A multi-layer sparse coding network learns contour coding from natural images

An important approach in visual neuroscience considers how the function of the early visual system relates to the statistics of its natural input. Previous studies have shown how many basic properties of the primary visual cortex, such as the receptive fields of simple and complex cells and the spat...

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Veröffentlicht in:	Vision research (Oxford) Jg. 42; H. 12; S. 1593 - 1605
Hauptverfasser:	Hoyer, Patrik O, Hyvärinen, Aapo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.06.2002 Elsevier Science
Schlagworte:	Biological and medical sciences Cerebral Cortex - physiology Contours Cortex Fundamental and applied biological sciences. Psychology Humans Independent component analysis Models, Neurological Natural images Nerve Net Neural networks Neurophysiology Perception Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Vision Vision, Ocular - physiology Neural networks Contours Cortex Independent component analysis Natural images Learning Visual cortex Coding Contour Vision Central nervous system Perception Simulation model Neural network Mathematical model Brain (vertebrata)
ISSN:	0042-6989, 1878-5646
Online-Zugang:	Volltext
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