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Research Article

Second Order Dimensionality Reduction Using Minimum and Maximum Mutual Information Models

  • Jeffrey D. Fitzgerald,

    Affiliations: Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, United States of America, Center for Theoretical Biological Physics and Department of Physics, University of California, San Diego, California, United States of America

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  • Ryan J. Rowekamp,

    Affiliations: Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, United States of America, Center for Theoretical Biological Physics and Department of Physics, University of California, San Diego, California, United States of America

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  • Lawrence C. Sincich,

    Affiliation: Department of Vision Sciences, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

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  • Tatyana O. Sharpee mail

    sharpee@salk.edu

    Affiliations: Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, United States of America, Center for Theoretical Biological Physics and Department of Physics, University of California, San Diego, California, United States of America

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  • Published: October 27, 2011
  • DOI: 10.1371/journal.pcbi.1002249

About the Authors

Jeffrey D. Fitzgerald, Ryan J. Rowekamp, Tatyana O. Sharpee
Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, United States of America
Jeffrey D. Fitzgerald, Ryan J. Rowekamp, Tatyana O. Sharpee
Center for Theoretical Biological Physics and Department of Physics, University of California, San Diego, California, United States of America
Lawrence C. Sincich
Department of Vision Sciences, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

Corresponding Author

Email: sharpee@salk.edu

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: JDF RJR LCS TOS. Performed the experiments: LCS. Analyzed the data: JDF RJR LCS TOS. Wrote the paper: JDF RJR LCS TOS.