• Dynamic EEG analysis during language comprehension reveals interactive cascades between perceptual processing and sentential expectations 

  Sarrett, McCall E.; McMurray, Bob; Kapnoula, Efthymia C. (Brain and Language, 2020)

  Understanding spoken language requires analysis of the rapidly unfolding speech signal at multiple levels: acoustic, phonological, and semantic. However, there is not yet a comprehensive picture of how these levels relate. ...
• Quality and denoising in real-time functional magnetic resonance imaging neurofeedback: A methods review 

  Heunis, Stephan; Lamerichs, Rolf; Zinger, Svitlana; Caballero-Gaudes, Cesar; Jansen, Jacobus F. A.; Aldenkamp, Bert; Breeuwer, Marcel (Human Brain Mapping, 2020)

  Neurofeedback training using real-time functional magnetic resonance imaging (rtfMRI-NF) allows subjects voluntary control of localised and distributed brain activity. It has sparked increased interest as a promising ...
• Beta-Band Activity Is a Signature of Statistical Learning 

  Bogaerts, Louisa; Richter, Craig G.; Landau, Ayelet N.; Frost, Ram (The Journal of Neuroscience, 2020)

  Through statistical learning (SL), cognitive systems may discover the underlying regularities in the environment. Testing human adults (n = 35, 21 females), we document, in the context of a classical visual SL task, ...
• Does incidental sequence learning allow us to better manage upcoming conflicting events? 

  Jiménez, Luis; Abrahamse, Elger; Méndez, Cástor; Braem, Senne (Psychological Research, 2020)

  Recent proposals emphasize the role of learning in empirical markers of conflict adaptation. Some of these proposals are rooted in the assumption that contingency learning works not only on stimulus–response events but ...

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