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Conference Paper

Extracting slow subspaces from natural videos leads to complex cells

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Kayser, C
Research Group Physiology of Sensory Integration, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Kayser, C., Einhäuser W, Dümmer O, König, P., & Körding, K. (2001). Extracting slow subspaces from natural videos leads to complex cells. Artficial Neural Networks: ICANN 2001, 1075-1080.

Abstract

Natural videos obtained from a camera mounted on a catś head are used as stimuli for a network of subspace energy detectors. The network is trained by gradient ascent on an objective function defined by the squared temporal derivatives of the cells’ outputs. The resulting receptive fields are invariant to both contrast polarity and translation and thus resemble complex type receptive fields.