ORCID
- Wills, Andy: 0000-0003-4803-0367
Abstract
We report the first electrophysiological investigation of the inverse base-rate effect (IBRE), a robust non-rational bias in predictive learning. In the IBRE, participants learn that one pair of symptoms (AB) predicts a frequently occurring disease, whilst an overlapping pair of symptoms (AC) predicts a rarely occurring disease. Participants subsequently infer that BC predicts the rare disease, a non-rational decision made in opposition to the underlying base rates of the two diseases. Error-driven attention theories of learning state that the IBRE occurs because C attracts more attention than B. On the basis of this account we predicted and observed the occurrence of brain potentials associated with visual attention: a posterior Selection Negativity, and a concurrent anterior Selection Positivity, for C vs. B in a post-training test phase. Error-driven attention theories further predict no Selection Negativity, Selection Positivity or IBRE, for control symptoms matched on frequency to B and C, but for which there was no shared symptom (A) during training. These predictions were also confirmed, and this confirmation discounts alternative explanations of the IBRE based on the relative novelty of B and C. Further, we observed higher response accuracy for B alone than for C alone; this dissociation of response accuracy (B>C) from attentional allocation (C>B) discounts the possibility that the observed attentional difference was caused by the difference in response accuracy.
DOI
10.1016/j.neuroimage.2013.10.060
Publication Date
2014-02-15
Publication Title
NeuroImage
Volume
87
ISSN
1053-8119
Organisational Unit
School of Psychology
Keywords
Categorization, EEG, Learning, Visual attention, Adult, Attention, Brain, Electroencephalography, Evoked Potentials, Female, Humans, Male, Young Adult
First Page
61
Last Page
71
Recommended Citation
Wills, A. J., Lavric, A., Hemmings, Y., & Surrey, E. (2014) 'Attention, predictive learning, and the inverse base-rate effect: evidence from event-related potentials.', NeuroImage, 87, pp. 61-71. Available at: https://doi.org/10.1016/j.neuroimage.2013.10.060