Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties-Reference-Cited by-同舟云学术

Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties

Published:2002 Issue: Volume: Page:81-86
ISSN:0302-9743
Container-title:Artificial Neural Networks — ICANN 2002
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Author:

Berkes Pietro,Wiskott Laurenz

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-46084-5_14

Reference13 articles.

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3. Kayser, C., Einhäuser, W., Dümmer, O., König, P., Körding, K.: Extracting slow subspaces from natura1 Videos leads to complex cells. In: Artificial Neural Networks-ICANN 2001 Proceedings, Springer (2001) 1075–1080

4. Wiskott, L., Sejnowski, T.: Slow feature analysis: Unsupervised learning of invariarnces. Neural Computation 14 (2002) 715–770

5. Wiskott, L.: Learning invariance manifolds. In: Proc. Computational Neuro-science Meeting, CNS’98, Santa Barbara. (1999) Special issue of Neurocomputing, 26/27:925–932.

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