Scaling prediction errors to reward variability benefits error-driven learning in humans.

The minority of participants for whom the likelihood ratio tests were not significant comprised both individuals (9/31) in whom initial learning rates did not decrease for increases in SD (see above) as well as individuals (6/31) in whom adaptation occurred but failed to reach significance, presumably because of the limited number of trials.

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