Characterising the role of awareness in ensemble perception.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2024-07-01 Epub Date: 2024-04-25 DOI:10.1037/xhp0001201
Patxi Elosegi, Ning Mei, David Soto
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引用次数: 0

Abstract

Ensemble representations are efficient codes that the brain generates effortlessly even under noisy conditions. However, the role of visual awareness for computing ensemble representations remains unclear. We present two psychophysical experiments (N = 15 × 2) using a bias-free paradigm to investigate the contribution of conscious and unconscious processing to ensemble perception. Here, we show that ensemble perception can unfold without awareness of the relevant features that define the ensemble. Computational modeling of the type-1 and type-2 drift-rates further suggest that awareness lags well behind the categorization processes that support ensemble perception. Additional evidence indicates that the dissociation between type-1 from type-2 sensitivity, was not driven by the type-2 inefficiency or a systematic disadvantage in type-2 decision making. The present study demonstrates the utility of robust measures for studying the role of visual consciousness and metacognition in stimuli and tasks of increasing complexity, crucially, without underestimating the contribution of unconscious processing in an otherwise visible stimulus. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

描述意识在集合感知中的作用。
集合表征是大脑即使在嘈杂条件下也能毫不费力地生成的高效代码。然而,视觉意识在计算集合表征中的作用仍不清楚。我们展示了两个心理物理实验(N = 15 × 2),使用无偏差范式来研究有意识和无意识处理对集合感知的贡献。在这里,我们证明了集合感知可以在没有意识到定义集合的相关特征的情况下展开。对第一类和第二类漂移率的计算建模进一步表明,意识远远落后于支持集合感知的分类过程。更多证据表明,第一类与第二类敏感性之间的差异并非由第二类的低效率或第二类决策的系统性劣势所驱动。本研究表明,在研究视觉意识和元认知在日益复杂的刺激和任务中的作用时,稳健的测量方法非常有用,关键是不会低估无意识处理在其他可见刺激中的贡献。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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