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Analyzing Dynamics and Stimulus Feature Dependence in the Information Processing of Crayfish Sustaining Fibers

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dc.contributor.author Rozell, Chris
dc.creator Rozell, Chris
dc.date.accessioned 2007-10-31T01:03:08Z
dc.date.available 2007-10-31T01:03:08Z
dc.date.issued 2002-04-20
dc.date.submitted 2003-07-03
dc.identifier.uri http://hdl.handle.net/1911/20305
dc.description Masters Thesis
dc.description.abstract The sustaining fiber (SF) stage of the crayfish visual system converts analog stimulus representations to spike train signals. A recent theory quantifies a system's information processing capabilities and relates to statistical signal processing. To analyze SF responses to light stimuli, we extend a wavelet-based algorithm for separating analog input signals and spike output waveforms in composite intracellular recordings. We also present a time-varying RC circuit model to capture nonstationary membrane noise spectral characteristics. In our SF anlysis, information transfer ratios are generally on the order of (10<sup>-4</sup>). The SF information processing dynamics show transient peaks followed by decay to steady-state values. A simple theoretical spike generator is analyzed analytically and shows general dynamic and steady-state properties similar to SFs. The information transfer ratios increase with spike rate and dynamic properties are due to direct spike generator dependence on input changes.
dc.description.sponsorship Texas Instruments
dc.description.sponsorship National Science Foundation
dc.description.sponsorship National Institute of Mental Health
dc.subject Neural information processing
Spike generator efficiency
dc.subject.other Information Processing
dc.title Analyzing Dynamics and Stimulus Feature Dependence in the Information Processing of Crayfish Sustaining Fibers
dc.type Masters Thesis
dc.citation.bibtexName mastersthesis
dc.citation.journalTitle Masters Thesis
dc.date.modified 2003-07-12
dc.contributor.center Center for Multimedia Communications (http://cmc.rice.edu/)
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.contributor.center CITI (http://citi.rice.edu/)
dc.subject.keyword Neural information processing
Spike generator efficiency
dc.citation.location Houston, TX
dc.identifier.citation C. Rozell, "Analyzing Dynamics and Stimulus Feature Dependence in the Information Processing of Crayfish Sustaining Fibers," Masters Thesis, 2002.
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  • ECE Publications [1028 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [512 items]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • CMC Publications [272 items]
    Publications by Rice Faculty and graduate students in multimedia communications