



@conference {2555,
	title = {A computational model of visual cortex receptive fields using spatio-temporal filters},
	booktitle = {Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITABProc IEEE EMBS Reg 8 Int Conf Inf Technol Appl Biomed ITAB},
	series = {ITAB-ITIS 2000},
	year = {2000},
	note = {Conference code: 58015Cited By (since 1996): 1Export Date: 21 November 2012Source: ScopusLanguage of Original Document: EnglishCorrespondence Address: Milanova, M.G.; INEB, Inst. of Biomedical Engineering, University of Porto, Pra{\c c}a Coronel Pacheco, 1 4050 Porto, Portugal; email: milanova@ineb.fe.up.ptReferences: Hubel, D.H., Wiesel, T.N., Receptive fields, binocular interaction, and functional architecture in the cat{\textquoteright}s visual cortex (1962) Journal of Physiology (London), 160, pp. 106-154;DeAngelis, G.C., Ohzawa, I., Freeman, R.D., Receptive-field dynamic in the central visual pathways (1995) Trends in Neuroscience, 18, pp. 451-458; 
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Sponsors: IEEE},
	month = {2000///},
	pages = {129 - 134},
	address = {Arlington, VA},
	abstract = {It is known that neurons in the primary visual cortex are characterized by receptive fields that are selective for specific spatial orientations. It is believed that the sense of object motion and velocity are also related to these fields, as objects in natural scenes are represented by a sparse set of statistically independent components, such as edges. Currently, computational models of receptive fields consider only spatial components, and thus cannot account for time-varying sensory stimuli. In this paper, a model based on independent components analysis and cellular neural networks is proposed. This approach extends existing models to incorporate temporal aspects of sequences of images of natural scenes.},
	keywords = {Cellular neural networks, Computational methods, ICA, Independent component analysis, Mathematical models, Neurology, Receptive fields, Receptive fields (RF), Spatial filters, Spatio-temporal filters, Visual modeling},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0034451070\&partnerID=40\&md5=f1377b4b2f2403be91a21d0feb639fb7},
	author = {Milanova, M.G. and Elmaghraby, A.S. and Wachowiak, M.P. and Campilho, A.}
}
