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Examining methods for estimating mutual information in spiking neural systems

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Title: Examining methods for estimating mutual information in spiking neural systems
Author: Rozell, Chris; Johnson, Don
Type: Journal Paper
Keywords: mutual information; neural coding; information theory
Citation: C. Rozell and D. Johnson, "Examining methods for estimating mutual information in spiking neural systems," Neurocomputing, vol. 65-66C, pp. 429-434, 2005.
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.
Date Published: 2005-06-01

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  • ECE Publications [1043 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.