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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students in accordance with the Rensselaer Standard license. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorXiang, Ning
dc.contributorKrueger, Ted (Theodore Edward), 1954-
dc.contributorJi, Qiang, 1963-
dc.contributorCariani, Peter
dc.contributorZhou, Yi
dc.contributor.advisorBraasch, Jonas
dc.contributor.authorDahlbom, David Adam
dc.date.accessioned2022-09-15T16:11:58Z
dc.date.available2022-09-15T16:11:58Z
dc.date.issued2021-12
dc.identifier.urihttps://hdl.handle.net/20.500.13015/6131
dc.descriptionDecember 2021
dc.descriptionSchool of Architecture
dc.description.abstractTwo studies are presented that relate psychoacoustic phenomena to neural coding mechanisms. The first describes a new method for estimating pitch from an autocorrelation-like representation of an auditory signal. Specifically, the autocorrelation representation is subjected to a smoothing operation before pitch estimation. This modification enables prediction of the pitch of a stimulus with a mistuned harmonic, a phenomenon that had previously presented a challenge to autocorrelation-based approaches. The resulting model retains the ability to predict many other pitch phenomena. A testable physiological mechanism is proposed that may underlie the pitch shift of a mistuned harmonic complex. This mechanism relies on the dynamics of synchrony-enhancing neurons in the cochlear nucleus, and it is demonstrated that a model of such a neuron, when responding to nearly harmonic stimuli, produces interspike intervals that dilate or contract in a manner that is qualitatively consistent with the pitch shift. The second study concerns the contribution of onset transients to the perception of timbre. It is proposed that information about stimulus onsets is encoded in the precise volley patterns of cortical onset responses. To test this idea, a model of the auditory periphery is fed into a reservoir of spiking neurons that has been designed to capture several important characteristics of a local cortical circuit: realistic spiking dynamics, conduction delays, a rich collection of recurrent connections, and synapses that adapt according to spike-timing-dependent plasticity. Correlational analysis of the model’s responses demonstrates that precise spike patterns corresponding to particular stimulus categories do develop, and spike-timing-dependent plasticity reinforces these patterns. A latency classifier that operates on this information is constructed, and its performance is evaluated against a related study. The spike pattern approach is seen to be more informative in many cases than previously published results. The generalization ability of the classifier is tested, and the results indicate that it is capable of generalizing well on new stimuli provided that onset characteristics are not disturbed. Finally, it is shown that the classifier relies on precise spike patterns rather than overall firing rates.
dc.languageENG
dc.language.isoen_US
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectArchitecture
dc.titleSpike-encoding of auditory stimuli : modeling studies of pitch and timbre
dc.typeElectronic thesis
dc.typeThesis
dc.date.updated2022-09-15T16:12:01Z
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute (RPI), Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentSchool of Architecture


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