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人类通过灵活调整感官证据积累来战略性地改变决策偏差。

Humans strategically shift decision bias by flexibly adjusting sensory evidence accumulation.

机构信息

Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Max Planck Institute for Human Development, Berlin, Germany.

Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.

出版信息

Elife. 2019 Feb 6;8:e37321. doi: 10.7554/eLife.37321.


DOI:10.7554/eLife.37321
PMID:30724733
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6365056/
Abstract

Decision bias is traditionally conceptualized as an internal reference against which sensory evidence is compared. Instead, we show that individuals implement decision bias by shifting the rate of sensory evidence accumulation toward a decision bound. Participants performed a target detection task while we recorded EEG. We experimentally manipulated participants' decision criterion for reporting targets using different stimulus-response reward contingencies, inducing either a liberal or a conservative bias. Drift diffusion modeling revealed that a liberal strategy biased sensory evidence accumulation toward target-present choices. Moreover, a liberal bias resulted in stronger midfrontal pre-stimulus 2-6 Hz (theta) power and suppression of pre-stimulus 8-12 Hz (alpha) power in posterior cortex. Alpha suppression in turn was linked to the output activity in visual cortex, as expressed through 59-100 Hz (gamma) power. These findings show that observers can intentionally control cortical excitability to strategically bias evidence accumulation toward the decision bound that maximizes reward.

摘要

决策偏差传统上被概念化为一种内部参照,用于比较感官证据。相反,我们表明个体通过将感官证据积累的速度向决策边界转移来实施决策偏差。参与者在执行目标检测任务时,我们记录了他们的脑电图。我们通过使用不同的刺激-反应奖励关联来实验性地操纵参与者报告目标的决策标准,从而诱导出宽松或保守的偏差。漂移扩散模型表明,宽松策略会使感官证据向目标存在的选择倾斜。此外,宽松的偏差导致在前刺激期间,中前额皮层的 2-6 Hz(theta)功率增强,而后部皮层的 8-12 Hz(alpha)功率抑制。反过来,alpha 抑制与视觉皮层的输出活动有关,表现为 59-100 Hz(gamma)功率。这些发现表明,观察者可以有意控制皮质兴奋性,以战略性地将证据积累向最大化奖励的决策边界倾斜。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/926740a2cd3c/elife-37321-resp-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/aba55527ba4b/elife-37321-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/c7980bc5d000/elife-37321-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/49f9c79e1174/elife-37321-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/602416608ee5/elife-37321-fig2-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/f44e6c962e15/elife-37321-fig2-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/2b65c8e99eb0/elife-37321-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/9372303457a3/elife-37321-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/0164730526d5/elife-37321-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/658e5f19ddc7/elife-37321-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/57829fa08aab/elife-37321-fig6-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/021cb5bcb96c/elife-37321-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/8865e27fe960/elife-37321-fig7-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/fcc454e208e0/elife-37321-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/926740a2cd3c/elife-37321-resp-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/aba55527ba4b/elife-37321-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/c7980bc5d000/elife-37321-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/49f9c79e1174/elife-37321-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/602416608ee5/elife-37321-fig2-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/f44e6c962e15/elife-37321-fig2-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/2b65c8e99eb0/elife-37321-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/9372303457a3/elife-37321-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/0164730526d5/elife-37321-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/658e5f19ddc7/elife-37321-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/57829fa08aab/elife-37321-fig6-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/021cb5bcb96c/elife-37321-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/8865e27fe960/elife-37321-fig7-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/fcc454e208e0/elife-37321-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ae/6365056/926740a2cd3c/elife-37321-resp-fig1.jpg

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本文引用的文献

[1]
Choice history biases subsequent evidence accumulation.

Elife. 2019-7-2

[2]
Moment-to-Moment Fluctuations in Neuronal Excitability Bias Subjective Perception Rather than Strategic Decision-Making.

eNeuro. 2018-6-14

[3]
Neural mediators of changes of mind about perceptual decisions.

Nat Neurosci. 2018-3-12

[4]
Dynamic Interplay of Value and Sensory Information in High-Speed Decision Making.

Curr Biol. 2018-2-15

[5]
Modeling Individual Differences in the Go/No-go Task with a Diffusion Model.

Decision (Wash D C ). 2018-1

[6]
A Role for the Superior Colliculus in Decision Criteria.

Neuron. 2018-1-3

[7]
Prestimulus EEG Power Predicts Conscious Awareness But Not Objective Visual Performance.

eNeuro. 2017-12-12

[8]
How race affects evidence accumulation during the decision to shoot.

Psychon Bull Rev. 2018-8

[9]
Multiple Transient Signals in Human Visual Cortex Associated with an Elementary Decision.

J Neurosci. 2017-6-7

[10]
Repeated Measures Correlation.

Front Psychol. 2017-4-7

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