» Articles » PMID: 34826165

Neural Correlates of the Inverse Base Rate Effect

Overview
Journal Hum Brain Mapp
Publisher Wiley
Specialty Neurology
Date 2021 Nov 26
PMID 34826165
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

The inverse base rate effect (IBRE) is a nonrational behavioral phenomenon in predictive learning. Canonically, participants learn that the AB stimulus compound leads to one outcome and that AC leads to another outcome, with AB being presented three times as often as AC. When subsequently presented with BC, the outcome associated with AC is preferentially selected, in opposition to the underlying base rates of the outcomes. The current leading explanation is based on error-driven learning. A key component of this account is prediction error, a concept previously linked to a number of brain areas including the anterior cingulate, the striatum, and the dorsolateral prefrontal cortex. The present work is the first fMRI study to directly examine the IBRE. Activations were noted in brain areas linked to prediction error, including the caudate body, the anterior cingulate, the ventromedial prefrontal cortex, and the right dorsolateral prefrontal cortex. Analyzing the difference in activations for singular key stimuli (B and C), as well as frequency matched controls, supports the predictions made by the error-driven learning account.

Citing Articles

Better generalization through distraction? Concurrent load reduces the size of the inverse base-rate effect.

Dome L, Wills A Psychon Bull Rev. 2025; .

PMID: 40000598 DOI: 10.3758/s13423-025-02661-1.


Comprehensive investigation of predictive processing: A cross- and within-cognitive domains fMRI meta-analytic approach.

Costa C, Pezzetta R, Masina F, Lago S, Gastaldon S, Frangi C Hum Brain Mapp. 2024; 45(12):e26817.

PMID: 39169641 PMC: 11339134. DOI: 10.1002/hbm.26817.


Neural correlates of the inverse base rate effect.

Inkster A, Milton F, Edmunds C, Benattayallah A, Wills A Hum Brain Mapp. 2021; 43(4):1370-1380.

PMID: 34826165 PMC: 8837595. DOI: 10.1002/hbm.25729.

References
1.
Nomura E, Maddox W, Filoteo J, Ing A, Gitelman D, Parrish T . Neural correlates of rule-based and information-integration visual category learning. Cereb Cortex. 2006; 17(1):37-43. DOI: 10.1093/cercor/bhj122. View

2.
Medin D, Edelson S . Problem structure and the use of base-rate information from experience. J Exp Psychol Gen. 1988; 117(1):68-85. DOI: 10.1037//0096-3445.117.1.68. View

3.
Dienes Z . Bayesian Versus Orthodox Statistics: Which Side Are You On?. Perspect Psychol Sci. 2015; 6(3):274-90. DOI: 10.1177/1745691611406920. View

4.
Badre D, DEsposito M . Functional magnetic resonance imaging evidence for a hierarchical organization of the prefrontal cortex. J Cogn Neurosci. 2007; 19(12):2082-99. DOI: 10.1162/jocn.2007.19.12.2082. View

5.
Binder A, Estes W . Transfer of response in visual recognition situations as a function of frequency variables. Psychol Monogr. 1966; 80(23):1-26. DOI: 10.1037/h0093941. View