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Volumn 14, Issue 3, 2010, Pages 119-130

Statistically optimal perception and learning: from behavior to neural representations

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN PERCEPTION; INTERNAL MODELS; NEURAL REPRESENTATIONS; PROBABILISTIC COMPUTATION; SAMPLING-BASED; SENSORY INPUT; SPONTANEOUS ACTIVITY; STATISTICAL INFERENCE;

EID: 76749113376     PISSN: 13646613     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tics.2010.01.003     Document Type: Review
Times cited : (521)

References (101)
  • 1
    • 0002014402 scopus 로고
    • Possible principles underlying the transformations of sensory messages
    • Rosenblith W. (Ed), MIT Press
    • Barlow H.B. Possible principles underlying the transformations of sensory messages. In: Rosenblith W. (Ed). Sensory Communication (1961), MIT Press 217-234
    • (1961) Sensory Communication , pp. 217-234
    • Barlow, H.B.1
  • 2
    • 0037192922 scopus 로고    scopus 로고
    • Bayesian natural selection and the evolution of perceptual systems
    • Geisler W.S., and Diehl R.L. Bayesian natural selection and the evolution of perceptual systems. Philos. Trans. R. Soc. Lond. B Biol. Sci. 357 (2002) 419-448
    • (2002) Philos. Trans. R. Soc. Lond. B Biol. Sci. , vol.357 , pp. 419-448
    • Geisler, W.S.1    Diehl, R.L.2
  • 3
    • 69949083744 scopus 로고    scopus 로고
    • The study of animal metacognition
    • Smith J.D. The study of animal metacognition. Trends Cogn. Sci. 13 (2009) 389-396
    • (2009) Trends Cogn. Sci. , vol.13 , pp. 389-396
    • Smith, J.D.1
  • 4
    • 0041355614 scopus 로고    scopus 로고
    • Inference and computation with population codes
    • Pouget A., et al. Inference and computation with population codes. Annu. Rev. Neurosci. 26 (2004) 381-410
    • (2004) Annu. Rev. Neurosci. , vol.26 , pp. 381-410
    • Pouget, A.1
  • 7
    • 0002282678 scopus 로고
    • Probability, frequency and reasonable expectation
    • Cox R.T. Probability, frequency and reasonable expectation. Am. J. Phys. 14 (1946) 1-13
    • (1946) Am. J. Phys. , vol.14 , pp. 1-13
    • Cox, R.T.1
  • 9
    • 0035154805 scopus 로고    scopus 로고
    • Experience-dependent visual cue integration based on consistencies between visual and haptic percepts
    • Atkins J.E., et al. Experience-dependent visual cue integration based on consistencies between visual and haptic percepts. Vision Res. 41 (2001) 449-461
    • (2001) Vision Res. , vol.41 , pp. 449-461
    • Atkins, J.E.1
  • 10
    • 0037165165 scopus 로고    scopus 로고
    • Humans integrate visual and haptic information in a statistically optimal fashion
    • Ernst M.O., and Banks M.S. Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415 (2002) 429-433
    • (2002) Nature , vol.415 , pp. 429-433
    • Ernst, M.O.1    Banks, M.S.2
  • 11
    • 1642553405 scopus 로고    scopus 로고
    • Bayesian integration in sensorimotor learning
    • Kording K.P., and Wolpert D.M. Bayesian integration in sensorimotor learning. Nature 427 (2004) 244-247
    • (2004) Nature , vol.427 , pp. 244-247
    • Kording, K.P.1    Wolpert, D.M.2
  • 12
    • 85047699564 scopus 로고    scopus 로고
    • Motion illusions as optimal percepts
    • Weiss Y., et al. Motion illusions as optimal percepts. Nat. Neurosci. 5 (2002) 598-604
    • (2002) Nat. Neurosci. , vol.5 , pp. 598-604
    • Weiss, Y.1
  • 13
    • 47249101022 scopus 로고    scopus 로고
    • Decision making, movement planning and statistical decision theory
    • Trommershäuser J., et al. Decision making, movement planning and statistical decision theory. Trends Cogn. Sci. 12 (2008) 291-297
    • (2008) Trends Cogn. Sci. , vol.12 , pp. 291-297
    • Trommershäuser, J.1
  • 14
    • 35548929021 scopus 로고    scopus 로고
    • Decision theory: What "should" the nervous system do?
    • Kording K. Decision theory: What "should" the nervous system do?. Science 318 (2007) 606-610
    • (2007) Science , vol.318 , pp. 606-610
    • Kording, K.1
  • 15
    • 0032519055 scopus 로고    scopus 로고
    • Probabilistic interpretation of population codes
    • Zemel R., et al. Probabilistic interpretation of population codes. Neural Comput. 10 (1998) 403-430
    • (1998) Neural Comput. , vol.10 , pp. 403-430
    • Zemel, R.1
  • 16
    • 33750437292 scopus 로고    scopus 로고
    • Bayesian inference with probabilistic population codes
    • Ma W.J., et al. Bayesian inference with probabilistic population codes. Nat. Neurosci. 9 (2006) 1432-1438
    • (2006) Nat. Neurosci. , vol.9 , pp. 1432-1438
    • Ma, W.J.1
  • 17
    • 57649192772 scopus 로고    scopus 로고
    • Probabilistic population codes for Bayesian decision making
    • Beck J.M., et al. Probabilistic population codes for Bayesian decision making. Neuron 60 (2008) 1142-1152
    • (2008) Neuron , vol.60 , pp. 1142-1152
    • Beck, J.M.1
  • 18
    • 0001940458 scopus 로고
    • Adaptive mixtures of local experts
    • Jacobs R.A., et al. Adaptive mixtures of local experts. Neural Comput. 3 (1991) 79-87
    • (1991) Neural Comput. , vol.3 , pp. 79-87
    • Jacobs, R.A.1
  • 19
    • 0035281850 scopus 로고    scopus 로고
    • Edge co-occurrence in natural images predicts contour grouping performance
    • Geisler W.S., et al. Edge co-occurrence in natural images predicts contour grouping performance. Vision Res. 41 (2001) 711-724
    • (2001) Vision Res. , vol.41 , pp. 711-724
    • Geisler, W.S.1
  • 20
    • 33747688922 scopus 로고    scopus 로고
    • Optimal predictions in everyday cognition
    • Griffiths T.L., and Tenenbaum J.B. Optimal predictions in everyday cognition. Psychol. Sci. 17 (2006) 767-773
    • (2006) Psychol. Sci. , vol.17 , pp. 767-773
    • Griffiths, T.L.1    Tenenbaum, J.B.2
  • 21
    • 33746263998 scopus 로고    scopus 로고
    • Probabilistic models of cognition: conceptual foundations
    • Chater N., et al. Probabilistic models of cognition: conceptual foundations. Trends Cogn. Sci. 10 (2006) 287-291
    • (2006) Trends Cogn. Sci. , vol.10 , pp. 287-291
    • Chater, N.1
  • 22
    • 84898993037 scopus 로고    scopus 로고
    • Model uncertainty in classical conditioning
    • Thrun S., et al. (Ed), MIT Press
    • Courville A.C., et al. Model uncertainty in classical conditioning. In: Thrun S., et al. (Ed). Advances in Neural Information Processing Systems 16 (2004), MIT Press 977-984
    • (2004) Advances in Neural Information Processing Systems 16 , pp. 977-984
    • Courville, A.C.1
  • 23
    • 33144471676 scopus 로고    scopus 로고
    • Causal reasoning in rats
    • Blaisdell A.P., et al. Causal reasoning in rats. Science 311 (2006) 1020-1022
    • (2006) Science , vol.311 , pp. 1020-1022
    • Blaisdell, A.P.1
  • 24
    • 0742271426 scopus 로고    scopus 로고
    • A theory of causal learning in children: causal maps and Bayes nets
    • Gopnik A., et al. A theory of causal learning in children: causal maps and Bayes nets. Psychol. Rev. 111 (2004) 3-32
    • (2004) Psychol. Rev. , vol.111 , pp. 3-32
    • Gopnik, A.1
  • 26
    • 40649090888 scopus 로고    scopus 로고
    • Bayesian learning of visual chunks by human observers
    • Orbán G., et al. Bayesian learning of visual chunks by human observers. Proc. Natl. Acad. Sci. U. S. A. 105 (2008) 2745-2750
    • (2008) Proc. Natl. Acad. Sci. U. S. A. , vol.105 , pp. 2745-2750
    • Orbán, G.1
  • 27
  • 28
    • 67649659837 scopus 로고    scopus 로고
    • Perceptual learning and adult cortical plasticity
    • Gilbert C.D., et al. Perceptual learning and adult cortical plasticity. J. Physiol. Lond. 587 (2009) 2743-2751
    • (2009) J. Physiol. Lond. , vol.587 , pp. 2743-2751
    • Gilbert, C.D.1
  • 29
    • 37749055358 scopus 로고    scopus 로고
    • Bayesian spiking neurons II: learning
    • Deneve S. Bayesian spiking neurons II: learning. Neural Comput. 20 (2008) 118-145
    • (2008) Neural Comput. , vol.20 , pp. 118-145
    • Deneve, S.1
  • 30
    • 42049101553 scopus 로고    scopus 로고
    • Uncertainty, phase and oscillatory hippocampal recall
    • Scholkopf B., et al. (Ed), MIT Press
    • Lengyel M., and Dayan P. Uncertainty, phase and oscillatory hippocampal recall. In: Scholkopf B., et al. (Ed). Advances in Neural Information Processing Systems 19 (2007), MIT Press 833-840
    • (2007) Advances in Neural Information Processing Systems 19 , pp. 833-840
    • Lengyel, M.1    Dayan, P.2
  • 32
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • Hinton G.E., et al. The wake-sleep algorithm for unsupervised neural networks. Science 268 (1995) 1158-1161
    • (1995) Science , vol.268 , pp. 1158-1161
    • Hinton, G.E.1
  • 35
    • 35348818718 scopus 로고    scopus 로고
    • Learning multiple layers of representation
    • Hinton G.E. Learning multiple layers of representation. Trends Cogn. Sci. 11 (2007) 428-434
    • (2007) Trends Cogn. Sci. , vol.11 , pp. 428-434
    • Hinton, G.E.1
  • 36
    • 0033110418 scopus 로고    scopus 로고
    • Recurrent sampling models for the Helmholtz machine
    • Dayan P. Recurrent sampling models for the Helmholtz machine. Neural Comput. 11 (1999) 653-677
    • (1999) Neural Comput. , vol.11 , pp. 653-677
    • Dayan, P.1
  • 37
    • 0030297038 scopus 로고    scopus 로고
    • Varieties of Helmholtz machine
    • Dayan P., and Hinton G.E. Varieties of Helmholtz machine. Neural Netw. 9 (1996) 1385-1403
    • (1996) Neural Netw. , vol.9 , pp. 1385-1403
    • Dayan, P.1    Hinton, G.E.2
  • 38
    • 0031590130 scopus 로고    scopus 로고
    • Generative models for discovering sparse distributed representations
    • Hinton G.E., and Ghahramani Z. Generative models for discovering sparse distributed representations. Philos. Trans. R. Soc. Lond. B Biol. Sci. 352 (1997) 1177-1190
    • (1997) Philos. Trans. R. Soc. Lond. B Biol. Sci. , vol.352 , pp. 1177-1190
    • Hinton, G.E.1    Ghahramani, Z.2
  • 39
    • 46749096794 scopus 로고    scopus 로고
    • Maximal causes for non-linear component extraction
    • Lucke J., and Sahani M. Maximal causes for non-linear component extraction. J. Mach. Learn. Res. 9 (2008) 1227-1267
    • (2008) J. Mach. Learn. Res. , vol.9 , pp. 1227-1267
    • Lucke, J.1    Sahani, M.2
  • 40
    • 0030832881 scopus 로고    scopus 로고
    • The "independent components" of natural scenes are edge filters
    • Bell A.J., and Sejnowski T.J. The "independent components" of natural scenes are edge filters. Vision Res. 37 (1997) 3327-3338
    • (1997) Vision Res. , vol.37 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 41
    • 27244444336 scopus 로고    scopus 로고
    • Slow feature analysis yields a rich repertoire of complex cell properties
    • Berkes P., and Wiskott L. Slow feature analysis yields a rich repertoire of complex cell properties. J. Vis. 5 (2005) 579-602
    • (2005) J. Vis. , vol.5 , pp. 579-602
    • Berkes, P.1    Wiskott, L.2
  • 42
    • 58149234993 scopus 로고    scopus 로고
    • Emergence of complex cell properties by learning to generalize in natural scenes
    • Karklin Y., and Lewicki M.S. Emergence of complex cell properties by learning to generalize in natural scenes. Nature 457 (2009) 83-85
    • (2009) Nature , vol.457 , pp. 83-85
    • Karklin, Y.1    Lewicki, M.S.2
  • 43
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen B.A., and Field D.J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381 (1996) 607-609
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 44
    • 0033360288 scopus 로고    scopus 로고
    • Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
    • Rao R.P.N., and Ballard D.H. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. Nat. Neurosci. 2 (1999) 79-87
    • (1999) Nat. Neurosci. , vol.2 , pp. 79-87
    • Rao, R.P.N.1    Ballard, D.H.2
  • 45
    • 0033556862 scopus 로고    scopus 로고
    • A unifying review of linear Gaussian models
    • Roweis S., and Ghahramani Z. A unifying review of linear Gaussian models. Neural Comput. 11 (1999) 305-345
    • (1999) Neural Comput. , vol.11 , pp. 305-345
    • Roweis, S.1    Ghahramani, Z.2
  • 46
    • 34247248843 scopus 로고    scopus 로고
    • A maximum-likelihood interpretation for slow feature analysis
    • Turner R., and Sahani M. A maximum-likelihood interpretation for slow feature analysis. Neural Comput. 19 (2007) 1022-1038
    • (2007) Neural Comput. , vol.19 , pp. 1022-1038
    • Turner, R.1    Sahani, M.2
  • 47
    • 0034939633 scopus 로고    scopus 로고
    • Natural signal statistics and sensory gain control
    • Schwartz O., and Simoncelli E.P. Natural signal statistics and sensory gain control. Nat. Neurosci. 4 (2001) 819-825
    • (2001) Nat. Neurosci. , vol.4 , pp. 819-825
    • Schwartz, O.1    Simoncelli, E.P.2
  • 48
    • 20844431921 scopus 로고    scopus 로고
    • How close are we to understanding V1?
    • Olshausen B.A., and Field D.J. How close are we to understanding V1?. Neural Comput. 17 (2005) 1665-1699
    • (2005) Neural Comput. , vol.17 , pp. 1665-1699
    • Olshausen, B.A.1    Field, D.J.2
  • 49
    • 67650072603 scopus 로고    scopus 로고
    • Role of layer 6 of V2 visual cortex in object-recognition memory
    • Lopez-Aranda M.F., et al. Role of layer 6 of V2 visual cortex in object-recognition memory. Science 325 (2009) 87-89
    • (2009) Science , vol.325 , pp. 87-89
    • Lopez-Aranda, M.F.1
  • 50
    • 34347347169 scopus 로고    scopus 로고
    • Probabilistic reasoning by neurons
    • Yang T., and Shadlen M.N. Probabilistic reasoning by neurons. Nature 447 (2007) 1075-1080
    • (2007) Nature , vol.447 , pp. 1075-1080
    • Yang, T.1    Shadlen, M.N.2
  • 52
    • 52049084777 scopus 로고    scopus 로고
    • Spiking networks for Bayesian inference and choice
    • Ma W.J., et al. Spiking networks for Bayesian inference and choice. Curr. Opin. Neurobiol. 18 (2008) 217-222
    • (2008) Curr. Opin. Neurobiol. , vol.18 , pp. 217-222
    • Ma, W.J.1
  • 53
    • 76749148793 scopus 로고    scopus 로고
    • Berkes, P. et al. (2009) Matching spontaneous and evoked activity in V1: a hallmark of probabilistic inference. In Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience DOI:10.3389/conf.neuro.06.2009.03.314
    • Berkes, P. et al. (2009) Matching spontaneous and evoked activity in V1: a hallmark of probabilistic inference. In Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience DOI:10.3389/conf.neuro.06.2009.03.314
  • 54
    • 84898960665 scopus 로고    scopus 로고
    • Interpreting neural response variability as Monte Carlo sampling of the posterior
    • Becker, S. et al, eds, pp, MIT Press
    • Hoyer, P.O. and Hyvarinen, A. (2003) Interpreting neural response variability as Monte Carlo sampling of the posterior. In Advances in Neural Information Processing Systems 15 (Becker, S. et al., eds), pp. 277-284, MIT Press
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 277-284
    • Hoyer, P.O.1    Hyvarinen, A.2
  • 55
    • 0042565834 scopus 로고    scopus 로고
    • Hierarchical Bayesian inference in the visual cortex
    • Lee T.S., and Mumford D. Hierarchical Bayesian inference in the visual cortex. J. Opt. Soc. Am. (A) 20 (2003) 1434-1448
    • (2003) J. Opt. Soc. Am. (A) , vol.20 , pp. 1434-1448
    • Lee, T.S.1    Mumford, D.2
  • 56
    • 0028290996 scopus 로고
    • Correlated neuronal discharge rate and its implications for psychophysical performance
    • Zohary E., et al. Correlated neuronal discharge rate and its implications for psychophysical performance. Nature 370 (1994) 140-143
    • (1994) Nature , vol.370 , pp. 140-143
    • Zohary, E.1
  • 57
    • 0030050001 scopus 로고    scopus 로고
    • Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry
    • Leopold D.A., and Logothetis N.K. Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry. Nature 379 (1996) 549-553
    • (1996) Nature , vol.379 , pp. 549-553
    • Leopold, D.A.1    Logothetis, N.K.2
  • 58
    • 44349136909 scopus 로고    scopus 로고
    • Perceptual multistability predicted by search model for Bayesian decisions
    • Sundareswara R., and Schrater P.R. Perceptual multistability predicted by search model for Bayesian decisions. J. Vis. 8 (2008) 12.1-12.19
    • (2008) J. Vis. , vol.8
    • Sundareswara, R.1    Schrater, P.R.2
  • 60
    • 84858769769 scopus 로고    scopus 로고
    • Modeling the effects of memory on human online sentence processing with particle filters
    • Koller P., et al. (Ed), MIT Press
    • Levy R.P., Reali F., and Griffiths T.L. Modeling the effects of memory on human online sentence processing with particle filters. In: Koller P., et al. (Ed). Advances in Neural Information Processing Systems 21 (2009), MIT Press 937-944
    • (2009) Advances in Neural Information Processing Systems 21 , pp. 937-944
    • Levy, R.P.1    Reali, F.2    Griffiths, T.L.3
  • 61
    • 47649133311 scopus 로고    scopus 로고
    • Measuring the crowd within - probabilistic representations within individuals
    • Vul E., and Pashler H. Measuring the crowd within - probabilistic representations within individuals. Psychol. Sci. 19 (2008) 645-647
    • (2008) Psychol. Sci. , vol.19 , pp. 645-647
    • Vul, E.1    Pashler, H.2
  • 62
    • 0028024043 scopus 로고
    • Noise, neural codes and cortical organization
    • Shadlen M.N., and Newsome W.T. Noise, neural codes and cortical organization. Curr. Opin. Neurobiol. 4 (1994) 569-579
    • (1994) Curr. Opin. Neurobiol. , vol.4 , pp. 569-579
    • Shadlen, M.N.1    Newsome, W.T.2
  • 63
    • 0034623811 scopus 로고    scopus 로고
    • The contribution of noise to contrast invariance of orientation tuning in cat visual cortex
    • Anderson J.S., et al. The contribution of noise to contrast invariance of orientation tuning in cat visual cortex. Science 290 (2000) 1968-1972
    • (2000) Science , vol.290 , pp. 1968-1972
    • Anderson, J.S.1
  • 64
    • 4944242862 scopus 로고    scopus 로고
    • Small modulation of ongoing cortical dynamics by sensory input during natural vision
    • Fiser J., et al. Small modulation of ongoing cortical dynamics by sensory input during natural vision. Nature 431 (2004) 573-578
    • (2004) Nature , vol.431 , pp. 573-578
    • Fiser, J.1
  • 65
    • 69449105000 scopus 로고    scopus 로고
    • Spontaneous and driven cortical activity: implications for computation
    • Ringach D. Spontaneous and driven cortical activity: implications for computation. Curr. Opin. Neurobiol. 19 (2009) 439-444
    • (2009) Curr. Opin. Neurobiol. , vol.19 , pp. 439-444
    • Ringach, D.1
  • 66
    • 0242667929 scopus 로고    scopus 로고
    • Spontaneously emerging cortical representations of visual attributes
    • Kenet T., et al. Spontaneously emerging cortical representations of visual attributes. Nature 425 (2003) 954-956
    • (2003) Nature , vol.425 , pp. 954-956
    • Kenet, T.1
  • 67
    • 0033521056 scopus 로고    scopus 로고
    • Linking spontaneous activity of single cortical neurons and the underlying functional architecture
    • Tsodyks M., et al. Linking spontaneous activity of single cortical neurons and the underlying functional architecture. Science 286 (1999) 1943-1946
    • (1999) Science , vol.286 , pp. 1943-1946
    • Tsodyks, M.1
  • 69
    • 0000273048 scopus 로고    scopus 로고
    • Annealed importance sampling
    • Neal R.M. Annealed importance sampling. Stat. Comput. 11 (2001) 125-139
    • (2001) Stat. Comput. , vol.11 , pp. 125-139
    • Neal, R.M.1
  • 70
    • 0029895137 scopus 로고    scopus 로고
    • Speed of processing in the human visual system
    • Thorpe S., et al. Speed of processing in the human visual system. Nature 381 (1996) 520-522
    • (1996) Nature , vol.381 , pp. 520-522
    • Thorpe, S.1
  • 71
    • 34247096930 scopus 로고    scopus 로고
    • A feedforward architecture accounts for rapid categorization
    • Serre T., et al. A feedforward architecture accounts for rapid categorization. Proc. Natl. Acad. Sci. U. S. A. 104 (2007) 6424-6429
    • (2007) Proc. Natl. Acad. Sci. U. S. A. , vol.104 , pp. 6424-6429
    • Serre, T.1
  • 72
    • 0030451408 scopus 로고    scopus 로고
    • Statistical learning by 8-month-old infants
    • Saffran J.R., et al. Statistical learning by 8-month-old infants. Science 274 (1996) 1926-1928
    • (1996) Science , vol.274 , pp. 1926-1928
    • Saffran, J.R.1
  • 73
    • 38349071953 scopus 로고    scopus 로고
    • Simultaneous and independent acquisition of multisensory and unisensory associations
    • Seitz A.R., et al. Simultaneous and independent acquisition of multisensory and unisensory associations. Perception 36 (2007) 1445-1453
    • (2007) Perception , vol.36 , pp. 1445-1453
    • Seitz, A.R.1
  • 74
    • 0037131255 scopus 로고    scopus 로고
    • Signal-driven computations in speech processing
    • Pena M., et al. Signal-driven computations in speech processing. Science 298 (2002) 604-607
    • (2002) Science , vol.298 , pp. 604-607
    • Pena, M.1
  • 75
    • 70349256433 scopus 로고    scopus 로고
    • Neural evidence of statistical learning: efficient detection of visual regularities without awareness
    • Turk-Browne N.B., et al. Neural evidence of statistical learning: efficient detection of visual regularities without awareness. J. Cogn. Neurosci. 21 (2009) 1934-1945
    • (2009) J. Cogn. Neurosci. , vol.21 , pp. 1934-1945
    • Turk-Browne, N.B.1
  • 76
    • 0035516285 scopus 로고    scopus 로고
    • Unsupervised statistical learning of higher-order spatial structures from visual scenes
    • Fiser J., and Aslin R.N. Unsupervised statistical learning of higher-order spatial structures from visual scenes. Psychol. Sci. 12 (2001) 499-504
    • (2001) Psychol. Sci. , vol.12 , pp. 499-504
    • Fiser, J.1    Aslin, R.N.2
  • 77
    • 0037180434 scopus 로고    scopus 로고
    • Statistical learning of new visual feature combinations by infants
    • Fiser J., and Aslin R.N. Statistical learning of new visual feature combinations by infants. Proc. Natl. Acad. Sci. U. S. A. 99 (2002) 15822-15826
    • (2002) Proc. Natl. Acad. Sci. U. S. A. , vol.99 , pp. 15822-15826
    • Fiser, J.1    Aslin, R.N.2
  • 78
    • 0036181555 scopus 로고    scopus 로고
    • Visual statistical learning in infancy: evidence for a domain general learning mechanism
    • Kirkham N.Z., et al. Visual statistical learning in infancy: evidence for a domain general learning mechanism. Cognition 83 (2002) B35-B42
    • (2002) Cognition , vol.83
    • Kirkham, N.Z.1
  • 79
    • 28744444446 scopus 로고    scopus 로고
    • Encoding multielement scenes: statistical learning of visual feature hierarchies
    • Fiser J., and Aslin R.N. Encoding multielement scenes: statistical learning of visual feature hierarchies. J. Exp. Psychol. Gen. 134 (2005) 521-537
    • (2005) J. Exp. Psychol. Gen. , vol.134 , pp. 521-537
    • Fiser, J.1    Aslin, R.N.2
  • 80
    • 34247875892 scopus 로고    scopus 로고
    • Exact inferences in a neural implementation of a hidden Markov model
    • Beck J.M., and Pouget A. Exact inferences in a neural implementation of a hidden Markov model. Neural Comput. 19 (2007) 1344-1361
    • (2007) Neural Comput. , vol.19 , pp. 1344-1361
    • Beck, J.M.1    Pouget, A.2
  • 81
    • 37749042762 scopus 로고    scopus 로고
    • Bayesian spiking neurons I: inference
    • Deneve S. Bayesian spiking neurons I: inference. Neural Comput. 20 (2008) 91-117
    • (2008) Neural Comput. , vol.20 , pp. 91-117
    • Deneve, S.1
  • 82
    • 33847263468 scopus 로고    scopus 로고
    • Fast population coding
    • Huys Q.J.M., et al. Fast population coding. Neural Comput. 19 (2007) 404-441
    • (2007) Neural Comput. , vol.19 , pp. 404-441
    • Huys, Q.J.M.1
  • 83
    • 0013871679 scopus 로고
    • Relations between EEG phenomena and potentials of single cortical cells: II. Spontaneous and convulsoid activity
    • Creutzfeldt O.D., et al. Relations between EEG phenomena and potentials of single cortical cells: II. Spontaneous and convulsoid activity. Electroencephalogr. Clin. Neurophysiol. 20 (1966) 19-37
    • (1966) Electroencephalogr. Clin. Neurophysiol. , vol.20 , pp. 19-37
    • Creutzfeldt, O.D.1
  • 84
    • 0020563088 scopus 로고
    • The statistical reliability of signals in single neurons in cat and monkey visual-cortex
    • Tolhurst D.J., et al. The statistical reliability of signals in single neurons in cat and monkey visual-cortex. Vision Res. 23 (1983) 775-785
    • (1983) Vision Res. , vol.23 , pp. 775-785
    • Tolhurst, D.J.1
  • 85
    • 52449096449 scopus 로고    scopus 로고
    • Propagating waves of activity in the neocortex: what they are, what they do
    • Wu J.Y., et al. Propagating waves of activity in the neocortex: what they are, what they do. Neuroscientist 14 (2008) 487-502
    • (2008) Neuroscientist , vol.14 , pp. 487-502
    • Wu, J.Y.1
  • 86
    • 0029963657 scopus 로고    scopus 로고
    • Synaptic activity and the construction of cortical circuits
    • Katz L.C., and Shatz C.J. Synaptic activity and the construction of cortical circuits. Science 274 (1996) 1133-1138
    • (1996) Science , vol.274 , pp. 1133-1138
    • Katz, L.C.1    Shatz, C.J.2
  • 87
    • 0029038414 scopus 로고
    • Coherent spatiotemporal patterns of ongoing activity revealed by real-time optical imaging coupled with single-unit recording in the cat visual cortex
    • Arieli A., et al. Coherent spatiotemporal patterns of ongoing activity revealed by real-time optical imaging coupled with single-unit recording in the cat visual cortex. J. Neurophysiol. 73 (1995) 2072-2093
    • (1995) J. Neurophysiol. , vol.73 , pp. 2072-2093
    • Arieli, A.1
  • 88
    • 34548014282 scopus 로고    scopus 로고
    • Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
    • Fox M.D., and Raichle M.E. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat. Rev. Neurosci. 8 (2007) 700-711
    • (2007) Nat. Rev. Neurosci. , vol.8 , pp. 700-711
    • Fox, M.D.1    Raichle, M.E.2
  • 89
    • 0034784359 scopus 로고    scopus 로고
    • An energy budget for signaling in the grey matter of the brain
    • Attwell D., and Laughlin S.B. An energy budget for signaling in the grey matter of the brain. J. Cereb. Blood Flow Metab. 21 (2001) 1133-1145
    • (2001) J. Cereb. Blood Flow Metab. , vol.21 , pp. 1133-1145
    • Attwell, D.1    Laughlin, S.B.2
  • 90
    • 2142773944 scopus 로고    scopus 로고
    • Synfire chains and cortical songs: temporal modules of cortical activity
    • Ikegaya Y., et al. Synfire chains and cortical songs: temporal modules of cortical activity. Science 304 (2004) 559-564
    • (2004) Science , vol.304 , pp. 559-564
    • Ikegaya, Y.1
  • 91
    • 33846053551 scopus 로고    scopus 로고
    • Sequential structure of neocortical spontaneous activity in vivo
    • Luczak A., et al. Sequential structure of neocortical spontaneous activity in vivo. Proc. Natl. Acad. Sci. U. S. A. 104 (2007) 347-352
    • (2007) Proc. Natl. Acad. Sci. U. S. A. , vol.104 , pp. 347-352
    • Luczak, A.1
  • 92
    • 53849093435 scopus 로고    scopus 로고
    • Reverberation of recent visual experience in spontaneous cortical waves
    • Han F., et al. Reverberation of recent visual experience in spontaneous cortical waves. Neuron 60 (2008) 321-327
    • (2008) Neuron , vol.60 , pp. 321-327
    • Han, F.1
  • 93
    • 34249786246 scopus 로고    scopus 로고
    • Brain states: top-down influences in sensory processing
    • Gilbert C.D., and Sigman M. Brain states: top-down influences in sensory processing. Neuron 54 (2007) 677-696
    • (2007) Neuron , vol.54 , pp. 677-696
    • Gilbert, C.D.1    Sigman, M.2
  • 94
    • 58149116545 scopus 로고    scopus 로고
    • Stimulus contrast modulates functional connectivity in visual cortex
    • Nauhaus I., et al. Stimulus contrast modulates functional connectivity in visual cortex. Nat. Neurosci. 12 (2009) 70-76
    • (2009) Nat. Neurosci. , vol.12 , pp. 70-76
    • Nauhaus, I.1
  • 95
    • 33746220445 scopus 로고    scopus 로고
    • Vision as Bayesian inference: analysis by synthesis?
    • Yuille A., and Kersten D. Vision as Bayesian inference: analysis by synthesis?. Trends Cogn. Sci. 10 (2006) 301-308
    • (2006) Trends Cogn. Sci. , vol.10 , pp. 301-308
    • Yuille, A.1    Kersten, D.2
  • 96
    • 1842576869 scopus 로고    scopus 로고
    • Merging the senses into a robust percept
    • Ernst M.O., and Bulthoff H.H. Merging the senses into a robust percept. Trends Cogn. Sci. 8 (2004) 162-169
    • (2004) Trends Cogn. Sci. , vol.8 , pp. 162-169
    • Ernst, M.O.1    Bulthoff, H.H.2
  • 97
    • 33746260457 scopus 로고    scopus 로고
    • Bayesian decision theory in sensorimotor control
    • Kording K.P., and Wolpert D.M. Bayesian decision theory in sensorimotor control. Trends Cogn. Sci. 10 (2006) 319-326
    • (2006) Trends Cogn. Sci. , vol.10 , pp. 319-326
    • Kording, K.P.1    Wolpert, D.M.2
  • 98
    • 22144469412 scopus 로고    scopus 로고
    • The human brain is intrinsically organized into dynamic, anticorrelated functional networks
    • Fox M.D., et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U. S. A. 102 (2005) 9673-9678
    • (2005) Proc. Natl. Acad. Sci. U. S. A. , vol.102 , pp. 9673-9678
    • Fox, M.D.1
  • 99
    • 70349705656 scopus 로고    scopus 로고
    • A structured model of video reproduces primary visual cortical organisation
    • Berkes P., et al. A structured model of video reproduces primary visual cortical organisation. PLoS Comput. Biol. 5 (2009) e1000495
    • (2009) PLoS Comput. Biol. , vol.5
    • Berkes, P.1
  • 100
    • 0029822591 scopus 로고    scopus 로고
    • The representation of brightness in primary visual cortex
    • Rossi A.F., et al. The representation of brightness in primary visual cortex. Science 273 (1996) 1104-1107
    • (1996) Science , vol.273 , pp. 1104-1107
    • Rossi, A.F.1
  • 101
    • 0027787849 scopus 로고
    • Perceptual organization and the judgment of brightness
    • Adelson E.H. Perceptual organization and the judgment of brightness. Science 262 (1993) 2042-2044
    • (1993) Science , vol.262 , pp. 2042-2044
    • Adelson, E.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.