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PLoS Biology
Article . 2025 . Peer-reviewed
License: CC BY
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PLoS Biology
Article . 2025
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PubMed Central
Article . 2025
License: CC BY
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Reactivation of previous decisions repulsively biases sensory encoding but attractively biases decision-making

Authors: Minghao Luo; Huihui Zhang; Fang Fang; Huan Luo;

Reactivation of previous decisions repulsively biases sensory encoding but attractively biases decision-making

Abstract

Automatic shaping of perception by past experiences is common in many cognitive functions, reflecting the exploitation of temporal regularities in environments. A striking example is serial dependence, i.e., current perception is biased by previous trials. However, the neural implementation of its operational circle in human brains remains unclear. In two experiments with electroencephalography (EEG)/magnetoencephalography (MEG) recordings and delayed-response tasks, we demonstrate a two-stage ‘repulsive-then-attractive’ past–present interaction mechanism underlying serial dependence. First, past-trial reports, instead of past stimuli, serve as a prior to be reactivated during both encoding and decision-making. Crucially, past reactivation interacts with current information processing in a two-stage manner: repelling and attracting the present during encoding and decision-making, and arising in the sensory cortex and prefrontal cortex, respectively. Finally, while the early stage occurs automatically, the late stage is modulated by task and predicts bias behavior. These findings might also illustrate general mechanisms of past–present influences in neural operations.

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Keywords

Male, Adult, Young Adult, Decision Making, Humans, Magnetoencephalography, Prefrontal Cortex, Electroencephalography, Female, Research Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green
gold