10.5061/DRYAD.570PF8N
Nassar, Matthew R.
Brown University
Bruckner, Rasmus
Freie Universität Berlin
Frank, Michael J.
Brown University
Data from: Statistical context dictates the relationship between
feedback-related EEG signals and learning
Dryad
dataset
2019
P300
Surprise
2019-08-21T00:00:00Z
2019-08-21T00:00:00Z
en
https://doi.org/10.7554/eLife.46975
https://github.com/learning-memory-and-decision-lab/NassarBrucknerFrank_eLife_2019
20142673340 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Learning should be adjusted according to the surprise associated with
observed outcomes but calibrated according to statistical context. For
example, when occasional changepoints are expected, surprising outcomes
should be weighted heavily to speed learning. In contrast, when
uninformative outliers are expected to occur occasionally, surprising
outcomes should be less influential. Here we dissociate surprising
outcomes from the degree to which they demand learning using a predictive
inference task and computational modeling. We show that the P300, a
stimulus-locked electrophysiological response previously associated with
adjustments in learning behavior, does so conditionally on the source of
surprise. Larger P300 signals predicted greater learning in a changing
context, but less learning in a context where surprise indicated a one-off
outlier (oddball). Our results suggest that the P300 provides a surprise
signal that is interpreted by downstream learning processes differentially
according to statistical context in order to appropriately calibrate
learning across complex environments.
201_Cannon_FILT_altLow_STIM.matpreprocessed EEG data from subject
201203_Cannon_FILT_altLow_STIM.matCleaned EEG data from participant
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