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    Examining methods for estimating mutual information in spiking neural systems

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    Author
    Rozell, Chris; Johnson, Don
    Date
    2005-06-01
    Abstract
    Mutual information enjoys wide use in the computational neuroscience community for analyzing spiking neural systems. Its direct calculation is difficult because estimating the joint stimulus-response distribution requires a prohibitive amount of data. Consequently, several techniques have appeared for bounding mutual information that rely on less data. We examine two upper bound techniques and find that they are unreliable and can introduce strong assumptions about the neural code. We also examine two lower bounds, showing that they can be very loose and possibly bear little relation to the mutual information's actual value.
    Description
    Journal Paper
    Citation
    C. Rozell and D. Johnson, "Examining methods for estimating mutual information in spiking neural systems," Neurocomputing, vol. 65-66C, 2005.
    Published Version
    http://dx.doi.org/10.1016/j.neucom.2004.10.042
    Keyword
    mutual information; neural coding; information theory; Information Processing; mutual information; More... neural coding; information theory Less...
    Type
    Journal article
    Citable link to this page
    https://hdl.handle.net/1911/20307
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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map