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Research Article

Neural Coding of Natural Stimuli: Information at Sub-Millisecond Resolution

  • Ilya Nemenman mail,

    nemenman@lanl.gov

    Affiliation: Computer, Computational, and Statistical Sciences Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America

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  • Geoffrey D. Lewen,

    Affiliation: The Hun School of Princeton, Princeton, New Jersey, United States of America

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  • William Bialek,

    Affiliations: Joseph Henry Laboratories of Physics, Princeton University, Princeton, New Jersey, United States of America, Lewis–Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America

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  • Rob R. de Ruyter van Steveninck

    Affiliation: Department of Physics, Indiana University, Bloomington, Indiana, United States of America

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  • Published: March 07, 2008
  • DOI: 10.1371/journal.pcbi.1000025

About the Authors

Ilya Nemenman
Computer, Computational, and Statistical Sciences Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
Geoffrey D. Lewen
The Hun School of Princeton, Princeton, New Jersey, United States of America
William Bialek
Joseph Henry Laboratories of Physics, Princeton University, Princeton, New Jersey, United States of America
William Bialek
Lewis–Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
Rob R. de Ruyter van Steveninck
Department of Physics, Indiana University, Bloomington, Indiana, United States of America

Corresponding Author

Email: nemenman@lanl.gov

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

The theoretical ideas and experimental methods presented in this paper were developed in close collaboration. IN and WB focused on developing the conceptual framework, implementing statistical tools, and analyzing the data. GL and RR designed the setup and performed the experiments.