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  Learning Multiple Feature Representations from Natural Image Sequences

Einhäuser, W., Kayser, C., Kording, K., & König, P. (2002). Learning Multiple Feature Representations from Natural Image Sequences. In J. Dorronsoro (Ed.), Artificial Neural Networks: ICANN 2002: International Conference Madrid, Spain, August 28–30, 2002 (pp. 21-26). Berlin, Germany: Springer.

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 Creators:
Einhäuser, W, Author
Kayser, C1, Author           
Kording, KP, Author
König, P, Author
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1External Organizations, ou_persistent22              

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 Abstract: Hierarchical neural networks require the parallel extraction of multiple features. This raises the question how a subpopulation of cells can become specific to one feature and invariant to another, while a different subpopulation becomes invariant to the first but specific to the second feature. Using a colour image sequence recorded by a camera mounted to a cat’s head, we train a population of neurons to achieve optimally stable responses. We find that colour sensitive cells emerge. Adding the additional objective of decorrelating the neurons’ outputs leads a subpopulation to develop achromatic receptive fields. The colour sensitive cells tend to be non-oriented, while the achromatic cells are orientation-tuned, in accordance with physiological findings. The proposed objective thus successfully separates cells which are specific for orientation and invariant to colour from orientation invariant colour cells.

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 Dates: 2002-01
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/3-540-46084-5_4
BibTex Citekey: 2959
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Title: International Conference on Artificial Neural Networks (ICANN 2002)
Place of Event: Madrid, Spain
Start-/End Date: 2002-08-28 - 2002-08-30

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Title: Artificial Neural Networks: ICANN 2002: International Conference Madrid, Spain, August 28–30, 2002
Source Genre: Proceedings
 Creator(s):
Dorronsoro, JR, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 21 - 26 Identifier: ISBN: 978-3-540-44074-1

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Title: Lecture Notes in Computer Science
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Pages: - Volume / Issue: 2415 Sequence Number: - Start / End Page: - Identifier: -