Brain signatures of a multiscale process of sequence learning in humans


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Category: Data

Description: Extracting the temporal structure of sequences of events is crucial for perception, decision- making, and language processing. Here, we investigate the mechanisms by which the brain acquires knowledge of sequences and the possibility that successive brain responses reflect the progressive extraction of sequence statistics at different timescales. We measured brain activity using magnetoencephalography in humans exposed to auditory sequences with various statistical regularities and we modeled this activity as theoretical surprise levels using several learning models. Successive brain waves related to different types of statistical inferences. Early post-stimulus brain waves denoted a sensitivity to a simple statistic, the frequency of items estimated over a long timescale (habituation). Mid-latency and late brain waves conformed qualitatively and quantitatively to the computational properties of a more complex inference: the learning of recent transition probabilities. Our findings thus support the existence of multiple computational systems for sequence processing involving statistical inferences at multiple scales.

License: CC-By Attribution 4.0 International


Read me Acquisition \ Acquisition done in NeuroSpin (CEA, INSERM):\ Commissariat à l’énergie atomique et aux énergies alternatives\ Centre de Saclay\ Bâtiment 145 – P.C. 156\ 91191 Gif-sur-Yvette Cedex\ France\ \ MEG setup:\ - Elekta Neuromag 306, with...\ - 102 MEG magnetometers (MEGXXX1 sensors),\ - 204 MEG gradiometers (MEGXXX2/MEGXXX3 sensors).\ \ Acquisition se...


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