메뉴 건너뛰기




Volumn 37, Issue , 2014, Pages 205-220

Neural coding of uncertainty and probability

Author keywords

Bayesian inference; Decision making; Perception; Population encoding

Indexed keywords

ANTICIPATION; BAYES THEOREM; BEHAVIOR; BRAIN FUNCTION; COGNITION; DECISION MAKING; HUMAN; NONHUMAN; PERCEPTION; PLANNING; PRIORITY JOURNAL; PROBABILITY; PSYCHOLOGICAL THEORY; REVIEW; REWARD; THINKING; UNCERTAINTY; ANIMAL; BIOLOGICAL MODEL; BRAIN; NERVE CELL; PHYSIOLOGY;

EID: 84904619218     PISSN: 0147006X     EISSN: 15454126     Source Type: Book Series    
DOI: 10.1146/annurev-neuro-071013-014017     Document Type: Review
Times cited : (214)

References (125)
  • 1
    • 84903384868 scopus 로고    scopus 로고
    • Onthe origins of suboptimality in human probabilistic inference
    • In press
    • Acerbi L, Vijayakumar S, WolpertDM. 2014.Onthe origins of suboptimality in human probabilistic inference. PLOS Comp. Biol. In press
    • (2014) PLOS Comp. Biol.
    • Acerbi, L.1    Vijayakumar, S.2    Wolpert, D.M.3
  • 2
    • 84870711124 scopus 로고    scopus 로고
    • Internal representations of temporal statistics and feedback calibrate motor-sensory interval timing
    • Acerbi L, Wolpert DM, Vijayakumar S. 2012. Internal representations of temporal statistics and feedback calibrate motor-sensory interval timing. PLoS Comput. Biol. 8(11):e1002771
    • (2012) PLoS Comput. Biol. , vol.8 , Issue.11
    • Acerbi, L.1    Wolpert, D.M.2    Vijayakumar, S.3
  • 3
    • 79651475817 scopus 로고    scopus 로고
    • Observers exploit stochastic models of sensory change to help judge the passage of time
    • Ahrens M, Sahani M. 2011. Observers exploit stochastic models of sensory change to help judge the passage of time. Curr. Biol. 21:1-7
    • (2011) Curr. Biol. , vol.21 , pp. 1-7
    • Ahrens, M.1    Sahani, M.2
  • 4
    • 0034182895 scopus 로고    scopus 로고
    • Using Bayes rule to modelmultisensory enhancement in the superior colliculus
    • Anastasio TJ, Patton PE, Belkacem-Boussaid K. 2000. Using Bayes rule to modelmultisensory enhancement in the superior colliculus. Neural Comput. 12(5):1165-87
    • (2000) Neural Comput. , vol.12 , Issue.5 , pp. 1165-1187
    • Anastasio, T.J.1    Patton, P.E.2    Belkacem-Boussaid, K.3
  • 5
    • 0006300302 scopus 로고
    • Neurobiological computational systems
    • New York: IEEE Press
    • Anderson C. 1994. Neurobiological computational systems. In Computational Intelligence Imitating Life, pp. 213-22. New York: IEEE Press
    • (1994) Computational Intelligence Imitating Life , pp. 213-222
    • Anderson, C.1
  • 6
    • 0042326369 scopus 로고    scopus 로고
    • Neural representation of probabilistic information
    • Barber MJ,Clark JW, Anderson CH. 2003. Neural representation of probabilistic information. Neural Comput. 15(8):1843-64
    • (2003) Neural Comput. , vol.15 , Issue.8 , pp. 1843-1864
    • Barber, M.J.1    Clark, J.W.2    Anderson, C.H.3
  • 7
    • 0014442521 scopus 로고
    • Three factors limiting the reliable detection of light by retinal ganglion cells of the cat
    • Barlow HB, Levick WR. 1969. Three factors limiting the reliable detection of light by retinal ganglion cells of the cat. J. Physiol. 200:1-24
    • (1969) J. Physiol. , vol.200 , pp. 1-24
    • Barlow, H.B.1    Levick, W.R.2
  • 8
    • 1842612383 scopus 로고    scopus 로고
    • Prefrontal cortex and decision making in a mixed-strategy game
    • Barraclough DJ, Conroy ML, et al. 2004. Prefrontal cortex and decision making in a mixed-strategy game. Nat. Neurosci. 7:404-10
    • (2004) Nat. Neurosci. , vol.7 , pp. 404-410
    • Barraclough, D.J.1    Conroy, M.L.2
  • 9
    • 70349659708 scopus 로고    scopus 로고
    • Evaluation of objective uncertainty in the visual system
    • Barthelme S, Mamassian P. 2009. Evaluation of objective uncertainty in the visual system. PLoS Comput. Biol. 5(9):e1000504
    • (2009) PLoS Comput. Biol. , vol.5 , Issue.9
    • Barthelme, S.1    Mamassian, P.2
  • 10
    • 0030931985 scopus 로고    scopus 로고
    • Modulation of neuronal activity by target uncertainty
    • Basso MA,Wurtz RH. 1997. Modulation of neuronal activity by target uncertainty. Nature 389:66-69
    • (1997) Nature , vol.389 , pp. 66-69
    • Basso, M.A.1    Wurtz, R.H.2
  • 12
    • 34347324113 scopus 로고    scopus 로고
    • Humans trade off viewing time and movement duration to improve visuomotor accuracy in a fast reaching task
    • Battaglia PW, Schrater PR. 2007. Humans trade off viewing time and movement duration to improve visuomotor accuracy in a fast reaching task. J. Neurosci. 27(26):6984-94
    • (2007) J. Neurosci. , vol.27 , Issue.26 , pp. 6984-6994
    • Battaglia, P.W.1    Schrater, P.R.2
  • 13
    • 57649192772 scopus 로고    scopus 로고
    • Bayesian decision making with probabilistic population codes
    • Beck J, Ma WJ, Kiani R, Hanks T, Churchland AK, et al. 2008. Bayesian decision making with probabilistic population codes. Neuron 60(6):1142-52
    • (2008) Neuron , vol.60 , Issue.6 , pp. 1142-1152
    • Beck, J.1    Ma, W.J.2    Kiani, R.3    Hanks, T.4    Churchland, A.K.5
  • 14
    • 80054948790 scopus 로고    scopus 로고
    • Marginalization in neural circuits with divisive normalization
    • Beck JM, Latham PE, Pouget A. 2011. Marginalization in neural circuits with divisive normalization. J. Neurosci. 31(43):15310-19
    • (2011) J. Neurosci. , vol.31 , Issue.43 , pp. 15310-15319
    • Beck, J.M.1    Latham, P.E.2    Pouget, A.3
  • 15
    • 84859638124 scopus 로고    scopus 로고
    • Not noisy, just wrong: The role of suboptimal inference in behavioral variability
    • Beck JM, Ma WJ, Pitkow X, Latham PE, Pouget A. 2012. Not noisy, just wrong: the role of suboptimal inference in behavioral variability. Neuron 74(1):30-39
    • (2012) Neuron , vol.74 , Issue.1 , pp. 30-39
    • Beck, J.M.1    Ma, W.J.2    Pitkow, X.3    Latham, P.E.4    Pouget, A.5
  • 17
    • 79957551359 scopus 로고    scopus 로고
    • Cue integration in categorical tasks: Insights from audio-visual speech perception
    • Bejjanki VR, Clayards M, Knill DC, Aslin RN. 2011. Cue integration in categorical tasks: insights from audio-visual speech perception. PLoS ONE 6(5):e19812
    • (2011) PLoS ONE , vol.6 , Issue.5
    • Bejjanki, V.R.1    Clayards, M.2    Knill, D.C.3    Aslin, R.N.4
  • 19
    • 78650972934 scopus 로고    scopus 로고
    • Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment
    • Berkes P, Orban G, Lengyel M, Fiser J. 2011. Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment. Science 331(6013):83-87
    • (2011) Science , vol.331 , Issue.6013 , pp. 83-87
    • Berkes, P.1    Orban, G.2    Lengyel, M.3    Fiser, J.4
  • 21
    • 0027692046 scopus 로고
    • Responses of neurons in macaque MT to stochastic motion signals
    • Britten KH, Shadlen MN, Newsome WT, Movshon JA. 1993. Responses of neurons in macaque MT to stochastic motion signals. Vis. Neurosci. 10(6):1157-69
    • (1993) Vis. Neurosci. , vol.10 , Issue.6 , pp. 1157-1169
    • Britten, K.H.1    Shadlen, M.N.2    Newsome, W.T.3    Movshon, J.A.4
  • 22
    • 84894377637 scopus 로고    scopus 로고
    • Mechanisms underlying the influence of saliency on valuebased decisions
    • Chen X, Mihalas S, Niebur E, Stuphorn V. 2013. Mechanisms underlying the influence of saliency on valuebased decisions. J. Vis. 13(12):18
    • (2013) J. Vis. , vol.13 , Issue.12 , pp. 18
    • Chen, X.1    Mihalas, S.2    Niebur, E.3    Stuphorn, V.4
  • 23
    • 44349161769 scopus 로고    scopus 로고
    • Decision-making with multiple alternatives
    • Churchland AK, Kiani R, Shadlen MN. 2008. Decision-making with multiple alternatives. Nat. Neurosci. 11(6):693-702
    • (2008) Nat. Neurosci. , vol.11 , Issue.6 , pp. 693-702
    • Churchland, A.K.1    Kiani, R.2    Shadlen, M.N.3
  • 25
    • 84893593099 scopus 로고    scopus 로고
    • Humans make efficient use of natural image statistics when performing spatial interpolation
    • DAntona AD, Perry JS, Geisler WS. 2013. Humans make efficient use of natural image statistics when performing spatial interpolation. J. Vis. 13(14):11
    • (2013) J. Vis. , vol.13 , Issue.14 , pp. 11
    • Dantona, A.D.1    Perry, J.S.2    Geisler, W.S.3
  • 27
    • 0019856238 scopus 로고
    • The variability of discharge of simple cells in the cat striate cortex
    • Dean AF. 1981. The variability of discharge of simple cells in the cat striate cortex. Exp. Brain Res. 44:437-40
    • (1981) Exp. Brain Res. , vol.44 , pp. 437-440
    • Dean, A.F.1
  • 28
    • 37749042762 scopus 로고    scopus 로고
    • Bayesian spiking neurons I: Inference
    • Deneve S. 2008. Bayesian spiking neurons I: inference. Neural Comput. 20(1):91-117
    • (2008) Neural Comput. , vol.20 , Issue.1 , pp. 91-117
    • Deneve, S.1
  • 29
    • 84856743552 scopus 로고    scopus 로고
    • Howdoes the brain solve visual object recognition?
    • DiCarlo JJ, Zoccolan D, Rust NC. 2012.Howdoes the brain solve visual object recognition? Neuron 73(3):415-34
    • (2012) Neuron , vol.73 , Issue.3 , pp. 415-434
    • Dicarlo, J.J.1    Zoccolan, D.2    Rust, N.C.3
  • 30
    • 5144223501 scopus 로고    scopus 로고
    • Activity in posterior parietal cortex is correlated with the relative subjective desirability of action
    • DorrisMC, Glimcher PW. 2004. Activity in posterior parietal cortex is correlated with the relative subjective desirability of action. Neuron 44(2):365-78
    • (2004) Neuron , vol.44 , Issue.2 , pp. 365-378
    • Dorris, M.C.1    Glimcher, P.W.2
  • 32
    • 65949087652 scopus 로고    scopus 로고
    • Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task
    • Faisal AA, Wolpert DM. 2009. Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task. J. Neurophysiol. 101(4):1901-12
    • (2009) J. Neurophysiol. , vol.101 , Issue.4 , pp. 1901-1912
    • Faisal, A.A.1    Wolpert, D.M.2
  • 33
    • 61449237372 scopus 로고    scopus 로고
    • Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?
    • Feng S, Holmes P, Rorie A, Newsome WT. 2009. Can monkeys choose optimally when faced with noisy stimuli and unequal rewards? PLoS Comput. Biol. 5(2):e1000284
    • (2009) PLoS Comput. Biol. , vol.5 , Issue.2
    • Feng, S.1    Holmes, P.2    Rorie, A.3    Newsome, W.T.4
  • 34
    • 84655167229 scopus 로고    scopus 로고
    • Neural correlates of reliability-based cue weighting during multisensory integration
    • Fetsch CR, Pouget A,DeAngelis GC, AngelakiDE. 2012. Neural correlates of reliability-based cue weighting during multisensory integration. Nat. Neurosci. 15:146-54
    • (2012) Nat. Neurosci. , vol.15 , pp. 146-154
    • Fetsch, C.R.1    Pouget, A.2    De Angelis, G.C.3    Angelaki, D.E.4
  • 35
    • 71849088010 scopus 로고    scopus 로고
    • Dynamic reweighting of visual and vestibular cues during self-motion perception
    • Fetsch CR, Turner AH, DeAngelis GC, Angelaki DE. 2009. Dynamic reweighting of visual and vestibular cues during self-motion perception. J. Neurosci. 29(49):15601-12
    • (2009) J. Neurosci. , vol.29 , Issue.49 , pp. 15601-15612
    • Fetsch, C.R.1    Turner, A.H.2    Deangelis, G.C.3    Angelaki, D.E.4
  • 36
    • 0037459319 scopus 로고    scopus 로고
    • Discrete coding of reward probability and uncertainty by dopamine neurons
    • Fiorillo CD,Tobler PN, Schultz W. 2003. Discrete coding of reward probability and uncertainty by dopamine neurons. Science 299(5614):1898-902
    • (2003) Science , vol.299 , Issue.5614 , pp. 1898-1902
    • Fiorillo, C.D.1    Tobler, P.N.2    Schultz, W.3
  • 37
    • 79960785849 scopus 로고    scopus 로고
    • Owls behavior and neural representation predicted by Bayesian inference
    • Fischer BJ, Pena JL. 2011. Owls behavior and neural representation predicted by Bayesian inference. Nat. Neurosci. 14(8):1061-66
    • (2011) Nat. Neurosci. , vol.14 , Issue.8 , pp. 1061-1066
    • Fischer, B.J.1    Pena, J.L.2
  • 38
    • 76749113376 scopus 로고    scopus 로고
    • Statistically optimal perception and learning: From behavior to neural representations
    • Fiser J, Berkes P, Orban G, Lengyel M. 2010. Statistically optimal perception and learning: from behavior to neural representations. Trends Cogn. Sci. 14(3):119-30
    • (2010) Trends Cogn. Sci. , vol.14 , Issue.3 , pp. 119-130
    • Fiser, J.1    Berkes, P.2    Orban, G.3    Lengyel, M.4
  • 39
    • 84859541932 scopus 로고    scopus 로고
    • The neural basis of metacognitive ability
    • Fleming SM, Dolan RJ. 2012. The neural basis of metacognitive ability. Phil. Trans. R. Soc. B 367(1594):1338-49
    • (2012) Phil. Trans. R. Soc. B , vol.367 , Issue.1594 , pp. 1338-1349
    • Fleming, S.M.1    Dolan, R.J.2
  • 40
    • 84889038820 scopus 로고    scopus 로고
    • The irrationality of categorical perception
    • Fleming SM, Maloney LT, Daw ND. 2013. The irrationality of categorical perception. J. Neurosci. 33(49):19060-70
    • (2013) J. Neurosci. , vol.33 , Issue.49 , pp. 19060-19070
    • Fleming, S.M.1    Maloney, L.T.2    Daw, N.D.3
  • 41
    • 0002657234 scopus 로고
    • The ideal homunculus: Statistical inference from neural population responses
    • ed. F Eeckman, J Bower Norwell, MA: Kluwer Acad.
    • Foldiak P. 1993. The ideal homunculus: statistical inference from neural population responses. In Computation and Neural Systems, ed. F Eeckman, J Bower, pp. 55-60. Norwell, MA: Kluwer Acad.
    • (1993) Computation and Neural Systems , pp. 55-60
    • Foldiak, P.1
  • 42
    • 85058085336 scopus 로고    scopus 로고
    • Implicit encoding of prior probabilities in optimal neural populations
    • ed. J Shawe-Taylor, RS Zemel, P Bartlett, F Pereira, KW Weinberger Cambridge, MA: MIT Press
    • Ganguli D, Simoncelli EP. 2011. Implicit encoding of prior probabilities in optimal neural populations. In Advances in Neural Information Processing Systems, ed. J Shawe-Taylor, RS Zemel, P Bartlett, F Pereira, KW Weinberger, pp. 658-66. Cambridge, MA: MIT Press
    • (2011) Advances in Neural Information Processing Systems , pp. 658-666
    • Ganguli, D.1    Simoncelli, E.P.2
  • 44
    • 0037057609 scopus 로고    scopus 로고
    • Attentional modulation in visual cortex depends on task timing
    • Ghose GM, Maunsell JH. 2002. Attentional modulation in visual cortex depends on task timing. Nature 419(6907):616-20
    • (2002) Nature , vol.419 , Issue.6907 , pp. 616-620
    • Ghose, G.M.1    Maunsell, J.H.2
  • 45
    • 79959683947 scopus 로고    scopus 로고
    • Cardinal rules: Visual orientation perception reflects knowledge of environmental statistics
    • Girshick AR, Landy MS, Simoncelli EP. 2011. Cardinal rules: visual orientation perception reflects knowledge of environmental statistics. Nat. Neurosci. 14:926-32
    • (2011) Nat. Neurosci. , vol.14 , pp. 926-932
    • Girshick, A.R.1    Landy, M.S.2    Simoncelli, E.P.3
  • 47
  • 48
    • 79251595755 scopus 로고    scopus 로고
    • Decoding the activity of neuronal populations in macaque primary visual cortex
    • Graf AB, Kohn A, Jazayeri M, Movshon JA. 2011. Decoding the activity of neuronal populations in macaque primary visual cortex. Nat. Neurosci. 14(2):239-45
    • (2011) Nat. Neurosci. , vol.14 , Issue.2 , pp. 239-245
    • Graf, A.B.1    Kohn, A.2    Jazayeri, M.3    Movshon, J.A.4
  • 50
    • 84864381195 scopus 로고    scopus 로고
    • Bridging levels of analysis for probabilisticmodels of cognition
    • Griffiths TL, Vul E, Sanborn AN. 2012. Bridging levels of analysis for probabilisticmodels of cognition. Curr. Dir. Psychol. Sci. 21(4):263-68
    • (2012) Curr. Dir. Psychol. Sci. , vol.21 , Issue.4 , pp. 263-268
    • Griffiths, T.L.1    Vul, E.2    Sanborn, A.N.3
  • 51
    • 52949105342 scopus 로고    scopus 로고
    • Neural correlates of multisensory cue integration in macaque MSTd
    • Gu Y, Angelaki DE, DeAngelis GC. 2008. Neural correlates of multisensory cue integration in macaque MSTd. Nat. Neurosci. 11(10):1201-10
    • (2008) Nat. Neurosci. , vol.11 , Issue.10 , pp. 1201-1210
    • Gu, Y.1    De, A.2    Deangelis, G.C.3
  • 52
    • 70450189310 scopus 로고    scopus 로고
    • Improvements of sound localization abilities by the facial ruff of the barn owl (Tyto alba) as demonstrated by virtual ruff removal
    • Hausmann L, von Campenhausen M, Endler F, Singheiser M, Wagner H. 2009. Improvements of sound localization abilities by the facial ruff of the barn owl (Tyto alba) as demonstrated by virtual ruff removal. PLoS ONE 4:e7721
    • (2009) PLoS ONE , vol.4
    • Hausmann, L.1    Von Campenhausen, M.2    Endler, F.3    Singheiser, M.4    Wagner, H.5
  • 54
    • 2242435339 scopus 로고    scopus 로고
    • Combining sensory information: Mandatory fusion within, but not between, senses
    • Hillis JM, Ernst MO, Banks MS, Landy MS. 2002. Combining sensory information: mandatory fusion within, but not between, senses. Science 298(5598):1627-30
    • (2002) Science , vol.298 , Issue.5598 , pp. 1627-1630
    • Hillis, J.M.1    Ernst, M.O.2    Banks, M.S.3    Landy, M.S.4
  • 55
    • 58449102723 scopus 로고    scopus 로고
    • Multisensory oddity detection as Bayesian inference
    • Hospedales T, Vijayakumar S. 2009. Multisensory oddity detection as Bayesian inference. PLoS ONE 4(1):e4205
    • (2009) PLoS ONE , vol.4 , Issue.1
    • Hospedales, T.1    Vijayakumar, S.2
  • 57
    • 36248951103 scopus 로고    scopus 로고
    • Movement planning with probabilistic target information
    • Hudson TE, Maloney LT, Landy MS. 2007. Movement planning with probabilistic target information. J. Neurophysiol. 98(5):3034-46
    • (2007) J. Neurophysiol. , vol.98 , Issue.5 , pp. 3034-3046
    • Hudson, T.E.1    Maloney, L.T.2    Landy, M.S.3
  • 58
    • 13244291585 scopus 로고    scopus 로고
    • A representation of the hazard rate of elapsed time in macaque area LIP
    • Janssen P, Shadlen MN. 2005. A representation of the hazard rate of elapsed time in macaque area LIP. Nat. Neurosci. 8(2):234-41
    • (2005) Nat. Neurosci. , vol.8 , Issue.2 , pp. 234-241
    • Janssen, P.1    Shadlen, M.N.2
  • 59
    • 55549124504 scopus 로고    scopus 로고
    • Probabilistic sensory recoding
    • Jazayeri M. 2008. Probabilistic sensory recoding. Curr. Opin. Neurobiol. 18(4):431-37
    • (2008) Curr. Opin. Neurobiol. , vol.18 , Issue.4 , pp. 431-437
    • Jazayeri, M.1
  • 60
    • 33745758495 scopus 로고    scopus 로고
    • Optimal representation of sensory information by neural populations
    • Jazayeri M, Movshon JA. 2006. Optimal representation of sensory information by neural populations. Nat. Neurosci. 9(5):690-96
    • (2006) Nat. Neurosci. , vol.9 , Issue.5 , pp. 690-696
    • Jazayeri, M.1    Movshon, J.A.2
  • 61
    • 77955026569 scopus 로고    scopus 로고
    • Temporal context calibrates interval timing
    • Jazayeri M, Shadlen MN. 2010. Temporal context calibrates interval timing. Nat. Neurosci. 13(8):1020-26
    • (2010) Nat. Neurosci. , vol.13 , Issue.8 , pp. 1020-1026
    • Jazayeri, M.1    Shadlen, M.N.2
  • 62
    • 0000125532 scopus 로고
    • Prospect theory: An analysis of decision under risk
    • Kahneman D, Tversky A. 1979. Prospect theory: an analysis of decision under risk. Econometrica 47:263-91
    • (1979) Econometrica , vol.47 , pp. 263-291
    • Kahneman, D.1    Tversky, A.2
  • 63
  • 64
    • 51649116802 scopus 로고    scopus 로고
    • Neural correlates, computation and behavioural impact of decision confidence
    • Kepecs A, Uchida N, Zariwala HA,Mainen ZF. 2008. Neural correlates, computation and behavioural impact of decision confidence. Nature 455:227-33
    • (2008) Nature , vol.455 , pp. 227-233
    • Kepecs, A.1    Uchida, N.2    Zariwala, H.A.3    Mainen, Z.F.4
  • 66
    • 84863103046 scopus 로고    scopus 로고
    • Probabilistic computation in human perception under variability in encoding precision
    • Keshvari S, Van den Berg R, MaWJ. 2012. Probabilistic computation in human perception under variability in encoding precision. PLoS ONE 7(6):e40216
    • (2012) PLoS ONE , vol.7 , Issue.6
    • Keshvari, S.1    Van Den Berg, R.2    Ma, W.J.3
  • 67
    • 65649149780 scopus 로고    scopus 로고
    • Representation of confidence associated with a decision by neurons in the parietal cortex
    • Kiani R, Shadlen MN. 2009. Representation of confidence associated with a decision by neurons in the parietal cortex. Science 324:759-64
    • (2009) Science , vol.324 , pp. 759-764
    • Kiani, R.1    Shadlen, M.N.2
  • 68
    • 84878592253 scopus 로고    scopus 로고
    • Responses of pulvinar neurons reflect a subjects confidence in visual categorization
    • Komura Y, Nikkuni A, Hirashima N, Uetake T, Miyamoto A. 2013. Responses of pulvinar neurons reflect a subjects confidence in visual categorization. Nat. Neurosci. 16(6):749-55
    • (2013) Nat. Neurosci. , vol.16 , Issue.6 , pp. 749-755
    • Komura, Y.1    Nikkuni, A.2    Hirashima, N.3    Uetake, T.4    Miyamoto, A.5
  • 70
    • 1642553405 scopus 로고    scopus 로고
    • Bayesian integration in sensorimotor learning
    • Kording KP, Wolpert DM. 2004. Bayesian integration in sensorimotor learning. Nature 427(6971):244-47
    • (2004) Nature , vol.427 , Issue.6971 , pp. 244-247
    • Kording, K.P.1    Wolpert, D.M.2
  • 71
    • 84866252910 scopus 로고    scopus 로고
    • Dynamic estimation of task-relevant variance in movement under risk
    • Landy MS, Trommershauser J, Daw ND. 2012. Dynamic estimation of task-relevant variance in movement under risk. J. Neurosci. 32(37):12702-11
    • (2012) J. Neurosci. , vol.32 , Issue.37 , pp. 12702-12711
    • Landy, M.S.1    Trommershauser, J.2    Daw, N.D.3
  • 72
    • 42949178622 scopus 로고    scopus 로고
    • Value representations in the primate striatum during matching behavior
    • Lau B, Glimcher PW. 2008. Value representations in the primate striatum during matching behavior. Neuron 58(3):451-63
    • (2008) Neuron , vol.58 , Issue.3 , pp. 451-463
    • Lau, B.1    Glimcher, P.W.2
  • 73
    • 41149146041 scopus 로고    scopus 로고
    • Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area
    • LawCT, Gold JI. 2008. Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area. Nat. Neurosci. 11(4):505-13
    • (2008) Nat. Neurosci. , vol.11 , Issue.4 , pp. 505-513
    • Law, C.T.1    Gold, J.I.2
  • 74
    • 84862673896 scopus 로고    scopus 로고
    • Neural basis of reinforcement learning and decision making
    • Lee D, Seo H, Jung MW. 2012. Neural basis of reinforcement learning and decision making. Annu. Rev. Neurosci. 35:287-308
    • (2012) Annu. Rev. Neurosci. , vol.35 , pp. 287-308
    • Lee, D.1    Seo, H.2    Jung, M.W.3
  • 75
    • 0042565834 scopus 로고    scopus 로고
    • Hierarchical Bayesian inference in the visual cortex
    • LeeTS, MumfordD. 2003. Hierarchical Bayesian inference in the visual cortex. J.Opt. Soc. Am. 20(7):1434-48
    • (2003) J.Opt. Soc. Am. , vol.20 , Issue.7 , pp. 1434-1448
    • Lee, T.S.1    Mumford, D.2
  • 76
    • 84866555374 scopus 로고    scopus 로고
    • Organizing probabilistic models of perception
    • Ma WJ. 2012. Organizing probabilistic models of perception. Trends Cogn. Sci. 16(10):511-18
    • (2012) Trends Cogn. Sci. , vol.16 , Issue.10 , pp. 511-518
    • Ma, W.J.1
  • 77
    • 33750437292 scopus 로고    scopus 로고
    • Bayesian inference with probabilistic population codes
    • Ma WJ, Beck JM, Latham PE, Pouget A. 2006. Bayesian inference with probabilistic population codes. Nat. Neurosci. 9(11):1432-38
    • (2006) Nat. Neurosci. , vol.9 , Issue.11 , pp. 1432-1438
    • Ma, W.J.1    Beck, J.M.2    Latham, P.E.3    Pouget, A.4
  • 78
    • 52049084777 scopus 로고    scopus 로고
    • Spiking networks for Bayesian inference and choice
    • Ma WJ, Beck JM, Pouget A. 2008. Spiking networks for Bayesian inference and choice. Curr. Opin. Neurobiol. 18:217-22
    • (2008) Curr. Opin. Neurobiol. , vol.18 , pp. 217-222
    • Ma, W.J.1    Beck, J.M.2    Pouget, A.3
  • 80
    • 61849139060 scopus 로고    scopus 로고
    • Lip-reading aids word recognition most in moderate noise: A Bayesian explanation using high-dimensional feature space
    • Ma WJ, Zhou X, Ross LA, Foxe JJ, Parra LC. 2009. Lip-reading aids word recognition most in moderate noise: a Bayesian explanation using high-dimensional feature space. PLoS ONE 4(3):e4638
    • (2009) PLoS ONE , vol.4 , Issue.3
    • Ma, W.J.1    Zhou, X.2    Ross, L.A.3    Foxe, J.J.4    Parra, L.C.5
  • 82
    • 79955519788 scopus 로고    scopus 로고
    • Integrative processing of perception and reward in an auditory localization paradigm
    • Maiworm M, Konig R, Roder B. 2011. Integrative processing of perception and reward in an auditory localization paradigm. Exp. Psychol. 58(3):217-26
    • (2011) Exp. Psychol. , vol.58 , Issue.3 , pp. 217-226
    • Maiworm, M.1    Konig, R.2    Roder, B.3
  • 83
    • 65349123536 scopus 로고    scopus 로고
    • Bayesian decision theory as a model of human visual perception: Testing Bayesian transfer
    • Maloney LT, Mamassian P. 2009. Bayesian decision theory as a model of human visual perception: testing Bayesian transfer. Vis. Neurosci. 26(1):147-55
    • (2009) Vis. Neurosci. , vol.26 , Issue.1 , pp. 147-155
    • Maloney, L.T.1    Mamassian, P.2
  • 84
    • 84876781551 scopus 로고    scopus 로고
    • Humans have an expectation that gaze is directed toward them
    • Mareschal I, Calder AJ, Clifford CWG. 2013. Humans have an expectation that gaze is directed toward them. Curr. Bio. 23(8):717-21
    • (2013) Curr. Bio. , vol.23 , Issue.8 , pp. 717-721
    • Mareschal, I.1    Calder, A.J.2    Clifford, C.W.G.3
  • 85
    • 84878369662 scopus 로고    scopus 로고
    • Independence is elusive: Set size effects on encoding precision in visual search
    • doi: 10.1167/13.5.8
    • Mazyar H, van den Berg R, Seilheimer RL, Ma WJ. 2013. Independence is elusive: set size effects on encoding precision in visual search. J. Vis. 13(5). doi: 10.1167/13.5.8
    • (2013) J. Vis. , vol.13 , Issue.5
    • Mazyar, H.1    Van Den Berg, R.2    Seilheimer, R.L.3    Ma, W.J.4
  • 86
    • 84864934073 scopus 로고    scopus 로고
    • Neuronal correlates of metacognition in primate frontal cortex
    • Middlebrooks PG, SommerMA. 2012. Neuronal correlates of metacognition in primate frontal cortex. Neuron 75(3):517-30
    • (2012) Neuron , vol.75 , Issue.3 , pp. 517-530
    • Middlebrooks, P.G.1    Sommer, M.A.2
  • 87
    • 21544441749 scopus 로고    scopus 로고
    • Testing Bayesian models of human coincidence timing
    • Miyazaki M, Nozaki D, Nakajima Y. 2005. Testing Bayesian models of human coincidence timing. J. Neurophysiol. 94(1):395-99
    • (2005) J. Neurophysiol. , vol.94 , Issue.1 , pp. 395-399
    • Miyazaki, M.1    Nozaki, D.2    Nakajima, Y.3
  • 89
    • 49849094168 scopus 로고    scopus 로고
    • Multisensory integration in macaque visual cortex depends on cue reliability
    • Morgan ML, DeAngelis GC, Angelaki DE. 2008. Multisensory integration in macaque visual cortex depends on cue reliability. Neuron 59:662-73
    • (2008) Neuron , vol.59 , pp. 662-673
    • Morgan, M.L.1    Deangelis, G.C.2    Angelaki, D.E.3
  • 90
    • 15244352522 scopus 로고    scopus 로고
    • Optimal eye movement strategies in visual search
    • Najemnik J, GeislerWS. 2005. Optimal eye movement strategies in visual search. Nature 434(7031):387-91
    • (2005) Nature , vol.434 , Issue.7031 , pp. 387-391
    • Najemnik, J.1    Geisler, W.S.2
  • 91
    • 84884552049 scopus 로고    scopus 로고
    • Brain systems for probabilistic and dynamic prediction: Computational specificity and integration
    • OReilly JX, Jbabdi S, Rushworth MFS, Behrens TEJ. 2013. Brain systems for probabilistic and dynamic prediction: computational specificity and integration. PLoS Biol. 11(9):e1001662
    • (2013) PLoS Biol. , vol.11 , Issue.9
    • Oreilly, J.X.1    Jbabdi, S.2    Rushworth, M.F.S.3    Behrens, T.E.J.4
  • 93
    • 0025428103 scopus 로고
    • Attentional limits on the perception and memory of visual information
    • Palmer J. 1990. Attentional limits on the perception and memory of visual information. J. Exp. Psychol. Hum. Percept. Perform. 16:332-50
    • (1990) J. Exp. Psychol. Hum. Percept. Perform. , vol.16 , pp. 332-350
    • Palmer, J.1
  • 94
    • 24044497251 scopus 로고    scopus 로고
    • Evolution of the cerebellum as a neuronal machine for Bayesian state estimation
    • Paulin MG. 2005. Evolution of the cerebellum as a neuronal machine for Bayesian state estimation. J. Neural Eng. 2(3):S219-34
    • (2005) J. Neural Eng. , vol.2 , Issue.3
    • Paulin, M.G.1
  • 96
    • 0033566079 scopus 로고    scopus 로고
    • Neural correlates of decision variables in parietal cortex
    • Platt ML, Glimcher PW. 1999. Neural correlates of decision variables in parietal cortex. Nature 400(6741):233-38
    • (1999) Nature , vol.400 , Issue.6741 , pp. 233-238
    • Platt, M.L.1    Glimcher, P.W.2
  • 98
    • 0041355614 scopus 로고    scopus 로고
    • Inference and computation with population codes
    • Pouget A, Dayan P, Zemel RS. 2003. Inference and computation with population codes. Annu. Rev. Neurosci. 26:381-410
    • (2003) Annu. Rev. Neurosci. , vol.26 , pp. 381-410
    • Pouget, A.1    Dayan, P.2    Zemel, R.S.3
  • 99
    • 33746711623 scopus 로고    scopus 로고
    • Neural differentiation of expected reward and risk in human subcortical structures
    • Preuschoff K, Bossaerts P, Quartz SR. 2006. Neural differentiation of expected reward and risk in human subcortical structures. Neuron 51(3):381-90
    • (2006) Neuron , vol.51 , Issue.3 , pp. 381-390
    • Preuschoff, K.1    Bossaerts, P.2    Quartz, S.R.3
  • 100
    • 84890287562 scopus 로고    scopus 로고
    • Trial-to-trial, uncertainty-based adjustment of decision boundaries in visual categorization
    • Qamar AT, Cotton RJ, George RG, Beck JM, Prezhdo E, et al. 2013. Trial-to-trial, uncertainty-based adjustment of decision boundaries in visual categorization. Proc. Natl. Acad. Sci. USA 110(50):20332-37
    • (2013) Proc. Natl. Acad. Sci. USA , vol.110 , Issue.50 , pp. 20332-20337
    • Qamar, A.T.1    Cotton, R.J.2    George, R.G.3    Beck, J.M.4    Prezhdo, E.5
  • 101
    • 45749098894 scopus 로고    scopus 로고
    • Aframework for studying the neurobiology of value-based decision making
    • Rangel A, CamererC,Montague PR. 2008.Aframework for studying the neurobiology of value-based decision making. Nat. Rev. Neurosci. 9(7):545-56
    • (2008) Nat. Rev. Neurosci. , vol.9 , Issue.7 , pp. 545-556
    • Rangel, A.1    Camerer, C.2    Montague, P.R.3
  • 102
    • 0347527070 scopus 로고    scopus 로고
    • Bayesian computation in recurrent neural circuits
    • Rao RP. 2004. Bayesian computation in recurrent neural circuits. Neural Comput. 16(1):1-38
    • (2004) Neural Comput. , vol.16 , Issue.1 , pp. 1-38
    • Rao, R.P.1
  • 103
    • 78651479732 scopus 로고    scopus 로고
    • Least squares estimation without priors or supervision
    • Raphan M, Simoncelli EP. 2011. Least squares estimation without priors or supervision. Neural Comput. 23(2):374-420
    • (2011) Neural Comput. , vol.23 , Issue.2 , pp. 374-420
    • Raphan, M.1    Simoncelli, E.P.2
  • 104
    • 41149161631 scopus 로고    scopus 로고
    • Choice, uncertainty and value in prefrontal and cingulate cortex
    • Rushworth MFS, Behrens TEJ. 2008. Choice, uncertainty and value in prefrontal and cingulate cortex. Nat. Neurosci. 11(4):389-97
    • (2008) Nat. Neurosci. , vol.11 , Issue.4 , pp. 389-397
    • Rushworth, M.F.S.1    Behrens, T.E.J.2
  • 105
    • 0029992583 scopus 로고    scopus 로고
    • Probability density estimation for the interpretation of neural population codes
    • Sanger T. 1996. Probability density estimation for the interpretation of neural population codes. J. Neurophysiol. 76(4):2790-93
    • (1996) J. Neurophysiol. , vol.76 , Issue.4 , pp. 2790-2793
    • Sanger, T.1
  • 106
    • 0034576323 scopus 로고    scopus 로고
    • Multiple reward signals in the brain
    • SchultzW. 2000. Multiple reward signals in the brain. Nat. Rev. Neurosci. 1(3):199-207
    • (2000) Nat. Rev. Neurosci. , vol.1 , Issue.3 , pp. 199-207
    • Schultz, W.1
  • 107
    • 43749106024 scopus 로고    scopus 로고
    • Learning stochastic reward distributions in a speeded pointing task
    • Seydell A, McCann BC, Trommershauser J, Knill DC. 2008. Learning stochastic reward distributions in a speeded pointing task. J. Neurosci. 28(17):4356-67
    • (2008) J. Neurosci. , vol.28 , Issue.17 , pp. 4356-4367
    • Seydell, A.1    McCann, B.C.2    Trommershauser, J.3    Knill, D.C.4
  • 108
    • 77957277972 scopus 로고    scopus 로고
    • Exemplar models as a mechanism for performing Bayesian inference
    • Shi L, Griffiths TL, Feldman NH, Sanborn AN. 2010. Exemplar models as a mechanism for performing Bayesian inference. Psychon. Bull. Rev. 17(4):443-64
    • (2010) Psychon. Bull. Rev. , vol.17 , Issue.4 , pp. 443-464
    • Shi, L.1    Griffiths, T.L.2    Feldman, N.H.3    Sanborn, A.N.4
  • 109
    • 77949726481 scopus 로고    scopus 로고
    • Optimal estimation in sensory systems
    • ed. M Gazzanig Cambridge, MA: MIT Press
    • Simoncelli EP. 2009. Optimal estimation in sensory systems. In The Cognitive Neurosciences, Vol. 4, ed. M Gazzanig, pp. 525-35. Cambridge, MA: MIT Press
    • (2009) The Cognitive Neurosciences , vol.4 , pp. 525-535
    • Simoncelli, E.P.1
  • 110
    • 78049503033 scopus 로고    scopus 로고
    • Supplementary eye field encodes option and action value for saccades with variable reward
    • So NY, Stuphorn V. 2010. Supplementary eye field encodes option and action value for saccades with variable reward. J. Neurophysiol. 104(5):2634-53
    • (2010) J. Neurophysiol. , vol.104 , Issue.5 , pp. 2634-2653
    • So, N.Y.1    Stuphorn, V.2
  • 111
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • SoftkyWR, Koch C. 1993. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J. Neurosci. 13(1):334-50
    • (1993) J. Neurosci. , vol.13 , Issue.1 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 112
    • 33645341176 scopus 로고    scopus 로고
    • Noise characteristics and prior expectations in human visual speed perception
    • Stocker AA, Simoncelli EP. 2006. Noise characteristics and prior expectations in human visual speed perception. Nat. Neurosci. 9(4):578-85
    • (2006) Nat. Neurosci. , vol.9 , Issue.4 , pp. 578-585
    • Stocker, A.A.1    Simoncelli, E.P.2
  • 113
    • 2942726234 scopus 로고    scopus 로고
    • Matching behavior and the representation of value in the parietal cortex
    • Sugrue LP, Corrado GS, Newsome WT. 2004. Matching behavior and the representation of value in the parietal cortex. Science 304(5678):1782-87
    • (2004) Science , vol.304 , Issue.5678 , pp. 1782-1787
    • Sugrue, L.P.1    Corrado, G.S.2    Newsome, W.T.3
  • 114
    • 33749528973 scopus 로고    scopus 로고
    • Combining priors and noisy visual cues in a rapid pointing task
    • Tassinari H, Hudson TE, Landy MS. 2006. Combining priors and noisy visual cues in a rapid pointing task. J. Neurosci. 26:10154-63
    • (2006) J. Neurosci. , vol.26 , pp. 10154-10163
    • Tassinari, H.1    Hudson, T.E.2    Landy, M.S.3
  • 115
    • 0035735751 scopus 로고    scopus 로고
    • Generalization, similarity, and Bayesian inference
    • discuss. 652-791
    • Tenenbaum JB, Griffiths TL. 2001. Generalization, similarity, and Bayesian inference. Behav. Brain Sci. 24(4):629-40; discuss. 652-791
    • (2001) Behav. Brain Sci. , vol.24 , Issue.4 , pp. 629-640
    • Tenenbaum, J.B.1    Griffiths, T.L.2
  • 116
    • 0020563088 scopus 로고
    • The statistical reliability of signals in single neurons in cat and monkey visual cortex
    • Tolhurst D, Movshon J, Dean AF. 1983. The statistical reliability of signals in single neurons in cat and monkey visual cortex. Vis. Res. 23:775-85
    • (1983) Vis. Res. , vol.23 , pp. 775-785
    • Tolhurst, D.1    Movshon, J.2    Dean, A.F.3
  • 118
    • 47249101022 scopus 로고    scopus 로고
    • Decisionmaking, movement planning and statistical decision theory
    • Trommershauser J,MaloneyL,Landy MS. 2008. Decisionmaking, movement planning and statistical decision theory. Trends Cogn. Sci. 12(8):291-97
    • (2008) Trends Cogn. Sci. , vol.12 , Issue.8 , pp. 291-297
    • Trommershauser, J.1    Maloney, L.2    Landy, M.S.3
  • 119
  • 121
    • 84866737565 scopus 로고    scopus 로고
    • Differential representations of prior and likelihood uncertainty in the human brain
    • Vilares I, Howard JD, Fernandes HL, Gottfried JA, Kording KP. 2012. Differential representations of prior and likelihood uncertainty in the human brain. Curr. Biol. 22(18):1641-48
    • (2012) Curr. Biol. , vol.22 , Issue.18 , pp. 1641-1648
    • Vilares, I.1    Howard, J.D.2    Fernandes, H.L.3    Gottfried, J.A.4    Kording, K.P.5
  • 122
    • 79954534308 scopus 로고    scopus 로고
    • Bayesian models: The structure of the world, uncertainty, behavior, and the brain
    • Vilares I, Kording KP. 2011. Bayesian models: the structure of the world, uncertainty, behavior, and the brain. Ann. NY Acad. Sci. 1224:22-39
    • (2011) Ann. NY Acad. Sci. , vol.1224 , pp. 22-39
    • Vilares, I.1    Kording, K.P.2
  • 123
    • 40549102782 scopus 로고    scopus 로고
    • Implicit knowledge of visual uncertainty guides decisions with asymmetric outcomes
    • Whiteley L, Sahani M. 2008. Implicit knowledge of visual uncertainty guides decisions with asymmetric outcomes. J. Vis. 8(3):1-15
    • (2008) J. Vis. , vol.8 , Issue.3 , pp. 1-15
    • Whiteley, L.1    Sahani, M.2
  • 125
    • 34347347169 scopus 로고    scopus 로고
    • Probabilistic reasoning by neurons
    • Yang T, Shadlen MN. 2007. Probabilistic reasoning by neurons. Nature 447:1075-80
    • (2007) Nature , vol.447 , pp. 1075-1080
    • Yang, T.1    Shadlen, M.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.