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Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons

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Artificial Neural Networks — ICANN 2002 (ICANN 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2415))

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Abstract

A multi-stream extension of Exploratory Projection Pursuit is proposed as a method for the formation of local, spatiotemporal, oriented filters similar to complex cells found in the visual cortex. This algorithm, which we call the Exploratory Correlation Analysis (ECA) network, is derived to maximise dependencies between separate, but related, data streams. By altering the functions on the outputs of the ECA network we can explore different forms of shared, higher order structure in multiple data streams.

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References

  1. K. Okajima, “An information-based learning rule that generates cells similar to visual cortical neurons,” Neural Networks, no. 14, pp. 1173–1180, 2001.

    Google Scholar 

  2. C. Fyfe, “A general exploratory projection pursuit network,” Neural Processing Letters, vol. 2, no. 3, pp. 17–19, May 1995.

    Article  Google Scholar 

  3. Persi Diaconis and David Freedman, “Asymptotics of graphical projections,” The Annals of Statistics, vol. 12, no. 3, pp. 793–815, 1984.

    Article  MATH  MathSciNet  Google Scholar 

  4. E. Oja, “Neural networks, principal components and subspaces,” International Journal of Neural Systems, vol. 1, pp. 61–68, 1989.

    Article  MathSciNet  Google Scholar 

  5. Juha Karhunen and Jyrki Joutsensalo, “Representation and separation of signals using nonlinear pca type learning,” Neural Networks, vol. 7, no. 1, pp. 113–127, 1994.

    Article  Google Scholar 

  6. J. Koetsier, D. Charles, D. MacDonald, and C. Fyfe, “Exploratory correlation analysis,” ESANN 2002, to appear 2002.

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Author information

Authors and Affiliations

  1. Faculty of Informatics, University of Ulster, UK

    Darryl Charles

  2. University of Paisley, UK

    Jos Koetsier, Donald MacDonald & Colin Fyfe

Authors
  1. Darryl Charles
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  2. Jos Koetsier
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  3. Donald MacDonald
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  4. Colin Fyfe
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Editor information

Editors and Affiliations

  1. ETS Informática, Universidad Autónoma de Madrid, 28049, Madrid, Spain

    José R. Dorronsoro

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© 2002 Springer-Verlag Berlin Heidelberg

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Charles, D., Koetsier, J., MacDonald, D., Fyfe, C. (2002). Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_35

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  • DOI: https://doi.org/10.1007/3-540-46084-5_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44074-1

  • Online ISBN: 978-3-540-46084-8

  • eBook Packages: Springer Book Archive

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