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<p>This review addresses theneurophysiological correlates of the implicit component of cognitive biases in perception and decision-making processes. The leading methodological algorithm for analyzing the implicit component of cognitive biases is defined and its selection is substantiated in terms of the objectives of this review. The method based on recording of event-related potentials (ERP) was chosen as the main approach to identifying neurophysiological indicators of implicit processes. Analysis of published data identified ERP components reproduced in studies reported by different authors addressing different types of implicit bias in perception and decision-making in humans, which may point to the existence of common neurophysiological mechanisms associated with implicit processes of bias in cognitive biases. The review also discusses the prospects of using other approaches to analyzing EEG data to obtain new information regarding the phenomenon of implicit bias in decision-making.</p>

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Review of Experience in the Use of Event-Related Potentials in Studies of the Implicit Component of Cognitive Biases

  • 期刊论文

  • 发表日期：

    2025年1月1日

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  • M. V. Yatsenko,
  • I. V. Brak,
  • E. D. Artemenko

摘要

This review addresses theneurophysiological correlates of the implicit component of cognitive biases in perception and decision-making processes. The leading methodological algorithm for analyzing the implicit component of cognitive biases is defined and its selection is substantiated in terms of the objectives of this review. The method based on recording of event-related potentials (ERP) was chosen as the main approach to identifying neurophysiological indicators of implicit processes. Analysis of published data identified ERP components reproduced in studies reported by different authors addressing different types of implicit bias in perception and decision-making in humans, which may point to the existence of common neurophysiological mechanisms associated with implicit processes of bias in cognitive biases. The review also discusses the prospects of using other approaches to analyzing EEG data to obtain new information regarding the phenomenon of implicit bias in decision-making.