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Volumn 20, Issue 3, 2010, Pages

Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; HUMAN; LEARNING; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; SYNAPSE;

EID: 78649428796     PISSN: 10541500     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.3491237     Document Type: Article
Times cited : (9)

References (33)
  • 1
    • 1642553405 scopus 로고    scopus 로고
    • Bayesian integration in sensorimotor learning
    • NATUAS, 0028-0836, 10.1038/nature02169
    • Körding K.P. Wolpert D.M. Bayesian integration in sensorimotor learning. Nature (London) 2004, 427:244. NATUAS, 0028-0836, 10.1038/nature02169.
    • (2004) Nature (London) , vol.427 , pp. 244
    • Körding, K.P.1    Wolpert, D.M.2
  • 2
    • 33747688922 scopus 로고    scopus 로고
    • Optimal predictions in everyday cognition
    • 0956-7976, 10.1111/j.1467-9280.2006.01780.x
    • Griffiths T.L. Tenenbaum J.B. Optimal predictions in everyday cognition. Psychol. Sci. 2006, 17(9):767. 0956-7976, 10.1111/j.1467-9280.2006.01780.x.
    • (2006) Psychol. Sci. , vol.17 , Issue.9 , pp. 767
    • Griffiths, T.L.1    Tenenbaum, J.B.2
  • 3
    • 0037076216 scopus 로고    scopus 로고
    • When feeling is more important than seeing in sensorimotor adaption
    • CUBLE2, 0960-9822, 10.1016/S0960-9822(02)00836-9
    • van Beers R.J. Wolpert D.M. Haggard P. When feeling is more important than seeing in sensorimotor adaption. Curr. Biol. 2002, 12:834. CUBLE2, 0960-9822, 10.1016/S0960-9822(02)00836-9.
    • (2002) Curr. Biol. , vol.12 , pp. 834
    • van Beers, R.J.1    Wolpert, D.M.2    Haggard, P.3
  • 4
    • 0033017590 scopus 로고    scopus 로고
    • Integration of proprioceptive and visual position-information: An experimentally supported model
    • JONEA4, 0022-3077
    • van Beers R.J. Sittig A.C. Denier van der Gon J.J. Integration of proprioceptive and visual position-information: An experimentally supported model. J. Neurophysiol. 1999, 81:1355. JONEA4, 0022-3077.
    • (1999) J. Neurophysiol. , vol.81 , pp. 1355
    • van Beers, R.J.1    Sittig, A.C.2    Denier van der Gon, J.J.3
  • 5
    • 84899012554 scopus 로고    scopus 로고
    • Hierarchical Bayesian inference in networks of spiking neurons
    • 1049-5258.
    • Rao R.P. N. Hierarchical Bayesian inference in networks of spiking neurons. Adv. Neural Inf. Process. Syst. 2005, 17:1113. 1049-5258.
    • (2005) Adv. Neural Inf. Process. Syst. , vol.17 , pp. 1113
    • Rao, R.P.N.1
  • 6
    • 33750437292 scopus 로고    scopus 로고
    • Bayesian inference with probabilistic population codes
    • NANEFN, 1097-6256, 10.1038/nn1790
    • Ma W.J. Beck J.M. Latham P.E. Pouget A. Bayesian inference with probabilistic population codes. Nat. Neurosci. 2006, 9:1432. NANEFN, 1097-6256, 10.1038/nn1790.
    • (2006) Nat. Neurosci. , vol.9 , pp. 1432
    • Ma, W.J.1    Beck, J.M.2    Latham, P.E.3    Pouget, A.4
  • 7
    • 0032519055 scopus 로고    scopus 로고
    • Probabilistic interpretation of population codes
    • NEUCEB, 0899-7667
    • Zemel R. Dayan P. Pouget A. Probabilistic interpretation of population codes. Neural Comput. 1998, 10(2):403. NEUCEB, 0899-7667.
    • (1998) Neural Comput. , vol.10 , Issue.2 , pp. 403
    • Zemel, R.1    Dayan, P.2    Pouget, A.3
  • 9
    • 70349235964 scopus 로고    scopus 로고
    • Belief-propagation in networks of spiking neurons
    • NEUCEB, 0899-7667, 10.1162/neco.2009.08-08-837
    • Steimer A. Maass W. Douglas R. Belief-propagation in networks of spiking neurons. Neural Comput. 2009, 21:2502. NEUCEB, 0899-7667, 10.1162/neco.2009.08-08-837.
    • (2009) Neural Comput. , vol.21 , pp. 2502
    • Steimer, A.1    Maass, W.2    Douglas, R.3
  • 10
    • 34249745415 scopus 로고    scopus 로고
    • Sensory adaptation within a Bayesian framework for perception
    • 1049-5258
    • Stocker A. Simoncelli E.P. Sensory adaptation within a Bayesian framework for perception. Adv. Neural Inf. Process. Syst. 2006, 18:1291. 1049-5258.
    • (2006) Adv. Neural Inf. Process. Syst. , vol.18 , pp. 1291
    • Stocker, A.1    Simoncelli, E.P.2
  • 11
    • 78649426756 scopus 로고    scopus 로고
    • What kind of graphical model is the brain?
    • Proceedings of the International Joint Conference on Artificial Intelligence, Edinburgh.
    • Hinton G. What kind of graphical model is the brain?. 2005, Proceedings of the International Joint Conference on Artificial Intelligence, Edinburgh.
    • (2005)
    • Hinton, G.1
  • 12
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • SCIEAS, 0036-8075, 10.1126/science.7761831
    • Hinton G.E. Dayan P. Frey B.J. Neal R.M. The wake-sleep algorithm for unsupervised neural networks. Science 1995, 268:1158. SCIEAS, 0036-8075, 10.1126/science.7761831.
    • (1995) Science , vol.268 , pp. 1158
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 13
    • 27544474179 scopus 로고    scopus 로고
    • Bayesian inference and attention in the visual cortex
    • NERPEZ, 0959-4965, 10.1097/01.wnr.0000183900.92901.fc.
    • Rao R.P. N. Bayesian inference and attention in the visual cortex. NeuroReport 2005, 16:1843. NERPEZ, 0959-4965, 10.1097/01.wnr.0000183900.92901.fc.
    • (2005) NeuroReport , vol.16 , pp. 1843
    • Rao, R.P.N.1
  • 16
    • 0033667243 scopus 로고    scopus 로고
    • The role of single neurons in information processing
    • NANEFN, 1097-6256, 10.1038/81444
    • Koch C. Segev I. The role of single neurons in information processing. Nat. Neurosci. 2000, 3:1171. NANEFN, 1097-6256, 10.1038/81444.
    • (2000) Nat. Neurosci. , vol.3 , pp. 1171
    • Koch, C.1    Segev, I.2
  • 17
    • 0035853534 scopus 로고    scopus 로고
    • Auditory spatial receptive fields created by multiplication
    • SCIEAS, 0036-8075, 10.1126/science.1059201
    • Pena J.L. Konishi M. Auditory spatial receptive fields created by multiplication. Science 2001, 292:249. SCIEAS, 0036-8075, 10.1126/science.1059201.
    • (2001) Science , vol.292 , pp. 249
    • Pena, J.L.1    Konishi, M.2
  • 18
    • 0033580480 scopus 로고    scopus 로고
    • Gaze direction controls response gain in primary visual-cortex neurons
    • NATUAS, 0028-0836, 10.1038/18444
    • Trotter Y. Celebrini S. Gaze direction controls response gain in primary visual-cortex neurons. Nature (London) 1999, 398:239. NATUAS, 0028-0836, 10.1038/18444.
    • (1999) Nature (London) , vol.398 , pp. 239
    • Trotter, Y.1    Celebrini, S.2
  • 19
    • 0033542452 scopus 로고    scopus 로고
    • Feature-based attention influences motion processing gain in macaque visual cortex
    • NATUAS, 0028-0836, 10.1038/21176
    • Treue S. Trujillo J.C. M. Feature-based attention influences motion processing gain in macaque visual cortex. Nature (London) 1999, 399:575. NATUAS, 0028-0836, 10.1038/21176.
    • (1999) Nature (London) , vol.399 , pp. 575
    • Treue, S.1    Trujillo, J.C.M.2
  • 20
    • 2542476020 scopus 로고    scopus 로고
    • Computational subunits in thin dendrites of pyramidal cells
    • NANEFN, 1097-6256, 10.1038/nn1253
    • Polsky A. Mel B.W. Schiller J. Computational subunits in thin dendrites of pyramidal cells. Nat. Neurosci. 2004, 7:621. NANEFN, 1097-6256, 10.1038/nn1253.
    • (2004) Nat. Neurosci. , vol.7 , pp. 621
    • Polsky, A.1    Mel, B.W.2    Schiller, J.3
  • 21
    • 0037468832 scopus 로고    scopus 로고
    • Pyramidal neuron as two-layer neural network
    • NERNET, 0896-6273, 10.1016/S0896-6273(03)00149-1
    • Poirazi P. Brannon T. Mel B.W. Pyramidal neuron as two-layer neural network. Neuron 2003, 37:989. NERNET, 0896-6273, 10.1016/S0896-6273(03)00149-1.
    • (2003) Neuron , vol.37 , pp. 989
    • Poirazi, P.1    Brannon, T.2    Mel, B.W.3
  • 22
    • 13844317780 scopus 로고    scopus 로고
    • Memorization and association on a realistic neural model
    • NEUCEB, 0899-7667, 10.1162/0899766053019890.
    • Valiant L. Memorization and association on a realistic neural model. Neural Comput. 2005, 17:527. NEUCEB, 0899-7667, 10.1162/0899766053019890.
    • (2005) Neural Comput. , vol.17 , pp. 527
    • Valiant, L.1
  • 24
    • 25844482570 scopus 로고    scopus 로고
    • Comparison of algorithms for inference and learning in probabilistic graphical models
    • ITPIDJ, 0162-8828, 10.1109/TPAMI.2005.169
    • Frey B.J. Jojic N. Comparison of algorithms for inference and learning in probabilistic graphical models. IEEE Trans. Pattern Anal. Mach. Intell. 2005, 27:1392. ITPIDJ, 0162-8828, 10.1109/TPAMI.2005.169.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , pp. 1392
    • Frey, B.J.1    Jojic, N.2
  • 25
    • 33748685798 scopus 로고    scopus 로고
    • Estimating the wrong graphical model: Benefits in the computation limited setting
    • 1532-4435.
    • Wainwright M.J. Estimating the wrong graphical model: Benefits in the computation limited setting. J. Mach. Learn. Res. 2006, 7:1829. 1532-4435.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1829
    • Wainwright, M.J.1
  • 26
    • 78649417622 scopus 로고    scopus 로고
    • Tightening lp relaxations for map using message passing
    • and Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence.
    • Globerson A. Weiss Y. Sontag D. Meltzer T. Jaakkola T. Tightening lp relaxations for map using message passing. 2008, and Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence.
    • (2008)
    • Globerson, A.1    Weiss, Y.2    Sontag, D.3    Meltzer, T.4    Jaakkola, T.5
  • 28
    • 0004031805 scopus 로고    scopus 로고
    • Understanding belief propagation and its generalizations
    • and Proceedings of the International Joint Conference on Artificial Intelligence, Seattle, WA.
    • Freeman W.T. Yedidia J.S. Weiss Y. Understanding belief propagation and its generalizations. 2001, and Proceedings of the International Joint Conference on Artificial Intelligence, Seattle, WA.
    • (2001)
    • Freeman, W.T.1    Yedidia, J.S.2    Weiss, Y.3
  • 30
    • 34247855750 scopus 로고    scopus 로고
    • Efficient computation based on stochastic spikes
    • NEUCEB, 0899-7667, 10.1162/neco.2007.19.5.1313
    • Ernst U. Rotermund D. Pawelzik K. Efficient computation based on stochastic spikes. Neural Comput. 2007, 19:1313. NEUCEB, 0899-7667, 10.1162/neco.2007.19.5.1313.
    • (2007) Neural Comput. , vol.19 , pp. 1313
    • Ernst, U.1    Rotermund, D.2    Pawelzik, K.3
  • 31
    • 0025268180 scopus 로고
    • Hebbian synapses: Biophysical mechanisms and algorithms
    • ARNSD5, 0147-006X, 10.1146/annurev.ne.13.030190.002355
    • Brown T.H. Kairiss E.W. Keenan C.L. Hebbian synapses: Biophysical mechanisms and algorithms. Annu. Rev. Neurosci. 1990, 13:475. ARNSD5, 0147-006X, 10.1146/annurev.ne.13.030190.002355.
    • (1990) Annu. Rev. Neurosci. , vol.13 , pp. 475
    • Brown, T.H.1    Kairiss, E.W.2    Keenan, C.L.3
  • 32
    • 0037387043 scopus 로고    scopus 로고
    • System identification applied to a visuomotor task: Near-optimal human performance in a noisy changing task
    • JNRSDS, 0270-6474
    • Baddeley R.J. Ingram H.A. Miall R.C. System identification applied to a visuomotor task: Near-optimal human performance in a noisy changing task. J. Neurosci. 2003, 27(7):3066. JNRSDS, 0270-6474.
    • (2003) J. Neurosci. , vol.27 , Issue.7 , pp. 3066
    • Baddeley, R.J.1    Ingram, H.A.2    Miall, R.C.3
  • 33
    • 5144220626 scopus 로고    scopus 로고
    • Bayesian multisensory integration and cross-modal spatial links
    • JHYSEM, 0021-7948, 10.1016/j.jphysparis.2004.03.011
    • Deneve S. Pouget A. Bayesian multisensory integration and cross-modal spatial links. J. Physiol. Paris 2004, 98(1-3):249. JHYSEM, 0021-7948, 10.1016/j.jphysparis.2004.03.011.
    • (2004) J. Physiol. Paris , vol.98 , Issue.1-3 , pp. 249
    • Deneve, S.1    Pouget, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.