{"_id":"tYj6ATTuPMsW7Basb","bibbaseid":"rozell-analyzingdynamicsandstimulusfeaturedependenceintheinformationprocessingofcrayfishsustainingfibers-2002","downloads":0,"creationDate":"2015-09-03T15:44:00.106Z","title":"Analyzing dynamics and stimulus feature dependence in the information processing of crayfish sustaining fibers","author_short":["Rozell, C."],"year":2002,"bibtype":"mastersthesis","biburl":"http://siplab.gatech.edu/preview_bibbase/testsedoutb.bib","bibdata":{"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.","address":"Houston, TX","author":["Rozell, C.J."],"author_short":["Rozell, C."],"bibtex":"@mastersthesis{ rozell.02,\n author = {Rozell, C.J.},\n title = {Analyzing dynamics and stimulus feature dependence in the information processing of crayfish sustaining fibers},\n school = {Rice University},\n year = {2002},\n address = {Houston, TX},\n month = {May},\n abstract = {The sustaining fiber (SF) stage of the crayfish\n\t visual system converts analog stimulus representations to spike train\n\t signals. A recent theory quantifies a system's information processing\n\t capabilities and relates to statistical signal processing. To analyze\n\t SF responses to light stimuli, we extend a wavelet-based algorithm\n\t for separating analog input signals and spike output waveforms in\n\t composite intracellular recordings. We also present a time-varying\n\t RC circuit model to capture nonstationary membrane noise spectral\n\t characteristics. In our SF analysis, information transfer ratios are\n\t generally on the order of $10^{-4}$. The SF information processing\n\t dynamics show transient peaks followed by decay to steady-state values.\n\t A simple theoretical spike generator is analyzed analytically and\n\t shows general dynamic and steady-state properties similar to SFs. The\n\t information transfer ratios increase with spike rate and dynamic\n\t properties are due to direct spike generator dependence on input changes.},\n url = {http://users.ece.gatech.edu/~crozell/pubs/rozellMS2002.pdf}\n}","bibtype":"mastersthesis","id":"rozell.02","key":"rozell.02","month":"May","school":"Rice University","title":"Analyzing dynamics and stimulus feature dependence in the information processing of crayfish sustaining fibers","type":"mastersthesis","url":"http://users.ece.gatech.edu/~crozell/pubs/rozellMS2002.pdf","year":"2002","bibbaseid":"rozell-analyzingdynamicsandstimulusfeaturedependenceintheinformationprocessingofcrayfishsustainingfibers-2002","role":"author","urls":{"Paper":"http://users.ece.gatech.edu/~crozell/pubs/rozellMS2002.pdf"},"downloads":0,"html":""},"search_terms":["analyzing","dynamics","stimulus","feature","dependence","information","processing","crayfish","sustaining","fibers","rozell"],"keywords":[],"authorIDs":["55b126e8a73e982a27000478"],"dataSources":["sh4Eqtm6QaJiGLr5Q"]}