摘要:
sci-hub.st 参考文章(38)
Christof Koch, Shimon Ullman, Shifts in selective visual attention: towards the underlying neural circuitry. Human neurobiology. ,vol. 4, pp. 219- 227 ,(1987) , 10.1007/978-94-009-3833-5_5
David Alais, Randolph Blake, Neural strength of visual attention gauged by motion adaptation. Nature Neuroscience. ,vol. 2, pp. 1015- 1018 ,(1999) , 10.1038/14814
Berthold K.P. Horn, Brian G. Schunck, Determining optical flow Artificial Intelligence. ,vol. 17, pp. 185- 203 ,(1981) , 10.1016/0004-3702(81)90024-2
Matthew de Brecht, Jun Saiki, A neural network implementation of a saliency map model Neural Networks. ,vol. 19, pp. 1467- 1474 ,(2006) , 10.1016/J.NEUNET.2005.12.004
Thomas Wachtler, Eizaburo Doi, Te- Won Lee, Terrence J. Sejnowski, Cone selectivity derived from the responses of the retinal cone mosaic to natural scenes. Journal of Vision. ,vol. 7, pp. 6- 6 ,(2007) , 10.1167/7.8.6
Yue-Jia Luo, P.M. Greenwood, R. Parasuraman, Dynamics of the spatial scale of visual attention revealed by brain event-related potentials Cognitive Brain Research. ,vol. 12, pp. 371- 381 ,(2001) , 10.1016/S0926-6410(01)00065-9
Aapo Hyvärinen, Erkki Oja, A fast fixed-point algorithm for independent component analysis Neural Computation. ,vol. 9, pp. 1483- 1492 ,(1997) , 10.1162/NECO.1997.9.7.1483
Todd Horowitz, Anne Treisman, Attention and apparent motion Spatial Vision. ,vol. 8, pp. 193- 219 ,(1994) , 10.1163/156856894X00332
Neil D.B. Bruce, Features that draw visual attention: an information theoretic perspective Neurocomputing. ,vol. 65, pp. 125- 133 ,(2005) , 10.1016/J.NEUCOM.2004.10.065
Laurent Itti, Pierre Baldi, Bayesian surprise attracts human attention. Vision Research. ,vol. 49, pp. 1295- 1306 ,(2009) , 10.1016/J.VISRES.2008.09.007