Beta-Band Activity Is a Signature of Statistical Learning
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Date
2020Author
Bogaerts, Louisa
Richter, Craig G.
Landau, Ayelet N.
Frost, Ram
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Beta-band activity is a signature of statistical learning Louisa Bogaerts, Craig G. Richter, Ayelet N. Landau, Ram Frost Journal of Neuroscience 21 August 2020, JN-RM-0771-20; DOI: 10.1523/JNEUROSCI.0771-20.2020
Abstract
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, divergent rhythmic EEG activity
in the interstimulus delay periods within patterns versus between patterns (i.e., pattern transitions). Our findings reveal
increased oscillatory activity in the beta band (;20 Hz) at triplet transitions that indexes learning: it emerges with increased
pattern repetitions; and importantly, it is highly correlated with behavioral learning outcomes. These findings hold the promise
of converging on an online measure of learning regularities and provide important theoretical insights regarding the
mechanisms of SL and prediction