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

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.

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Hosoda, K, Author
Watanabe, M1, Author           
Wersing H, Koerner E, Tsujino H, Tamura, H, Author
Fujita, I, Author
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

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 Dates: 2009-09
 Publication Status: Issued
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Title: Neural Computation
Source Genre: Journal
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Pages: - Volume / Issue: 21 (9) Sequence Number: - Start / End Page: 2605 - 2633 Identifier: -