Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise

dc.contributor.advisorSimon, Jonathan
dc.contributor.advisorBabadi, Behtash
dc.contributor.authorPresacco, Alessandro
dc.contributor.authorMiran, Sina
dc.contributor.authorFu, Michael
dc.contributor.authorMarcus, Steven
dc.date.accessioned2020-08-03T08:55:47Z
dc.date.available2020-08-03T08:55:47Z
dc.date.issued2020-08-02
dc.descriptionExperiment Description: MEG signals recorded in a magnetically sheilded room from a whole-head recording system with 157 channels. Initial sampling resolution: 1000 Hz Downsampling rate: 5 (downsamples to 200 Hz) - Attention Switch: Two speakers peresented monaurally (7 subjects). Listeners attenended to one of the speakers for 0-28 s and switched to the other speaker for 30-60 s. (a pause presented at 28-30 s as a switching cue) 5. 2-speakers (Sp1+Sp2, Sp1 attended from 0-28 s, Sp2 attended from 30-60s) 6. 2-speakers (Sp1+Sp2, Sp2 attended from 0-28 s, Sp1 attended from 30-60s) Folders: - Speech: original audio files - MEG:Neural data Data Structure: - data_DSSDomain: Data in DSS domain time (1 min) * DSS channels * trials - data_DSSed: Clean data projected back into the sensor domain time (1 min) * sensor channels * trialsen_US
dc.description.abstractMEG data used for the "Switching attention" experiment. This set of data refers to the part of the "forced" switching of attentionen_US
dc.description.sponsorshipDefense Advanced Research Projects 736 Agency (DARPA) under cooperative agreement number N660011824024en_US
dc.identifierhttps://doi.org/10.13016/rqvl-apnu
dc.identifier.citation"Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise", PLOS Computational Biology (2020), in pressen_US
dc.identifier.urihttp://hdl.handle.net/1903/26352
dc.language.isoenen_US
dc.publisherPLOS Computational Biologyen_US
dc.relation.isAvailableAtInstitute for Systems Researchen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectMEGen_US
dc.subjectDynamic switching of attentionen_US
dc.subjectState-Space Modelen_US
dc.titleDynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noiseen_US
dc.typeArticleen_US

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Data referring to the part of the "forced" switching of attention