Bernal S D_2010.pdf - University of Plymouth

Bolz, J.& Gilbert, CD. (1986), CJcncralion of end-inhibition in ihe visual cortex via interlam-
inar connections', Nalure 320(6060). 362-365.
Bullier, .1. (2001), 'Inlegraied model of visual processing'. Brain Research Reviews 36{2-3), 96-
107.
Ciidicu. C. Kouh, M., Pasupathy. A., Connor, C. E.. Riesenhuber, M. & Poggio. T. (2007), 'A
model of v4 shape selectivity and \m-d&dnce'. Journal of Neurophysiology 98(3), 1733-1750.
Carandini. M., Demb, J, B.. Mante, V.. Tolhurst. D, J„ Dan, Y.. Olshausen, B. A.. Gallant,
J. L. & Rust, N. C. (2005), 'Uo we know what the early visual system does?'. Journal of
Neurvscience 25(46), 10577-10597.
Carpenter, G. & Grossberg, S. (1987), 'A massively parallel architecture for a self-organizing
neural pattern recognition machine', Compul. Vision Graph, fmcif-c Process. 37(1). 54-115.
Carpenter, G, & Grossberg, S. (1998). 'Adaptive resonance theory (art)', pp. 79-82.
Chater. Courville. Kording. K. P.. Michel. Shultz, Steyvers. Tenenbauni. J., Yuille. A. & Grit-
lilhs {2(H)6), '.Special issue; Probabilistic models of cognition". Trends in Cognitive Science
10(7).
Chikkerur, S., Serre. T.. Tan, C. & Poggio. T. (2009), 'An integrated model of visual attention
using shape-based features', Masscichust'lis InsHtule of Technology. Cambridj>e, MA. CBCI-
paper 278 /MIT-CSAIL-TR 2009-029.
Chikkentr, S., Serre. T.. Tan, C. & Poggio, T, (2010), "What and where: A bayesian inference
theory of attention'. Vision Research In l'res.s. Corrected PrcMif.
Das. B. (2004), 'Generating conditional probabilities for bayesian networks: Easing the knowl­
edge acquisition problem', CoRR cs.Al/0411034.
Duyan. P.. Hinton, G. E., Neal, R, M. & Zemel, R. S. (1995), 'The hclmholl/ machine', Neural
Compulalion 7(5), 889-904,
De Meyer. K, & Spratling. M. W. (2009). 'A model of non-linear interactions between cortical
top-down and horizontal connections explain,s the auentional gating of collinear facilitation'.
Vision Research 49(5). 553-568.
Dean. T. (2006). Scalable inference in hierarchical generative models, in ' In the Proceedings of
the Ninth International Symposium on Artificial Intelligence and Mathematics'.
Deco, G. & Rolls, E. T. (2004), 'A neurodynamical cortical model of visual attention and in­
variant object recognition'. Vision Re.search 44(6), 621-642,
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