Proceedings of the 2013 International Symposium on Nonlinear Theory and its Applications
2013
Session Number:C1L-D
Session:
Number:374
Approximated Probabilistic Inference on a Dynamic Bayesian Network Using a Multistate Neural Network
Makito Oku,
pp.374-377
Publication Date:
Online ISSN:2188-5079
[1] J. Pearl, Artif. Intell., 29(3):241-288, 1986.
[2] K. P. Murphy, Dynamic Bayesian Networks: Representation, Inference and Learning. PhD thesis, University of California, Berkeley, 2002.
[3] H. Attias, in Proc. AISTATS'03, 2003.
[4] D. Verma, R. P. N. Rao, in Proc. IROS'06, pp. 2382-2387, IEEE, 2006.
[5] M. Botvinick, J. An, Adv. Neural Info. Proc. Syst., 21:169-176, 2009.
[6] K. P. Körding, D. M. Wolpert, Nature, 427(6971):244-247, 2004.
[7] D. C. Knill, A. Pouget, Trends Neurosci., 27(12):712-719, 2004.
[8] M. Miyazaki et al., Nat. Neurosci., 9(7):875-877, 2006.
[9] Y. Sato, T. Toyoizumi, K. Aihara, Neural Comput., 19(12):3335-3355, 2007.
[10] K. Doya et al., eds., Bayesian brain: Probabilistic approaches to neural coding. The MIT Press, 2007.
[11] Y. Sato, K. Aihara, PLoS One, 6(4):e19377, 2011.
[12] K.-I. Sawai, Y. Sato, K. Aihara, Front. Psychol., 3:524, 2012.
[13] P. Berkes et al., Science, 331(6013):83-87, 2011.
[14] M. Oku, K. Aihara, SEISAN KENKYU, 65(3), 2013. (in Japanese).
[15] R. S. Sutton, A. G. Barto, Reinforcement Learning: An Introduction. MIT Press, 1998.
[16] B. W. Balleine, A. Dickinson, Neuropharmacology, 37(4-5):407-419, 1998.
[17] N. D. Daw, Y. Niv, P. Dayan, Nat. Neurosci., 8(12):1704-1711, 2005.
[18] C. M. Bishop, Pattern Recognition and Machine Learning. Springer, 2006.
[19] M. Oku, K. Aihara, in Proc. ICCN'11, pp. 213-219, 2011.
[20] M. Oku, K. Aihara, Phys. Lett. A, 374(48):4859-4863, 2010.
[21] R. P. N. Rao, D. H. Ballard, Nat. Neurosci., 2(1):79-87, 1999.
[22] S. O. Murray et al., Proc. Natl. Acad. Sci. U.S.A., 99(23):15164-15169, 2002.
[23] L. H. Arnal, V. Wyart, A.-L. Giraud, Nat. Neurosci., 14(6):797-801, 2011.
[24] G. F. Cooper, in Proc. UAI'88, pp. 55-63, 1988.
[25] M. L. Littman, A. R. Cassandra, L. P. Kaelbling, in Proc. ICML'95, pp. 362-370, 1995.