Bernal S D_2010.pdf - University of Plymouth

Weiss, Y. & Adelson, H. H. (1998), Slow and smooth: a bayesian theory for the combinaiiou of
local motionsignals in human vision, Technical Report AIM-1624, MIT.
Williams, M. A., Baker. C. I., Op dc Beeck, H. P, Mok Shim, W., Dang, S., Triantafyllou, C. &
Kanwisher. N. (2008), 'Feedback of visual objecl information to foveal retinotopic cortex'.
Nature Neuroscience 11(12). 1439-1445.
Wilson, H. R. (2003), 'Computational evidence for a rivalry hierarchy in vision', Pwceedinf-s
of the National Academy of Sciences of the United Stales of America 100(24), 14499-14503.
Winn. J. & Bishop, C. M. (2(X15), 'Variational message passing', J. Mach. Learn. Res. 6, 661-
694.
Wiskott, L. & Sejnowski, T. J. (2002), 'Slow feature analysis: Unsupervised learning of invari-
ances'. Neural ConipuUiliim 14(4), 715-770.
Wu. S. & Amari, S. (2001), Neural implemenlation of bayesian inference in population codes,
in "Advances in Neural Information Processing Systems 14 (NrPS*2001).'.
Yamane, Y., Tsunoda, K.. Malsumoto, M., Phillips, A. N. & Tanifuji, M. (2006). 'Represen­
tation of the spatial relationship among object parts by neurons in macaque inferotemporal
cortex', yA'ewrop/iy.v/o/96(6). 3147-3156.
Yedidia, J., Freeman. W. & Weiss, Y. (2003). Understanding belief propagation and its gen­
eralizations, in 'Fxploring arliticial intelligence in the new millennium', Morgan Kaufmann
Publishers Inc., San Francisco, CA, pp, 239-269.
Yoshida, W., Seymour, B., Friston, K. J. & Dolan, R. J. (2010), 'Neural mechanisms of belief
inference during cooperative games'./ Neurosci. 30(32), 10744-10751.
Yoshino, A., Kawamoto, M.. Yoshida, T., Kobayashi, N., Shigemura, J., Takahashi. Y. & No­
mura, S. (2006). 'Activation time course of responses to illusory contours and salient region:
A high-density electrical mapping comparison'. Brain Res ,
Yu, A. J., Giese, M. A. & Poggio, T. A. (2002), 'Biophysiologically plausible implementalions
of the maximum operation'. Neural Compulation 14(12), 2857-2881.
Yuille, A. & Kersten. I). (2(K)6), 'Vision as bayesian inference: analysis by synthesis?'. Trends
in Cognitive Sciences 10(7), 301-308.
Zemel, R., Huys, Q.. Naiarajan, R. & Dayan., P. (2004), Probabilistic computation in spiking
populations, in 'Advances in Neural Information Processing Systems 17'.
285