HIGHLIGHTS
- who: Juraj Mesik from the Google, United States University of Colorado Boulder have published the Article: The effects of data quantity on performance of temporal response function analyses of natural speech processing, in the Journal: (JOURNAL)
- what: An important catalyst for this work has been the popularization of regularized linear regression methods for mapping the relationship between features in the stimulus space and the brain response (Lalor and Foxe, 2010; Crosse et_al, 2016). Because the driving force behind the interest in attention decoding is innovation in hearing aid technologies, much of this work has focused . . .
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