Eric Larson

University of Washington, Seattle, Seattle, WA 
Auditory Neuroscience, BCI
"Eric Larson"
Mean distance: 15.06 (cluster 17)
Cross-listing: CSD Tree


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Kamal Sen grad student 2006-2011 Boston University
 (Modeling processing of complex sounds by neurons at the cortical level.)
Adrian KC Lee post-doc 2011- University of Washington
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McLaughlin SA, Larson E, Lee AKC. (2019) Neural Switch Asymmetry in Feature-Based Auditory Attention Tasks. Journal of the Association For Research in Otolaryngology : Jaro
Lee AK, Larson E, Miller CW. (2018) Effects of hearing loss on maintaining and switching attention. Acta Acustica United With Acustica : the Journal of the European Acoustics Association (Eeig). 104: 787-791
McCloy DR, Larson E, Lee AKC. (2018) Auditory attention switching with listening difficulty: Behavioral and pupillometric measures. The Journal of the Acoustical Society of America. 144: 2764
McCloy DR, Lau BK, Larson E, et al. (2017) Pupillometry shows the effort of auditory attention switching. The Journal of the Acoustical Society of America. 141: 2440
Wronkiewicz M, Larson E, Lee AK. (2016) Incorporating modern neuroscience findings to improve brain-computer interfaces: tracking auditory attention. Journal of Neural Engineering. 13: 056017
McCloy DR, Larson ED, Lau B, et al. (2016) Temporal alignment of pupillary response with stimulus events via deconvolution. The Journal of the Acoustical Society of America. 139: EL57
Wronkiewicz M, Larson E, Lee AK. (2015) Leveraging anatomical information to improve transfer learning in brain-computer interfaces. Journal of Neural Engineering. 12: 046027
Engemann D, Strohmeier D, Larson E, et al. (2015) Mind the Noise Covariance When Localizing Brain Sources with M/EEG Proceedings - 2015 International Workshop On Pattern Recognition in Neuroimaging, Prni 2015. 9-12
Larson E, Maddox RK, Lee AK. (2014) Improving spatial localization in MEG inverse imaging by leveraging intersubject anatomical differences. Frontiers in Neuroscience. 8: 330
Larson E, Lee AK. (2014) Potential Use of MEG to Understand Abnormalities in Auditory Function in Clinical Populations. Frontiers in Human Neuroscience. 8: 151
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