Analyzing Dynamics and Stimulus Feature Dependence in the Information Processing of Crayfish Sustaining Fibers
| dc.citation.bibtexName | mastersthesis | en_US |
| dc.citation.journalTitle | Masters Thesis | en_US |
| dc.citation.location | Houston, TX | en_US |
| dc.contributor.org | Center for Multimedia Communications (http://cmc.rice.edu/) | en_US |
| dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
| dc.contributor.org | CITI (http://citi.rice.edu/) | en_US |
| dc.creator | Rozell, Chris | en_US |
| dc.date.accessioned | 2007-10-31T01:03:08Z | en_US |
| dc.date.available | 2007-10-31T01:03:08Z | en_US |
| dc.date.issued | 2002-04-20 | en_US |
| dc.date.modified | 2003-07-12 | en_US |
| dc.date.submitted | 2003-07-03 | en_US |
| dc.description | Masters Thesis | en_US |
| 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. | en_US |
| dc.description.sponsorship | Texas Instruments | en_US |
| dc.description.sponsorship | National Science Foundation | en_US |
| dc.description.sponsorship | National Institute of Mental Health | en_US |
| dc.identifier.citation | "Analyzing Dynamics and Stimulus Feature Dependence in the Information Processing of Crayfish Sustaining Fibers," <i>Masters Thesis,</i> 2002. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/20305 | en_US |
| dc.language.iso | eng | en_US |
| dc.subject | Neural information processing | en_US |
| dc.subject | Spike generator efficiency | en_US |
| dc.subject.keyword | Neural information processing | en_US |
| dc.subject.keyword | Spike generator efficiency | en_US |
| dc.subject.other | Information Processing | en_US |
| dc.title | Analyzing Dynamics and Stimulus Feature Dependence in the Information Processing of Crayfish Sustaining Fibers | en_US |
| dc.type | Thesis | en_US |
| dc.type.dcmi | Text | en_US |
| thesis.degree.level | Masters | en_US |