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dc.contributor.advisor Johnson, Don H.
dc.creatorRozell, Christopher John
dc.date.accessioned 2009-06-04T08:14:55Z
dc.date.available 2009-06-04T08:14:55Z
dc.date.issued 2002
dc.identifier.urihttps://hdl.handle.net/1911/17546
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 analysis, information transfer ratios are generally on the order of 10-4. 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.format.extent 93 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectNeurosciences
Electronics
Electrical engineering
dc.title Analyzing dynamics and stimulus feature dependence in the information processing of crayfish sustaining fibers
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Bioengineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science
dc.identifier.citation Rozell, Christopher John. "Analyzing dynamics and stimulus feature dependence in the information processing of crayfish sustaining fibers." (2002) Master’s Thesis, Rice University. https://hdl.handle.net/1911/17546.


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