Empirically Integrating the Evidence for Different Predictive Coding Components Using Auditory False Perception

IF 3.3 2区 医学 Q1 NEUROIMAGING
Feifan Chen, Anusha Yasoda-Mohan, Colum Ó Sé, Sven Vanneste
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Abstract

Perception is a probabilistic estimation of the sensory information we receive at any given time and is shaped by an internal model generated by the brain by assimilating information over the life course. This predictive system in the brain has several components–(i) the internal model, (ii) the model-based prediction called priors, (iii) the weighted difference between the prior and sensory input called prediction error (PE) and (iv) the weighted sum of the prior and input called perceptual inference. Until now, different studies have explored the independent components of this predictive coding system, and we, for the first time to our knowledge, integrate them. To do this, we induce a conditioned hallucination (CH) illusion by means of a multisensory integration paradigm and use this as a model to study the behavioral and electrophysiological responses to this experience. Additionally, we also probe their predictive coding system using a well-established local–global auditory oddball paradigm. By comparing the behavioral and electrophysiological components of people more and less likely to perceive an illusion in the two paradigms, we observed that high perceivers place more confidence in their internal model and low perceivers in the sensory information. Furthermore, high perceivers were more sensitive than low perceivers to PEs that were generated by a change in the context of the sensory information, which served as a measure of a change in the internal model itself. As an exploratory analysis, we also observed that the objective likelihood of perceiving an illusion was corrected to the self-reported likelihood of perceiving an illusion in a day-to-day setting, which disappears when controlled for the perceptual threshold. These results taken together start to give us an idea as to how a person's innate bias—either towards a learned model or external information may—affect their perception in a sensory context.

Abstract Image

基于听觉错误感知的不同预测编码成分证据的实证整合
感知是我们在任何给定时间接收到的感官信息的概率估计,它是由大脑在整个生命过程中吸收信息而产生的内部模型塑造的。这个大脑中的预测系统有几个组成部分——(i)内部模型,(ii)基于模型的预测,称为先验,(iii)先验和感官输入之间的加权差,称为预测误差(PE), (iv)先验和输入的加权和,称为感知推理。到目前为止,不同的研究已经探索了这个预测编码系统的独立组成部分,而我们,据我们所知,第一次整合了它们。为了做到这一点,我们通过多感觉整合范式诱导条件幻觉(CH)幻觉,并将其作为模型来研究对这种体验的行为和电生理反应。此外,我们还研究了他们的预测编码系统,使用一个完善的局部-全局听觉怪异范式。通过比较两种范式中人们的行为和电生理成分,我们观察到高感知者更相信他们的内部模型,而低感知者更相信感觉信息。此外,高感知者比低感知者对感官信息上下文变化产生的pe更敏感,pe是内部模型本身变化的衡量标准。作为一项探索性分析,我们还观察到,感知错觉的客观可能性被纠正为在日常环境中感知错觉的自我报告可能性,当控制感知阈值时,这种可能性就消失了。综合这些结果,我们开始了解一个人的先天偏见——无论是对学习模型还是外部信息——是如何影响他们在感官环境中的感知的。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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