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A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons84301

Watanabe,  M
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Hosoda, K., Watanabe, M., Wersing H, Koerner E, Tsujino H, Tamura, H., & Fujita, I. (2009). A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization. Neural Computation, 21(9), 2605-2633. doi:10.1162/neco.2009.03-08-722.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-C2D6-6
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