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dc.contributor.authorRozell, Chris
Johnson, Don
dc.creatorRozell, Chris
Johnson, Don
dc.date.accessioned 2007-10-31T01:03:13Z
dc.date.available 2007-10-31T01:03:13Z
dc.date.issued 2005-06-01
dc.date.submitted 2004-04-27
dc.identifier.citation C. Rozell and D. Johnson, "Examining methods for estimating mutual information in spiking neural systems," Neurocomputing, vol. 65-66C, 2005.
dc.identifier.urihttps://hdl.handle.net/1911/20307
dc.description Journal Paper
dc.description.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.
dc.language.iso eng
dc.subjectmutual information
neural coding
information theory
dc.subject.otherInformation Processing
dc.title Examining methods for estimating mutual information in spiking neural systems
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle Neurocomputing
dc.date.modified 2005-07-06
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.contributor.orgCITI (http://citi.rice.edu/)
dc.subject.keywordmutual information
neural coding
information theory
dc.citation.volumeNumber 65-66C
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1016/j.neucom.2004.10.042
dc.citation.firstpage 429
dc.citation.lastpage 434


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    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1397]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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