronous oscillations in the visual cortex
    • Gray, C.M., & McCormick, D.A. (1996). Chattering cells: Superficial pyramidal neurons contributing to the generation of synchronous oscillations in the visual cortex. Science, 274(5284), 109-113.
    • (1996) Science , vol.274 , Issue.5284 , pp. 109-113
    • Gray, C.M.1    McCormick, D.A.2
  • 31
    • 0033959161 scopus 로고    scopus 로고
    • Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex
    • Gupta, A., Wang, Y., & Markram, H. (2000). Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. Science, 287(5451), 273-278.
    • (2000) Science , vol.287 , Issue.5451 , pp. 273-278
    • Gupta, A.1    Wang, Y.2    Markram, H.3
  • 32
    • 33751516381 scopus 로고    scopus 로고
    • Spike-timing-dependent plasticity of inhibitory synapses in the entorhinal cortex
    • Haas, J.S., Nowotny, T., & Abarbanel, H.D. (2006). Spike-timing-dependent plasticity of inhibitory synapses in the entorhinal cortex. Journal of Neurophysiology, 96(6), 3305-3313.
    • (2006) Journal of Neurophysiology , vol.96 , Issue.6 , pp. 3305-3313
    • Haas, J.S.1    Nowotny, T.2    Abarbanel, H.D.3
  • 34
    • 1842376871 scopus 로고    scopus 로고
    • Estimating the time course of the excitatory synaptic conductance in neocortical pyramidal cells using a novel voltage jump method
    • Hausser, M., & Roth, A. (1997). Estimating the time course of the excitatory synaptic conductance in neocortical pyramidal cells using a novel voltage jump method. Journal of Neuroscience, 17(20), 7606-7625.
    • (1997) Journal of Neuroscience , vol.17 , Issue.20 , pp. 7606-7625
    • Hausser, M.1    Roth, A.2
  • 35
    • 6344281239 scopus 로고    scopus 로고
    • On the uniqueness of loopy belief propagation fixed points
    • Heskes, T. (2004). On the uniqueness of loopy belief propagation fixed points. Neural Computation, 16(11), 2379-2413.
    • (2004) Neural Computation , vol.16 , Issue.11 , pp. 2379-2413
    • Heskes, T.1
  • 36
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • Hinton, G., Dayan, P., Frey, B., & Radford, N. (1995). The wake-sleep algorithm for unsupervised neural networks. Science, 268, 1158-1160.
    • (1995) Science , vol.268 , pp. 1158-1160
    • Hinton, G.1    Dayan, P.2    Frey, B.3    Radford, N.4
  • 38
    • 0000999440 scopus 로고
    • Learning and relearning in Boltzmann machines
    • D. E. Rumelhart & J. L. McClelland. (Eds.), Foundations, Cambridge, MA: MIT Press 282-317
    • Hinton, G.E., & Sejnowski, T.J. (1986). Learning and relearning in Boltzmann machines. In D.E. Rumelhart & J.L. McClelland (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition, Vol. 1: Foundations (pp. 282-317). Cambridge, MA: MIT Press.
    • (1986) Parallel distributed processing: Explorations in the microstructure of cognition , vol.1
    • Hinton, G.E.1    Sejnowski, T.J.2
  • 39
    • 0035887597 scopus 로고    scopus 로고
    • Coincident spiking activity induces long-term changes in inhibition of neocortical pyramidal cells
    • Holmgren, C.D., & Zilberter, Y. (2001). Coincident spiking activity induces long-term changes in inhibition of neocortical pyramidal cells. Journal of Neuroscience, 21(20), 8270-8277.
    • (2001) Journal of Neuroscience , vol.21 , Issue.20 , pp. 8270-8277
    • Holmgren, C.D.1    Zilberter, Y.2
  • 41
    • 0037443094 scopus 로고    scopus 로고
    • Honeycomb-like mosaic at the border of layers 1 and 2 in the cerebral cortex
    • Ichinohe, N., Fujiyama, F., Kaneko, T., & Rockland, K.S. (2003). Honeycomb-like mosaic at the border of layers 1 and 2 in the cerebral cortex. Journal of Neuroscience, 23(4), 1372-1382.
    • (2003) Journal of Neuroscience , vol.23 , Issue.4 , pp. 1372-1382
    • Ichinohe, N.1    Fujiyama, F.2    Kaneko, T.3    Rockland, K.S.4
  • 42
    • 4644271047 scopus 로고    scopus 로고
    • Region specific micromodularity in the uppermost layers in primate cerebral cortex
    • Ichinohe, N., & Rockland, K.S. (2004). Region specific micromodularity in the uppermost layers in primate cerebral cortex. Cerebral Cortex, 14(11), 1173-1184.
    • (2004) Cerebral Cortex , vol.14 , Issue.11 , pp. 1173-1184
    • Ichinohe, N.1    Rockland, K.S.2
  • 43
    • 33646001111 scopus 로고    scopus 로고
    • Towards an integrated protein-protein interaction network: A relational Markov network approach
    • Jaimovich, A., Elidan, G., Margalit, H., & Friedman, N. (2006). Towards an integrated protein-protein interaction network: A relational Markov network approach. Journal of Computational Biology, 13(2), 145-164.
    • (2006) Journal of Computational Biology , vol.13 , Issue.2 , pp. 145-164
    • Jaimovich, A.1    Elidan, G.2    Margalit, H.3    Friedman, N.4
  • 44
    • 33745758495 scopus 로고    scopus 로고
    • Optimal representation of sensory information by neural populations
    • Jazayeri, M., & Movshon, J.A. (2006). Optimal representation of sensory information by neural populations. Nature Neuroscience, 9(5), 690-696.
    • (2006) Nature Neuroscience , vol.9 , Issue.5 , pp. 690-696
    • Jazayeri, M.1    Movshon, J.A.2
  • 45
    • 0030809644 scopus 로고    scopus 로고
    • A polysynaptic feedback circuit in rat visual cortex
    • Johnson, R.R., & Burkhalter, A. (1997). A polysynaptic feedback circuit in rat visual cortex. Journal of Neuroscience, 17(18), 7129-7140.
    • (1997) Journal of Neuroscience , vol.17 , Issue.18 , pp. 7129-7140
    • Johnson, R.R.1    Burkhalter, A.2
  • 49
    • 33947117920 scopus 로고    scopus 로고
    • Probabilistic inference in graphical models
    • M. Arbib (Ed.), (2nd ed.), Cambridge MA: MIT Press
    • Jordan, M.I., & Weiss, Y. (2002). Probabilistic inference in graphical models. In M. Arbib (Ed.), Handbook of neural networks and brain theory (2nd ed.). Cambridge, MA: MIT Press.
    • (2002) Handbook of neural networks and brain theory
    • Jordan, M.I.1    Weiss, Y.2
  • 50
    • 33845235869 scopus 로고    scopus 로고
    • Cortical feed-forward networks for binding different streams of sensory information
    • Kampa, B.M., Letzkus, J.J., & Stuart, G.J. (2006). Cortical feed-forward networks for binding different streams of sensory information. Nature Neuroscience, 9(12), 1472-1473.
    • (2006) Nature Neuroscience , vol.9 , Issue.12 , pp. 1472-1473
    • Kampa, B.M.1    Letzkus, J.J.2    Stuart, G.J.3
  • 51
    • 0037962002 scopus 로고    scopus 로고
    • One axon-multiple functions: Specificity of lateral inhibitory connections by large basket cells
    • Kisvarday, Z.F., Ferecsko, A.S., Kovacs, K., Buzas, P., Budd, J.M., & Eysel, U.T. (2002). One axon-multiple functions: Specificity of lateral inhibitory connections by large basket cells. Journal of Neurocytology, 31(3-5), 255-264.
    • (2002) Journal of Neurocytology , vol.31 , Issue.3-5 , pp. 255-264
    • Kisvarday, Z.F.1    Ferecsko, A.S.2    Kovacs, K.3    Buzas, P.4    Budd, J.M.5    Eysel, U.T.6
  • 53
    • 0032611278 scopus 로고    scopus 로고
    • Bayesian inference in populations of cortical neurons: A model of motion integration and segmentation in area MT
    • Koechlin, E., Anton, J.L., & Burnod, Y. (1999). Bayesian inference in populations of cortical neurons: A model of motion integration and segmentation in area MT. Biological Cybernetics, 80(1), 25-44.
    • (1999) Biological Cybernetics , vol.80 , Issue.1 , pp. 25-44
    • Koechlin, E.1    Anton, J.L.2    Burnod, Y.3
  • 54
    • 1642553405 scopus 로고    scopus 로고
    • Bayesian integration in sensorimotor learning
    • Kording, K.P., & Wolpert, D.M. (2004). Bayesian integration in sensorimotor learning. Nature, 427(6971), 244-247.
    • (2004) Nature , vol.427 , Issue.6971 , pp. 244-247
    • Kording, K.P.1    Wolpert, D.M.2
  • 56
    • 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(5), 2704-2713.
    • (2004) Journal of Neurophysiology , vol.92 , Issue.5 , pp. 2704-2713
    • Lampl, I.1    Ferster, D.2    Poggio, T.3    Riesenhuber, M.4
  • 57
    • 0042565834 scopus 로고    scopus 로고
    • Hierarchical Bayesian inference in the visual cortex
    • Lee, T., & Mumford, D. (2003). Hierarchical Bayesian inference in the visual cortex. Journal of Optical Society of America, 20(7), 1434-1448.
    • (2003) Journal of Optical Society of America , vol.20 , Issue.7 , pp. 1434-1448
    • Lee, T.1    Mumford, D.2
  • 58
    • 0031055418 scopus 로고    scopus 로고
    • Organization of pyramidal cell apical dendrites and composition of dendritic clusters in the mouse: Emphasis on primary motor cortex
    • Lev, D.L., & White, E.L. (1997). Organization of pyramidal cell apical dendrites and composition of dendritic clusters in the mouse: Emphasis on primary motor cortex. European Journal of Neuroscience, 9(2), 280-290.
    • (1997) European Journal of Neuroscience , vol.9 , Issue.2 , pp. 280-290
    • Lev, D.L.1    White, E.L.2
  • 59
    • 33750437292 scopus 로고    scopus 로고
    • Bayesian inference with probabilistic population codes
    • Ma, W.J., Beck, J.M., Latham, P.E., & Pouget, A. (2006). Bayesian inference with probabilistic population codes. Nature Neuroscience, 9(11), 1432-1438.
    • (2006) Nature Neuroscience , vol.9 , Issue.11 , pp. 1432-1438
    • Ma, W.J.1    Beck, J.M.2    Latham, P.E.3    Pouget, A.4
  • 60
    • 0034218519 scopus 로고    scopus 로고
    • A model for fast analog computation based on unreliable synapses
    • Maass, W., & Natschlager, T. (2000). A model for fast analog computation based on unreliable synapses. Neural Comput., 12(7), 1679-1704.
    • (2000) Neural Comput. , vol.12 , Issue.7 , pp. 1679-1704
    • Maass, W.1    Natschlager, T.2
  • 64
    • 0000546354 scopus 로고
    • Sigma-pi learning: On radial basis functions and cortical associative learning
    • D. Touretzky (Ed.), San Francisco: Morgan Kaufmann
    • Mel, B.W., & Koch, C. (1990). Sigma-pi learning: On radial basis functions and cortical associative learning. In D. Touretzky (Ed.), Advances in Neural information processing systems, 2 (pp. 474-481). San Francisco: Morgan Kaufmann.
    • (1990) Advances in Neural information processing systems , vol.2 , pp. 474-481
    • Mel, B.W.1    Koch, C.2
  • 65
    • 33745933877 scopus 로고    scopus 로고
    • Globally optimal solutions for energy minimization in stereo vision using reweighted Belief Propagation
    • Piscataway, NJ: IEEE Press
    • Meltzer, T., Yanover, C., & Weiss, Y. (2005). Globally optimal solutions for energy minimization in stereo vision using reweighted Belief Propagation. In Proceedings of the IEEE International Conference on Computer Vision (pp. 428-435). Piscataway, NJ: IEEE Press.
    • (2005) Proceedings of the IEEE International Conference on Computer Vision , pp. 428-435
    • Meltzer, T.1    Yanover, C.2    Weiss, Y.3
  • 66
    • 0037208910 scopus 로고    scopus 로고
    • Introduction: Computation in cortical columns
    • Mountcastle, V.B. (2003). Introduction: Computation in cortical columns. Cerebral Cortex, 13(1), 2-4.
    • (2003) Cerebral Cortex , vol.13 , Issue.1 , pp. 2-4
    • Mountcastle, V.B.1
  • 68
    • 28644443983 scopus 로고    scopus 로고
    • Computer models and analysis tools for neural microcircuits
    • R. Kötter (Ed.), Norwell, MA: Kluwer
    • Natschläger, T., Markram, H., & Maass, W. (2003). Computer models and analysis tools for neural microcircuits. In R. Kötter (Ed.), Neuroscience databases: A practical guide (pp. 123-138). Norwell, MA: Kluwer.
    • (2003) Neuroscience databases: A practical guide , pp. 123-138
    • Natschläger, T.1    Markram, H.2    Maass, W.3
  • 69
    • 14144249743 scopus 로고    scopus 로고
    • Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex
    • Ohki, K., Chung, S., Ch'ng, Y. H., Kara, P., & Reid, R.C. (2005). Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex. Nature, 433(7026), 597-603.
    • (2005) Nature , vol.433 , Issue.7026 , pp. 597-603
    • Ohki, K.1    Chung, S.2    Ch'ng, Y.H.3    Kara, P.4    Reid, R.C.5
  • 70
    • 77953761625 scopus 로고    scopus 로고
    • The neurodynamics of belief propagation on binary Markov random fields
    • Cambridge, MA: MIT Press
    • Ott, T., & Stoop, R. (2006). The neurodynamics of belief propagation on binary Markov random fields. In B. Schölkopf, J. Platt, & T. Hoffman (Eds.), Advances in neural information processing systems, 18 (pp. 1057-1064). Cambridge, MA: MIT Press.
    • (2006) Advances in neural information processing systems , vol.18 , pp. 1057-1064
    • Ott, T.1    Stoop, R.2
  • 71
    • 0023440173 scopus 로고
    • Distributed revision of composite beliefs
    • Pearl, J. (1987). Distributed revision of composite beliefs. Artificial Intelligence, 33(2), 173-215.
    • (1987) Artificial Intelligence , vol.33 , Issue.2 , pp. 173-215
    • Pearl, J.1
  • 73
    • 0031404532 scopus 로고    scopus 로고
    • The organization of double bouquet cells in monkey striate cortex
    • Peters, A., & Sethares, C. (1997). The organization of double bouquet cells in monkey striate cortex. Journal of Neurocytology, 26(12), 779-797.
    • (1997) Journal of Neurocytology , vol.26 , Issue.12 , pp. 779-797
    • Peters, A.1    Sethares, C.2
  • 75
    • 0347527070 scopus 로고    scopus 로고
    • Bayesian computation in recurrent neural circuits
    • Rao, R.P. (2004a). Bayesian computation in recurrent neural circuits. Neural Computation, 16(1), 1-38.
    • (2004) Neural Computation , vol.16 , Issue.1 , pp. 1-38
    • Rao, R.P.1
  • 76
    • 0347527070 scopus 로고    scopus 로고
    • Bayesian computation in recurrent neural circuits
    • Rao, R.P.N. (2004b). Bayesian computation in recurrent neural circuits. Neural Computation, 16(1), 1-38.
    • (2004) Neural Computation , vol.16 , Issue.1 , pp. 1-38
    • Rao, R.P.N.1
  • 77
    • 27544474179 scopus 로고    scopus 로고
    • Bayesian inference and attentional modulation in the visual cortex
    • Rao, R.P. (2005a). Bayesian inference and attentional modulation in the visual cortex. Neuroreport, 16(16), 1843-1848.
    • (2005) Neuroreport , vol.16 , Issue.16 , pp. 1843-1848
    • Rao, R.P.1
  • 78
    • 84899012554 scopus 로고    scopus 로고
    • Hierarchical Bayesian inference in networks of spiking neurons
    • L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Cambridge, MA: MIT Press
    • Rao, R.P.N. (2005b). Hierarchical Bayesian inference in networks of spiking neurons. In L.K. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in neural information processing systems, 17 (pp. 1113-1120). Cambridge, MA: MIT Press.
    • (2005) Advances in neural information processing systems , vol.17 , pp. 1113-1120
    • Rao, R.P.N.1
  • 79
    • 0033360288 scopus 로고    scopus 로고
    • Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects
    • Rao, R.P., & Ballard, D.H. (1999). Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience, 2(1), 79-87.
    • (1999) Nature Neuroscience , vol.2 , Issue.1 , pp. 79-87
    • Rao, R.P.1    Ballard, D.H.2
  • 81
    • 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(11), 1019-1025.
    • (1999) Nature Neuroscience , vol.2 , Issue.11 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2
  • 82
    • 0000716703 scopus 로고    scopus 로고
    • Elements of cortical architecture: hierarchy revisited
    • K. S. Rockland, J.H. Kaas, & A. Peters (Eds.), New York: Plenum Press
    • Rockland, K.S. (1997). Elements of cortical architecture: hierarchy revisited. In K.S. Rockland, J.H. Kaas, & A. Peters (Eds.), Cerebral cortex: Extrastriate cortex in primates (pp. 243-293). New York: Plenum Press.
    • (1997) Cerebral cortex: Extrastriate cortex in primates , pp. 243-293
    • Rockland, K.S.1
  • 83
    • 4644359298 scopus 로고    scopus 로고
    • Some thoughts on cortical minicolumns
    • Rockland, K.S., & Ichinohe, N. (2004). Some thoughts on cortical minicolumns. Exp. Brain. Res., 158(3), 265-277.
    • (2004) Exp. Brain. Res. , vol.158 , Issue.3 , pp. 265-277
    • Rockland, K.S.1    Ichinohe, N.2
  • 84
    • 0042362095 scopus 로고    scopus 로고
    • Doubly distributional population codes: Simultaneous representation of uncertainty and multiplicity
    • Sahani, M., & Dayan, P. (2003). Doubly distributional population codes: Simultaneous representation of uncertainty and multiplicity. Neural Computation, 15(10), 2255-2279.
    • (2003) Neural Computation , vol.15 , Issue.10 , pp. 2255-2279
    • Sahani, M.1    Dayan, P.2
  • 86
    • 68949161906 scopus 로고    scopus 로고
    • Estimating internal variables and parameters of a learning agent by a particle filter
    • S. Thrün, L. Saul, & B. Scholkopf (Eds.), Cambridge, MA.: MIT Press
    • Samejima, K., Doya, K., Ueda, K., & Kimura, M. (2004). Estimating internal variables and parameters of a learning agent by a particle filter. In S. Thrün, L. Saul, & B. Scholkopf (Eds.), Advances in neural information processing systems, 16 (pp. 1335-1342). Cambridge, MA.: MIT Press.
    • (2004) Advances in neural information processing systems , vol.16 , pp. 1335-1342
    • Samejima, K.1    Doya, K.2    Ueda, K.3    Kimura, M.4
  • 88
    • 18044383304 scopus 로고    scopus 로고
    • Highly nonrandom features of synaptic connectivity in local cortical circuits
    • Song, S., Sjostrom, P.J., Reigl, M., Nelson, S., & Chklovskii, D.B. (2005). Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biology, 3(3), e68.
    • (2005) PLoS Biology , vol.3 , Issue.3
    • Song, S.1    Sjostrom, P.J.2    Reigl, M.3    Nelson, S.4    Chklovskii, D.B.5
  • 89
    • 33645341176 scopus 로고    scopus 로고
    • Noise characteristics and prior expectations in human visual speed perception
    • Stocker, A.A., & Simoncelli, E.P. (2006). Noise characteristics and prior expectations in human visual speed perception. Nature Neuroscience, 9(4), 578-585.
    • (2006) Nature Neuroscience , vol.9 , Issue.4 , pp. 578-585
    • Stocker, A.A.1    Simoncelli, E.P.2
  • 90
    • 0028854016 scopus 로고
    • Sequence seeking and counter streams: A computational model for bidirectional information flow in the visual cortex
    • Ullman, S. (1995). Sequence seeking and counter streams: A computational model for bidirectional information flow in the visual cortex. Cerebral Cortex, 5(1), 1-11.
    • (1995) Cerebral Cortex , vol.5 , Issue.1 , pp. 1-11
    • Ullman, S.1
  • 94
    • 0015260274 scopus 로고
    • Excitatory and inhibitory interactions in localized populations of model neurons
    • Wilson, H.R., & Cowan, J.D. (1972). Excitatory and inhibitory interactions in localized populations of model neurons. Biophysical Journal, 12(1), 1-24.
    • (1972) Biophysical Journal , vol.12 , Issue.1 , pp. 1-24
    • Wilson, H.R.1    Cowan, J.D.2
  • 95
    • 34347347169 scopus 로고    scopus 로고
    • Probabilistic reasoning by neurons
    • Yang, T., & Shadlen, M.N. (2007). Probabilistic reasoning by neurons. Nature, 447(7148), 1075-1080.
    • (2007) Nature , vol.447 , Issue.7148 , pp. 1075-1080
    • Yang, T.1    Shadlen, M.N.2
  • 96
    • 0141695638 scopus 로고    scopus 로고
    • Understanding belief propagation and its generalizations
    • G. Lakemeyer & B. Nebel (Eds.), San Francisco: Morgan Kaufmann
    • Yedidia, J., Freeman, W., & Weiss, Y. (2003). Understanding belief propagation and its generalizations. In G. Lakemeyer & B. Nebel (Eds.), Exploring artificial intelligence in the new millennium (pp. 239-269). San Francisco: Morgan Kaufmann.
    • (2003) Exploring artificial intelligence in the new millennium , pp. 239-269
    • Yedidia, J.1    Freeman, W.2    Weiss, Y.3
  • 97
    • 27644510620 scopus 로고    scopus 로고
    • Fine-scale specificity of cortical networks depends on inhibitory cell type and connectivity
    • Yoshimura, Y., & Callaway, E.M. (2005). Fine-scale specificity of cortical networks depends on inhibitory cell type and connectivity. Nature Neuroscience, 8(11), 1552-1559.
    • (2005) Nature Neuroscience , vol.8 , Issue.11 , pp. 1552-1559
    • Yoshimura, Y.1    Callaway, E.M.2
  • 98
    • 14544308338 scopus 로고    scopus 로고
    • Excitatory cortical neurons form fine-scale functional networks
    • Yoshimura, Y., Dantzker, J.L., & Callaway, E.M. (2005). Excitatory cortical neurons form fine-scale functional networks. Nature, 433(7028), 868-873.
    • (2005) Nature , vol.433 , Issue.7028 , pp. 868-873
    • Yoshimura, Y.1    Dantzker, J.L.2    Callaway, E.M.3
  • 99
    • 0036886971 scopus 로고    scopus 로고
    • Biophysiologically plausible implementations of the maximum operation
    • Yu, A.J., Giese, M.A., & Poggio, T.A. (2002). Biophysiologically plausible implementations of the maximum operation. Neural Computation, 14(12), 2857-2881.
    • (2002) Neural Computation , vol.14 , Issue.12 , pp. 2857-2881
    • Yu, A.J.1    Giese, M.A.2    Poggio, T.A.3
  • 100
    • 0036636878 scopus 로고    scopus 로고
    • CCCP algorithms to minimize the Bethe and Kikuchi free energies: Convergent alternatives to belief propagation
    • Yuille, A.L. (2002). CCCP algorithms to minimize the Bethe and Kikuchi free energies: Convergent alternatives to belief propagation. Neural Computation, 14(7), 1691-1722.
    • (2002) Neural Computation , vol.14 , Issue.7 , pp. 1691-1722
    • Yuille, A.L.1
  • 101
    • 0032519055 scopus 로고    scopus 로고
    • Probabilistic interpretation of population codes
    • Zemel, R.S., Dayan, P., & Pouget, A. (1998). Probabilistic interpretation of population codes. Neural Computation, 10(2), 403-430.
    • (1998) Neural Computation , vol.10 , Issue.2 , pp. 403-430
    • Zemel, R.S.1    Dayan, P.2    Pouget, A.3
  • 102
    • 0031930592 scopus 로고    scopus 로고
    • Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells
    • Zhang, K., Ginzburg, I., McNaughton, B.L., & Sejnowski, T.J. (1998). Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. Journal of Neurophysiology, 79(2), 1017-1044.
    • (1998) Journal of Neurophysiology , vol.79 , Issue.2 , pp. 1017-1044
    • Zhang, K.1    Ginzburg, I.2    McNaughton, B.L.3    Sejnowski, T.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.