메뉴 건너뛰기




Volumn 11, Issue 2, 2010, Pages 127-138

The free-energy principle: A unified brain theory?

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; BRAIN; CONCEPTUAL FRAMEWORK; ELECTROENCEPHALOGRAM; ENERGY; ENTROPY; GAME; LEARNING; MOTIVATION; PERCEPTION; PRIORITY JOURNAL; REVIEW; SENSORY CORTEX; SYNAPSE; THEORY;

EID: 75549090229     PISSN: 1471003X     EISSN: 14710048     Source Type: Journal    
DOI: 10.1038/nrn2787     Document Type: Review
Times cited : (4819)

References (130)
  • 1
    • 52449100996 scopus 로고    scopus 로고
    • Is this a unified theory of the brain?
    • Huang, G. Is this a unified theory of the brain? New Scientist 2658, 30-33 (2008).
    • (2008) New Scientist , vol.2658 , pp. 30-33
    • Huang, G.1
  • 3
    • 33845251896 scopus 로고
    • Principles of the self-organising dynamic system
    • Ashby, W. R. Principles of the self-organising dynamic system. J. Gen. Psychol. 37, 125-128 (1947).
    • (1947) J. Gen. Psychol. , vol.37 , pp. 125-128
    • Ashby, W.R.1
  • 9
    • 1542347541 scopus 로고    scopus 로고
    • A non-equilibrium free energy theorem for deterministic systems
    • Evans, D. J. A non-equilibrium free energy theorem for deterministic systems. Mol. Physics 101, 15551-111554 (2003).
    • (2003) Mol. Physics , vol.101 , pp. 15551-111554
    • Evans, D.J.1
  • 13
    • 0029272806 scopus 로고
    • Free-energy minimisation algorithm for decoding and cryptoanalysis
    • MacKay. D. J. C. Free-energy minimisation algorithm for decoding and cryptoanalysis. Electron. Lett. 31, 445-447 (1995).
    • (1995) Electron. Lett. , vol.31 , pp. 445-447
    • MacKay., D.J.C.1
  • 14
  • 15
    • 67349174184 scopus 로고    scopus 로고
    • Bayesian surprise attracts human attention
    • Itti, L. & Baldi, P. Bayesian surprise attracts human attention. Vision Res. 49, 1295-1306 (2009).
    • (2009) Vision Res. , vol.49 , pp. 1295-1306
    • Itti, L.1    Baldi, P.2
  • 16
    • 68149131857 scopus 로고    scopus 로고
    • Active inference or reinforcement learning?
    • Friston, K., Daunizeau, J. & Kiebel, S. Active inference or reinforcement learning? PLoS ONE 4, e6421 (2009).
    • (2009) PLoS ONE , vol.4
    • Friston, K.1    Daunizeau, J.2    Kiebel, S.3
  • 17
    • 8444239052 scopus 로고    scopus 로고
    • The Bayesian brain: The role of uncertainty in neural coding and computation
    • Knill, D. C. & Pouget, A. The Bayesian brain: the role of uncertainty in neural coding and computation. Trends Neurosci. 27, 712-719 (2004).
    • (2004) Trends Neurosci. , vol.27 , pp. 712-719
    • Knill, D.C.1    Pouget, A.2
  • 19
    • 0002324961 scopus 로고
    • eds Shannon, C. E. & McCarthy, J. Princeton Univ. Press, Princeton
    • MacKay, D. M. in Automata Studies (eds Shannon, C. E. & McCarthy, J.) 235-251 (Princeton Univ. Press, Princeton, 1956).
    • (1956) Automata Studies , pp. 235-251
    • MacKay, D.M.1
  • 20
  • 21
    • 0014437094 scopus 로고
    • Perceptual illusions and brain models
    • Gregory, R. L. Perceptual illusions and brain models. Proc. R. Soc. Lond. B Biol. Sci. 171, 179-196 (1968).
    • (1968) Proc. R. Soc. Lond. B Biol. Sci. , vol.171 , pp. 179-196
    • Gregory, R.L.1
  • 26
  • 30
    • 84949161149 scopus 로고
    • Stein's estimation rule and its competitors-an empirical Bayes approach
    • Efron, B. & Morris, C. Stein's estimation rule and its competitors-an empirical Bayes approach. J. Am. Stats. Assoc. 68, 117-130 (1973).
    • (1973) J. Am. Stats. Assoc. , vol.68 , pp. 117-130
    • Efron, B.1    Morris, C.2
  • 31
    • 80052029170 scopus 로고
    • Approximate Bayesian inference in conditionally independent hierarchical models (parametric empirical Bayes models)
    • Kass, R. E. & Steffey, D. Approximate Bayesian inference in conditionally independent hierarchical models (parametric empirical Bayes models). J. Am. Stat. Assoc. 407, 717-726 (1989).
    • (1989) J. Am. Stat. Assoc. , vol.407 , pp. 717-726
    • Kass, R.E.1    Steffey, D.2
  • 32
    • 0023766090 scopus 로고
    • The functional logic of cortical connections
    • Zeki, S. & Shipp, S. The functional logic of cortical connections. Nature 335, 311-317 (1988).
    • (1988) Nature , vol.335 , pp. 311-317
    • Zeki, S.1    Shipp, S.2
  • 33
    • 0025718412 scopus 로고
    • Distributed hierarchical processing in the primate cerebral cortex
    • Felleman, D. J. & Van Essen, D. C. Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex 1, 1-47 (1991).
    • (1991) Cereb. Cortex , vol.1 , pp. 1-47
    • Felleman, D.J.1    Van Essen, D.C.2
  • 34
    • 0031835226 scopus 로고    scopus 로고
    • From sensation to cognition
    • Mesulam, M. M. From sensation to cognition. Brain 121, 1013-1052 (1998).
    • (1998) Brain , vol.121 , pp. 1013-1052
    • Mesulam, M.M.1
  • 35
    • 0029992583 scopus 로고    scopus 로고
    • Probability density estimation for the interpretation of neural population codes
    • Sanger, T. Probability density estimation for the interpretation of neural population codes. J. Neurophysiol. 76, 2790-2793 (1996).
    • (1996) J. Neurophysiol. , vol.76 , pp. 2790-2793
    • Sanger, T.1
  • 36
    • 0032519055 scopus 로고    scopus 로고
    • Probabilistic interpretation of population code
    • Zemel, R., Dayan, P. & Pouget, A. Probabilistic interpretation of population code. Neural Comput. 10, 403-430 (1998).
    • (1998) Neural Comput. , vol.10 , pp. 403-430
    • Zemel, R.1    Dayan, P.2    Pouget, A.3
  • 37
    • 24044497251 scopus 로고    scopus 로고
    • Evolution of the cerebellum as a neuronal machine for Bayesian state estimation
    • Paulin, M. G. Evolution of the cerebellum as a neuronal machine for Bayesian state estimation. J. Neural Eng. 2, S219-S234 (2005).
    • (2005) J. Neural Eng. , vol.2
    • Paulin, M.G.1
  • 38
    • 33750437292 scopus 로고    scopus 로고
    • Bayesian inference with probabilistic population codes
    • Ma, W. J., Beck, J. M., Latham, P. E. & Pouget, A. Bayesian inference with probabilistic population codes. Nature Neurosci. 9, 1432-1438 (2006).
    • (2006) Nature Neurosci. , vol.9 , pp. 1432-1438
    • Ma, W.J.1    Beck, J.M.2    Latham, P.E.3    Pouget, A.4
  • 40
    • 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. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive field effects. Nature Neurosci. 2, 79-87 (1998).
    • (1998) Nature Neurosci. , vol.2 , pp. 79-87
    • Rao, R.P.1    Ballard, D.H.2
  • 41
    • 0026463329 scopus 로고
    • On the computational architecture of the neocortex. II. the role of cortico-cortical loops
    • Mumford, D. On the computational architecture of the neocortex. II. The role of cortico-cortical loops. Biol. Cybern. 66, 241-251 (1992).
    • (1992) Biol. Cybern. , vol.66 , pp. 241-251
    • Mumford, D.1
  • 42
    • 57149113922 scopus 로고    scopus 로고
    • Hierarchical models in the brain
    • Friston, K. Hierarchical models in the brain. PLoS Comput. Biol. 4, e1000211 (2008).
    • (2008) PLoS Comput. Biol. , vol.4
    • Friston, K.1
  • 44
    • 65649088304 scopus 로고    scopus 로고
    • Dynamic causal modeling of the response to frequency deviants
    • Garrido, M. I., Kilner, J. M., Kiebel, S. J. & Friston, K. J. Dynamic causal modeling of the response to frequency deviants. J. Neurophysiol. 101, 2620-2631 (2009).
    • (2009) J. Neurophysiol. , vol.101 , pp. 2620-2631
    • Garrido, M.I.1    Kilner, J.M.2    Kiebel, S.J.3    Friston, K.J.4
  • 45
    • 0032499782 scopus 로고    scopus 로고
    • On the actions that one nerve cell can have on another: Distinguishing "drivers" from "modulators"
    • Sherman, S. M. & Guillery, R. W. On the actions that one nerve cell can have on another: distinguishing "drivers" from "modulators". Proc. Natl Acad. Sci. USA 95, 7121-7126 (1998).
    • (1998) Proc. Natl Acad. Sci. USA , vol.95 , pp. 7121-7126
    • Sherman, S.M.1    Guillery, R.W.2
  • 46
    • 33746950018 scopus 로고    scopus 로고
    • Contribution of feedforward, lateral and feedback connections to the classical receptive field center and extra-classical receptive field surround of primate V1 neurons
    • Angelucci, A. & Bressloff, P. C. Contribution of feedforward, lateral and feedback connections to the classical receptive field center and extra-classical receptive field surround of primate V1 neurons. Prog. Brain Res. 154, 93-120 (2006).
    • (2006) Prog. Brain Res. , vol.154 , pp. 93-120
    • Angelucci, A.1    Bressloff, P.C.2
  • 47
    • 34948895040 scopus 로고    scopus 로고
    • Towards a unified theory of neocortex: Laminar cortical circuits for vision and cognition
    • Grossberg, S. Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition. Prog. Brain Res. 165, 79-104 (2007).
    • (2007) Prog. Brain Res. , vol.165 , pp. 79-104
    • Grossberg, S.1
  • 48
    • 46649121008 scopus 로고    scopus 로고
    • Spikes, synchrony, and attentive learning by laminar thalamocortical circuits
    • Grossberg, S. & Versace, M. Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Brain Res. 1218, 278-312 (2008).
    • (2008) Brain Res. , vol.1218 , pp. 278-312
    • Grossberg, S.1    Versace, M.2
  • 49
    • 0002014402 scopus 로고
    • ed. Rosenblith, W. MIT Press, Cambridge, Massachusetts
    • Barlow, H. in Sensory Communication (ed. Rosenblith, W.) 217-234 (MIT Press, Cambridge, Massachusetts, 1961).
    • (1961) Sensory Communication , pp. 217-234
    • Barlow, H.1
  • 50
    • 0025318244 scopus 로고
    • Perceptual neural organisation: Some approaches based on network models and information theory
    • Linsker, R. Perceptual neural organisation: some approaches based on network models and information theory. Annu. Rev. Neurosci. 13, 257-281 (1990).
    • (1990) Annu. Rev. Neurosci. , vol.13 , pp. 257-281
    • Linsker, R.1
  • 51
    • 0002399288 scopus 로고
    • Neural networks, principal components, and subspaces
    • Oja, E. Neural networks, principal components, and subspaces. Int. J. Neural Syst. 1, 61-68 (1989).
    • (1989) Int. J. Neural Syst. , vol.1 , pp. 61-68
    • Oja, E.1
  • 52
    • 0029411030 scopus 로고
    • An information maximisation approach to blind separation and blind de-convolution
    • Bell, A. J. & Sejnowski, T. J. An information maximisation approach to blind separation and blind de-convolution. Neural Comput. 7, 1129-1159 (1995).
    • (1995) Neural Comput. , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 53
    • 0000547924 scopus 로고
    • What does the retina know about natural scenes?
    • Atick, J. J. & Redlich, A. N. What does the retina know about natural scenes? Neural Comput. 4, 196-210 (1992).
    • (1992) Neural Comput. , vol.4 , pp. 196-210
    • Atick, J.J.1    Redlich, A.N.2
  • 54
    • 0023130095 scopus 로고
    • Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. I. Response characteristics
    • Optican, L. & Richmond, B. J. Temporal encoding of two-dimensional patterns by single units in primate inferior cortex. III Information theoretic analysis. J. Neurophysiol. 57, 132-146 (1987). (Pubitemid 17036259)
    • (1987) Journal of Neurophysiology , vol.57 , Issue.1 , pp. 132-146
    • Richmond, B.J.1    Optican, L.M.2    Podell, M.3    Spitzer, H.4
  • 55
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen, B. A. & Field, D. J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381, 607-609 (1996).
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 56
    • 0034934777 scopus 로고    scopus 로고
    • Natural image statistics and neural representation
    • Simoncelli, E. P. & Olshausen, B. A. Natural image statistics and neural representation. Annu. Rev. Neurosci. 24, 1193-1216 (2001).
    • (2001) Annu. Rev. Neurosci. , vol.24 , pp. 1193-1216
    • Simoncelli, E.P.1    Olshausen, B.A.2
  • 57
    • 0034728477 scopus 로고    scopus 로고
    • The labile brain. III. Transients and spatio-temporal receptive fields
    • Friston, K. J. The labile brain. III. Transients and spatio-temporal receptive fields. Philos. Trans. R. Soc. Lond. B Biol. Sci. 355, 253-265 (2000).
    • (2000) Philos. Trans. R. Soc. Lond. B Biol. Sci. , vol.355 , pp. 253-265
    • Friston, K.J.1
  • 58
    • 0035514587 scopus 로고    scopus 로고
    • Predictability, complexity, and learning
    • Bialek, W., Nemenman, I. & Tishby, N. Predictability, complexity, and learning. Neural Comput. 13, 2409-2463 (2001).
    • (2001) Neural Comput. , vol.13 , pp. 2409-2463
    • Bialek, W.1    Nemenman, I.2    Tishby, N.3
  • 60
    • 0035231935 scopus 로고    scopus 로고
    • Efficiency and complexity in neural coding
    • Laughlin, S. B. Efficiency and complexity in neural coding. Novartis Found. Symp. 239, 177-187 (2001).
    • (2001) Novartis Found. Symp. , vol.239 , pp. 177-187
    • Laughlin, S.B.1
  • 61
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the Relevance Vector Machine
    • Tipping, M. E. Sparse Bayesian learning and the Relevance Vector Machine. J. Machine Learn. Res. 1, 211-244 (2001).
    • (2001) J. Machine Learn. Res. , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 62
    • 56549127348 scopus 로고    scopus 로고
    • Why do many psychiatric disorders emerge during adolescence? Nature Rev
    • Paus, T., Keshavan, M. & Giedd, J. N. Why do many psychiatric disorders emerge during adolescence? Nature Rev. Neurosci. 9, 947-957 (2008).
    • (2008) Neurosci. , vol.9 , pp. 947-957
    • Paus, T.1    Keshavan, M.2    Giedd, J.N.3
  • 63
    • 64249122538 scopus 로고    scopus 로고
    • Widespread changes in synaptic markers as a function of sleep and wakefulness in Drosophila
    • Gilestro, G. F., Tononi, G. & Cirelli, C. Widespread changes in synaptic markers as a function of sleep and wakefulness in Drosophila. Science 324, 109-112 (2009).
    • (2009) Science , vol.324 , pp. 109-112
    • Gilestro, G.F.1    Tononi, G.2    Cirelli, C.3
  • 64
    • 0033556862 scopus 로고    scopus 로고
    • A unifying review of linear Gaussian models
    • Roweis, S. & Ghahramani, Z. A unifying review of linear Gaussian models. Neural Comput. 11, 305-345 (1999).
    • (1999) Neural Comput. , vol.11 , pp. 305-345
    • Roweis, S.1    Ghahramani, Z.2
  • 66
    • 0034088617 scopus 로고    scopus 로고
    • Natural patterns of activity and long-term synaptic plasticity
    • Paulsen, O. & Sejnowski, T. J. Natural patterns of activity and long-term synaptic plasticity. Curr. Opin. Neurobiol. 10, 172-179 (2000).
    • (2000) Curr. Opin. Neurobiol. , vol.10 , pp. 172-179
    • Paulsen, O.1    Sejnowski, T.J.2
  • 67
    • 0003708920 scopus 로고
    • Internal Report 81-82, Dept. Neurobiology, Max-Planck-Institute for Biophysical Chemistry
    • von der Malsburg, C. The Correlation Theory of Brain Function. Internal Report 81-82, Dept. Neurobiology, Max-Planck-Institute for Biophysical Chemistry (1981).
    • (1981) The Correlation Theory of Brain Function
    • Von Der Malsburg, C.1
  • 68
    • 0028969330 scopus 로고
    • Visual feature integration and the temporal correlation hypothesis
    • Singer, W. & Gray, C. M. Visual feature integration and the temporal correlation hypothesis. Annu. Rev. Neurosci. 18, 555-586 (1995).
    • (1995) Annu. Rev. Neurosci. , vol.18 , pp. 555-586
    • Singer, W.1    Gray, C.M.2
  • 69
    • 0020074887 scopus 로고
    • Theory for the development of neuron selectivity: Orientation specificity and binocular interaction in visual cortex
    • Bienenstock, E. L., Cooper, L. N. & Munro, P. W. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. J. Neurosci. 2, 32-48 (1982).
    • (1982) J. Neurosci. , vol.2 , pp. 32-48
    • Bienenstock, E.L.1    Cooper, L.N.2    Munro, P.W.3
  • 70
    • 0029984320 scopus 로고    scopus 로고
    • Metaplasticity: The plasticity of synaptic plasticity
    • Abraham, W. C. & Bear, M. F. Metaplasticity: the plasticity of synaptic plasticity. Trends Neurosci. 19, 126-130 (1996).
    • (1996) Trends Neurosci. , vol.19 , pp. 126-130
    • Abraham, W.C.1    Bear, M.F.2
  • 71
    • 3142664837 scopus 로고    scopus 로고
    • Does the brain oscillate? the dispute on neuronal synchronization
    • Pareti, G. & De Palma, A. Does the brain oscillate? The dispute on neuronal synchronization. Neurol. Sci. 25, 41-47 (2004).
    • (2004) Neurol. Sci. , vol.25 , pp. 41-47
    • Pareti, G.1    De Palma, A.2
  • 73
    • 33745506862 scopus 로고    scopus 로고
    • Beyond bistability: Biophysics and temporal dynamics of working memory
    • Durstewitz, D. & Seamans, J. K. Beyond bistability: biophysics and temporal dynamics of working memory. Neuroscience 139, 119-133 (2006).
    • (2006) Neuroscience , vol.139 , pp. 119-133
    • Durstewitz, D.1    Seamans, J.K.2
  • 74
    • 34248550881 scopus 로고    scopus 로고
    • J. Physiol. Paris 100, 225-236 (2006).
    • (2006) J. Physiol. Paris , vol.100 , pp. 225-236
  • 75
    • 0031024005 scopus 로고    scopus 로고
    • Synaptic depression and cortical gain control
    • Abbott, L. F., Varela, J. A., Sen, K. & Nelson, S. B. Synaptic depression and cortical gain control. Science 275, 220-224 (1997).
    • (1997) Science , vol.275 , pp. 220-224
    • Abbott, L.F.1    Varela, J.A.2    Sen, K.3    Nelson, S.B.4
  • 76
    • 20444388016 scopus 로고    scopus 로고
    • Uncertainty neuromodulation and attention
    • Yu, A. J. & Dayan, P. Uncertainty, neuromodulation and attention. Neuron 46, 681-692 (2005).
    • (2005) Neuron , vol.46 , pp. 681-692
    • Yu, A.J.1    Dayan, P.2
  • 77
    • 0036592023 scopus 로고    scopus 로고
    • Metalearning and neuromodulation
    • Doya, K. Metalearning and neuromodulation. Neural Netw. 15, 495-506 (2002).
    • (2002) Neural Netw. , vol.15 , pp. 495-506
    • Doya, K.1
  • 78
    • 0033566444 scopus 로고    scopus 로고
    • The relationship between synchronization among neuronal populations and their mean activity levels
    • Chawla, D., Lumer, E. D. & Friston, K. J. The relationship between synchronization among neuronal populations and their mean activity levels. Neural Comput. 11, 1389-1411 (1999).
    • (1999) Neural Comput. , vol.11 , pp. 1389-1411
    • Chawla, D.1    Lumer, E.D.2    Friston, K.J.3
  • 79
    • 44649112585 scopus 로고    scopus 로고
    • The effects of visual stimulation and selective visual attention on rhythmic neuronal synchronization in macaque area V4
    • Fries, P., Womelsdorf, T., Oostenveld, R. & Desimone, R. The effects of visual stimulation and selective visual attention on rhythmic neuronal synchronization in macaque area V4. J. Neurosci. 28, 4823-4835 (2008).
    • (2008) J. Neurosci. , vol.28 , pp. 4823-4835
    • Fries, P.1    Womelsdorf, T.2    Oostenveld, R.3    Desimone, R.4
  • 80
    • 34248582698 scopus 로고    scopus 로고
    • Neuronal coherence during selective attentional processing and sensory-motor integration
    • Womelsdorf, T. & Fries, P. Neuronal coherence during selective attentional processing and sensory-motor integration. J. Physiol. Paris 100, 182-193 (2006).
    • (2006) J. Physiol. Paris , vol.100 , pp. 182-193
    • Womelsdorf, T.1    Fries, P.2
  • 82
    • 0032578272 scopus 로고    scopus 로고
    • Feature binding, attention and object perception
    • Treisman, A. Feature binding, attention and object perception. Philos. Trans. R. Soc. Lond. B Biol. Sci. 353, 1295-1306 (1998).
    • (1998) Philos. Trans. R. Soc. Lond. B Biol. Sci. , vol.353 , pp. 1295-1306
    • Treisman, A.1
  • 83
    • 33745152770 scopus 로고    scopus 로고
    • Feature-based attention in visual cortex
    • Maunsell, J. H. & Treue, S. Feature-based attention in visual cortex. Trends Neurosci. 29, 317-322 (2006).
    • (2006) Trends Neurosci. , vol.29 , pp. 317-322
    • Maunsell, J.H.1    Treue, S.2
  • 84
    • 43249093596 scopus 로고    scopus 로고
    • Predictive-coding as a model of biased competition in visual attention
    • Spratling, M. W. Predictive-coding as a model of biased competition in visual attention. Vision Res. 48, 1391-1408 (2008).
    • (2008) Vision Res. , vol.48 , pp. 1391-1408
    • Spratling, M.W.1
  • 85
    • 58549119195 scopus 로고    scopus 로고
    • The normalization model of attention
    • Reynolds, J. H. & Heeger, D. J. The normalization model of attention. Neuron 61, 168-185 (2009).
    • (2009) Neuron , vol.61 , pp. 168-185
    • Reynolds, J.H.1    Heeger, D.J.2
  • 86
    • 0035344174 scopus 로고    scopus 로고
    • Determinants and mechanisms of attentional modulation of neural processing
    • Schroeder, C. E., Mehta, A. D. & Foxe, J. J. Determinants and mechanisms of attentional modulation of neural processing. Front. Biosci. 6, D672-D684 (2001).
    • (2001) Front. Biosci. , vol.6
    • Schroeder, C.E.1    Mehta, A.D.2    Foxe, J.J.3
  • 87
    • 8444252961 scopus 로고    scopus 로고
    • Bayesian representation learning in the cortex regulated by acetylcholine
    • Hirayama, J., Yoshimoto, J. & Ishii, S. Bayesian representation learning in the cortex regulated by acetylcholine. Neural Netw. 17, 1391-1400 (2004).
    • (2004) Neural Netw. , vol.17 , pp. 1391-1400
    • Hirayama, J.1    Yoshimoto, J.2    Ishii, S.3
  • 88
    • 0027403707 scopus 로고
    • Neural Darwinism: Selection and reentrant signaling in higher brain function
    • Edelman, G. M. Neural Darwinism: selection and reentrant signaling in higher brain function. Neuron 10, 115-125 (1993).
    • (1993) Neuron , vol.10 , pp. 115-125
    • Edelman, G.M.1
  • 89
    • 0034773149 scopus 로고    scopus 로고
    • Altruism and the hypothesis of meta-selection in human evolution
    • Knobloch, F. Altruism and the hypothesis of meta-selection in human evolution. J. Am. Acad. Psychoanal. 29, 339-354 (2001).
    • (2001) J. Am. Acad. Psychoanal. , vol.29 , pp. 339-354
    • Knobloch, F.1
  • 90
    • 0028351678 scopus 로고
    • Value-dependent selection in the brain: Simulation in a synthetic neural model
    • Friston, K. J., Tononi, G., Reeke, G. N. Jr, Sporns, O. & Edelman, G. M. Value-dependent selection in the brain: simulation in a synthetic neural model. Neuroscience 59, 229-243 (1994).
    • (1994) Neuroscience , vol.59 , pp. 229-243
    • Friston, K.J.1    Tononi, G.2    Reeke Jr., G.N.3    Sporns, O.4    Edelman, G.M.5
  • 91
    • 0019537951 scopus 로고
    • Toward a modern theory of adaptive networks: Expectation and prediction
    • Sutton, R. S. & Barto, A. G. Toward a modern theory of adaptive networks: expectation and prediction. Psychol. Rev. 88, 135-170 (1981).
    • (1981) Psychol. Rev. , vol.88 , pp. 135-170
    • Sutton, R.S.1    Barto, A.G.2
  • 92
    • 0028972278 scopus 로고
    • Bee foraging in uncertain environments using predictive Hebbian learning
    • Montague, P. R., Dayan, P., Person, C. & Sejnowski, T. J. Bee foraging in uncertain environments using predictive Hebbian learning. Nature 377, 725-728 (1995).
    • (1995) Nature , vol.377 , pp. 725-728
    • Montague, P.R.1    Dayan, P.2    Person, C.3    Sejnowski, T.J.4
  • 93
    • 0031867046 scopus 로고    scopus 로고
    • Predictive reward signal of dopamine neurons
    • Schultz, W. Predictive reward signal of dopamine neurons. J. Neurophysiol. 80, 1-27 (1998).
    • (1998) J. Neurophysiol. , vol.80 , pp. 1-27
    • Schultz, W.1
  • 94
    • 33646492363 scopus 로고    scopus 로고
    • The computational neurobiology of learning and reward
    • Daw, N. D. & Doya, K. The computational neurobiology of learning and reward. Curr. Opin. Neurobiol. 16, 199-204 (2006).
    • (2006) Curr. Opin. Neurobiol. , vol.16 , pp. 199-204
    • Daw, N.D.1    Doya, K.2
  • 95
    • 33751184634 scopus 로고    scopus 로고
    • The short-latency dopamine signal: A role in discovering novel actions?
    • Redgrave, P. & Gurney, K. The short-latency dopamine signal: a role in discovering novel actions? Nature Rev. Neurosci. 7, 967-975 (2006).
    • (2006) Nature Rev. Neurosci. , vol.7 , pp. 967-975
    • Redgrave, P.1    Gurney, K.2
  • 96
    • 33847634405 scopus 로고    scopus 로고
    • The debate over dopamine's role in reward: The case for incentive salience
    • Berridge, K. C. The debate over dopamine's role in reward: the case for incentive salience. Psychopharmacology (Berl.) 191, 391-431 (2007).
    • (2007) Psychopharmacology (Berl.) , vol.191 , pp. 391-431
    • Berridge, K.C.1
  • 97
    • 22144437325 scopus 로고    scopus 로고
    • The application of statistical physics to evolutionary biology
    • Sella, G. & Hirsh, A. E. The application of statistical physics to evolutionary biology. Proc. Natl Acad. Sci. USA 102, 9541-9546 (2005).
    • (2005) Proc. Natl Acad. Sci. USA , vol.102 , pp. 9541-9546
    • Sella, G.1    Hirsh, A.E.2
  • 99
    • 0008556523 scopus 로고
    • On the theory of dynamic programming
    • Bellman, R. On the Theory of Dynamic Programming. Proc. Natl Acad. Sci. USA 38, 716-719 (1952).
    • (1952) Proc. Natl Acad. Sci. USA , vol.38 , pp. 716-719
    • Bellman, R.1
  • 102
    • 0038060580 scopus 로고    scopus 로고
    • Behavioural studies of strategic thinking in games
    • Camerer, C. F. Behavioural studies of strategic thinking in games. Trends Cogn. Sci. 7, 225-231 (2003).
    • (2003) Trends Cogn. Sci. , vol.7 , pp. 225-231
    • Camerer, C.F.1
  • 103
    • 34548719708 scopus 로고
    • The logic of animal conflict
    • Smith, J. M. & Price, G. R. The logic of animal conflict. Nature 246, 15-18 (1973).
    • (1973) Nature , vol.246 , pp. 15-18
    • Smith, J.M.1    Price, G.R.2
  • 104
    • 0002021736 scopus 로고
    • Equilibrium points in n-person games
    • Nash, J. Equilibrium points in n-person games. Proc. Natl Acad. Sci. USA 36, 48-49 (1950).
    • (1950) Proc. Natl Acad. Sci. USA , vol.36 , pp. 48-49
    • Nash, J.1
  • 105
    • 0030296794 scopus 로고    scopus 로고
    • Forward models for physiological motor control
    • Wolpert, D. M. & Miall, R. C. Forward models for physiological motor control. Neural Netw. 9, 1265-1279 (1996).
    • (1996) Neural Netw. , vol.9 , pp. 1265-1279
    • Wolpert, D.M.1    Miall, R.C.2
  • 106
    • 0031811979 scopus 로고    scopus 로고
    • Smoothness maximization along a predefined path accurately predicts the speed profiles of complex arm movements
    • Todorov, E. & Jordan, M. I. Smoothness maximization along a predefined path accurately predicts the speed profiles of complex arm movements. J. Neurophysiol. 80, 696-714 (1998).
    • (1998) J. Neurophysiol. , vol.80 , pp. 696-714
    • Todorov, E.1    Jordan, M.I.2
  • 108
    • 33846239996 scopus 로고    scopus 로고
    • Computational principles of sensorimotor control that minimize uncertainty and variability
    • Bays, P. M. & Wolpert, D. M. Computational principles of sensorimotor control that minimize uncertainty and variability. J. Physiol. 578, 387-396 (2007).
    • (2007) J. Physiol. , vol.578 , pp. 387-396
    • Bays, P.M.1    Wolpert, D.M.2
  • 109
    • 39149095584 scopus 로고    scopus 로고
    • A computational neuroanatomy for motor control
    • Shadmehr, R. & Krakauer, J. W. A computational neuroanatomy for motor control. Exp. Brain Res. 185, 359-381 (2008).
    • (2008) Exp. Brain Res. , vol.185 , pp. 359-381
    • Shadmehr, R.1    Krakauer, J.W.2
  • 110
    • 0142136737 scopus 로고    scopus 로고
    • Environmentally mediated synergy between perception and behaviour in mobile robots
    • Verschure, P. F., Voegtlin, T. & Douglas, R. J. Environmentally mediated synergy between perception and behaviour in mobile robots. Nature 425, 620-624 (2003).
    • (2003) Nature , vol.425 , pp. 620-624
    • Verschure, P.F.1    Voegtlin, T.2    Douglas, R.J.3
  • 111
    • 34250348767 scopus 로고    scopus 로고
    • Should i stay or should i go? How the human brain manages the trade-off between exploitation and exploration
    • Cohen, J. D., McClure, S. M. & Yu, A. J. Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration. Philos. Trans. R. Soc. Lond. B Biol. Sci. 362, 933-942 (2007).
    • (2007) Philos. Trans. R. Soc. Lond. B Biol. Sci. , vol.362 , pp. 933-942
    • Cohen, J.D.1    McClure, S.M.2    Yu, A.J.3
  • 112
    • 0036592028 scopus 로고    scopus 로고
    • Control of exploitation-exploration meta-parameter in reinforcement learning
    • Ishii, S., Yoshida, W. & Yoshimoto, J. Control of exploitation-exploration meta-parameter in reinforcement learning. Neural Netw. 15, 665-687 (2002).
    • (2002) Neural Netw. , vol.15 , pp. 665-687
    • Ishii, S.1    Yoshida, W.2    Yoshimoto, J.3
  • 113
  • 114
    • 0033770580 scopus 로고    scopus 로고
    • Rational evolutionary design: The theory of in vitro protein evolution
    • Voigt, C. A., Kauffman, S. & Wang, Z. G. Rational evolutionary design: the theory of in vitro protein evolution. Adv. Protein Chem. 55, 79-160 (2000).
    • (2000) Adv. Protein Chem. , vol.55 , pp. 79-160
    • Voigt, C.A.1    Kauffman, S.2    Wang, Z.G.3
  • 115
    • 0028477230 scopus 로고
    • Characterization of state transitions in spatially distributed, chaotic, nonlinear, dynamical systems in cerebral cortex
    • Freeman, W. J. Characterization of state transitions in spatially distributed, chaotic, nonlinear, dynamical systems in cerebral cortex. Integr. Physiol. Behav. Sci. 29, 294-306 (1994).
    • (1994) Integr. Physiol. Behav. Sci. , vol.29 , pp. 294-306
    • Freeman, W.J.1
  • 116
    • 0035495017 scopus 로고    scopus 로고
    • Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems
    • Tsuda, I. Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems. Behav. Brain Sci. 24, 793-810 (2001).
    • (2001) Behav. Brain Sci. , vol.24 , pp. 793-810
    • Tsuda, I.1
  • 117
    • 0028186856 scopus 로고
    • A theoretical model of phase transitions in the human brain
    • Jirsa, V. K., Friedrich, R., Haken, H. & Kelso, J. A. A theoretical model of phase transitions in the human brain. Biol. Cybern. 71, 27-35 (1994).
    • (1994) Biol. Cybern. , vol.71 , pp. 27-35
    • Jirsa, V.K.1    Friedrich, R.2    Haken, H.3    Kelso, J.A.4
  • 119
    • 33747104200 scopus 로고    scopus 로고
    • Operational principles of neurocognitive networks
    • Bressler, S. L. & Tognoli, E. Operational principles of neurocognitive networks. Int. J. Psychophysiol. 60, 139-148 (2006).
    • (2006) Int. J. Psychophysiol. , vol.60 , pp. 139-148
    • Bressler, S.L.1    Tognoli, E.2
  • 120
    • 40849114843 scopus 로고    scopus 로고
    • Brain dynamics across levels of organization
    • Werner, G. Brain dynamics across levels of organization. J. Physiol. Paris 101, 273-279 (2007).
    • (2007) J. Physiol. Paris , vol.101 , pp. 273-279
    • Werner, G.1
  • 121
    • 43949083698 scopus 로고    scopus 로고
    • Self-organization and neuronal avalanches in networks of dissociated cortical neurons
    • Pasquale, V., Massobrio, P., Bologna, L. L., Chiappalone, M. & Martinoia, S. Self-organization and neuronal avalanches in networks of dissociated cortical neurons. Neuroscience 153, 1354-1369 (2008).
    • (2008) Neuroscience , vol.153 , pp. 1354-1369
    • Pasquale, V.1    Massobrio, P.2    Bologna, L.L.3    Chiappalone, M.4    Martinoia, S.5
  • 123
    • 75549087794 scopus 로고    scopus 로고
    • Transient dynamics for neural processing
    • Rabinovich, M., Huerta, R. & Laurent, G. Transient dynamics for neural processing. Science 32148-32150 (2008).
    • (2008) Science , pp. 32148-32150
    • Rabinovich, M.1    Huerta, R.2    Laurent, G.3
  • 124
    • 33847740050 scopus 로고    scopus 로고
    • Intentionality in non-equilibrium systems? the functional aspects of self-organised pattern formation
    • Tschacher, W. & Hake, H. Intentionality in non-equilibrium systems? The functional aspects of self-organised pattern formation. New Ideas Psychol. 25, 1-15 (2007).
    • (2007) New Ideas Psychol. , vol.25 , pp. 1-15
    • Tschacher, W.1    Hake, H.2
  • 125
    • 0011176861 scopus 로고
    • Editorial Universitaria Santiago English translation available in Maturana, H. R. & Varela, F. in Autopoiesis and Cognition (Reidel, Dordrecht, 1980)
    • Maturana, H. R. & Varela, F. De máquinas y seres vivos (Editorial Universitaria, Santiago, 1972). English translation available in Maturana, H. R. & Varela, F. in Autopoiesis and Cognition (Reidel, Dordrecht, 1980).
    • (1972) De Máquinas y Seres Vivos
    • Maturana, H.R.1    Varela, F.2
  • 126
    • 0037459319 scopus 로고    scopus 로고
    • Discrete coding of reward probability and uncertainty by dopamine neurons
    • Fiorillo, C. D., Tobler, P. N. & Schultz, W. Discrete coding of reward probability and uncertainty by dopamine neurons. Science 299, 1898-1902 (2003).
    • (2003) Science , vol.299 , pp. 1898-1902
    • Fiorillo, C.D.1    Tobler, P.N.2    Schultz, W.3
  • 127
  • 128
    • 57749177083 scopus 로고    scopus 로고
    • Perceiving is believing: A Bayesian approach to explaining the positive symptoms of schizophrenia
    • Fletcher, P. C. & Frith, C. D. Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia. Nature Rev. Neurosci. 10, 48-58 (2009).
    • (2009) Nature Rev. Neurosci. , vol.10 , pp. 48-58
    • Fletcher, P.C.1    Frith, C.D.2
  • 129
    • 0142030173 scopus 로고    scopus 로고
    • Convergence of biological and psychological perspectives on cognitive coordination in schizophrenia
    • Phillips, W. A. & Silverstein, S. M. Convergence of biological and psychological perspectives on cognitive coordination in schizophrenia. Behav. Brain Sci. 26, 65-82 (2003).
    • (2003) Behav. Brain Sci. , vol.26 , pp. 65-82
    • Phillips, W.A.1    Silverstein, S.M.2
  • 130
    • 70349387424 scopus 로고    scopus 로고
    • Cortical circuits for perceptual inference
    • Friston, K. & Kiebel, S. Cortical circuits for perceptual inference. Neural Netw. 22, 1093-1104 (2009).
    • (2009) Neural Netw. , vol.22 , pp. 1093-1104
    • Friston, K.1    Kiebel, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.