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Title:
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Analyzing dynamics and stimulus feature dependence in the information processing of crayfish sustaining fibers |
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Author:
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Rozell, Christopher John |
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Advisor:
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Johnson, Don H. |
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Degree:
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Master of Science thesis |
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Abstract:
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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. |
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Citation:
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Rozell, Christopher John. "Analyzing dynamics and stimulus feature dependence in the information processing of crayfish sustaining fibers." Masters Thesis, Rice University, ETD http://hdl.handle.net/1911/17546. |
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Citable link to this page:
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http://hdl.handle.net/1911/17546 |
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Date:
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2002 |
