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dc.contributor.advisor Johnson, Don H.
dc.creatorYue, Lin
dc.date.accessioned 2009-06-04T00:13:18Z
dc.date.available 2009-06-04T00:13:18Z
dc.date.issued 1995
dc.identifier.urihttps://hdl.handle.net/1911/14012
dc.description.abstract In localizing high-frequency tonal signals in the horizontal plane, the lateral superior olive (LSO) encodes the interaural level differences (ILD), the crucial cue for azimuthal angle extraction at some nuclei more central than LSO in the binaural pathway. The current work focuses on optimal processing at higher center(s), with inputs from LSO and anteroventral cochlear nucleus (AVCN). Besides Poisson processes, non-Poisson point processes are developed to model these cell responses more accurately. The LSO projection (if available), is shown to be the only input used in maximum likelihood angle estimation, and it is processed similarly under different models of LSO responses. However, localization performance depends strongly on the model's regularity. A more regular process, consistent with LSO chopping responses, improves localization accuracy and precision. Temporal integration in lower nuclei and neuron ensemble processing are both helpful to binaural localization at this stage.
dc.format.extent 81 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectElectronics
Electrical engineering
Neurosciences
Statistics
dc.title Optimal binaural processing based on point process models of preprocessed cues
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Statistics
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Arts
dc.identifier.citation Yue, Lin. "Optimal binaural processing based on point process models of preprocessed cues." (1995) Master’s Thesis, Rice University. https://hdl.handle.net/1911/14012.


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