Show simple item record

dc.contributor.authorCervantes Constantino, Francisco
dc.contributor.authorVillafañe-Delgado, Marisel
dc.contributor.authorCamenga, Elizabeth
dc.contributor.authorDombrowski, Katya
dc.contributor.authorWalsh, Benjamin
dc.contributor.authorSimon, Jonathan Z.
dc.date.accessioned2017-07-25T21:54:29Z
dc.date.available2017-07-25T21:54:29Z
dc.date.issued2017
dc.identifierdoi:10.13016/M24T6F343
dc.identifier.urihttp://hdl.handle.net/1903/19601
dc.descriptionResearch dataset.en_US
dc.description.abstractThe spectrotemporal response function (STRF) model of neural encoding quantitatively associates dynamic auditory neural (output) responses to a spectrogram-like representation of a dynamic (input) stimulus. STRFs were experimentally obtained via whole-head human cortical responses to dynamic auditory stimuli using magnetoencephalography (MEG). The stimuli employed consisted of unpredictable pure tones presented at a range of rates. The predictive power of the estimated STRFs was found to be comparable to those obtained from the cortical single and multiunit activity literature. The STRFs were also qualitatively consistent with those obtained from electrophysiological studies in animal models; in particular their local-field-potential-generated spectral distributions and multiunit-activity-generated temporal distributions. Comparison of these MEG STRFs with others obtained using natural speech and music stimuli reveal a general structure consistent with common baseline auditory processing, including evidence for a transition in low-level neural representations of natural speech by 100 ms, when an appropriately chosen stimulus representation was used. It is also demonstrated that MEG-based STRFs contain information similar to that obtained using classic auditory evoked potential based approaches, but with extended applications to long-duration, non-repeated stimulien_US
dc.titleFunctional significance of spectrotemporal response functions obtained using magnetoencephalographyen_US
dc.typeOtheren_US
dc.relation.isAvailableAtA. James Clark School of Engineeringen_us
dc.relation.isAvailableAtElectrical & Computer Engineeringen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record