发作性视幻觉、推理和自由能

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Entropy Pub Date : 2024-06-28 DOI:10.3390/e26070557
Daniel Collerton, Ichiro Tsuda, Shigetoshi Nara
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引用次数: 0

摘要

对于视觉幻觉如何出现的理解受到了生成方法的极大影响,尤其是弗里斯顿的主动推理概念。他们的核心主张是,当幻觉预期超过实际感官数据时,这些现象就会出现。这种不平衡发生的原因是大脑试图最小化信息自由能,而信息自由能是一个静态开放系统中预测和实际感官数据之间距离的度量。我们根据环境因素在发作性幻觉中作用的新旧信息,对这一方法进行了回顾。我们特别强调了特定视觉触发因素与某些幻觉发作的开始和结束之间的可能关系。我们利用物理学中的相变类比来探讨可能造成真实视觉和幻觉视觉之间间歇性转换的因素。我们认为,在这些被触发的幻觉中,真实物体与对应感知之间的正常一一对应关系受到了短暂干扰,从而使这种对应关系变成了真实物体与幻觉之间的对应关系。生成模型认为,缺乏从环境到大脑的信息传递是幻觉的主要特征之一。与此相反,我们认为,在这些情况下,特定的信息传递在幻觉开始和消失时是必需的。我们认为,环境与幻觉之间这种短暂的一一对应关系更多是由异常的辨别推理而非生成推理促成的。辨别推理可被概念化为在自组织非稳态系统中最大化环境与感知之间共享信息的过程。我们认为,生成推理在幻觉的建立和个别幻觉发作的持续中发挥着更大的作用。我们还进一步探讨了热力学自由能是否可能是导致幻觉具有暂时性的另一个因素。未来的实证研究可以集中在三个方面。首先,在真实视觉和幻觉视觉之间的特定转换过程中,主观知觉的变化和大脑功能的平行变化,为幻觉发作如何发生的模型提供信息。其次,对环境与幻觉发作之间的联系进行系统研究,以探究信息传递在触发真实视觉与幻觉视觉之间转换时所起的作用。最后,研究幻觉发作随时间的变化,以阐明学习对现象学的作用。这些经验数据将有助于阐明不同形式的推理在幻觉发作阶段的潜在作用。
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Episodic Visual Hallucinations, Inference and Free Energy
Understandings of how visual hallucinations appear have been highly influenced by generative approaches, in particular Friston’s Active Inference conceptualization. Their core proposition is that these phenomena occur when hallucinatory expectations outweigh actual sensory data. This imbalance occurs as the brain seeks to minimize informational free energy, a measure of the distance between predicted and actual sensory data in a stationary open system. We review this approach in the light of old and new information on the role of environmental factors in episodic hallucinations. In particular, we highlight the possible relationship of specific visual triggers to the onset and offset of some episodes. We use an analogy from phase transitions in physics to explore factors which might account for intermittent shifts between veridical and hallucinatory vision. In these triggered forms of hallucinations, we suggest that there is a transient disturbance in the normal one-to-one correspondence between a real object and the counterpart perception such that this correspondence becomes between the real object and a hallucination. Generative models propose that a lack of information transfer from the environment to the brain is one of the key features of hallucinations. In contrast, we submit that specific information transfer is required at onset and offset in these cases. We propose that this transient one-to-one correspondence between environment and hallucination is mediated more by aberrant discriminative than by generative inference. Discriminative inference can be conceptualized as a process for maximizing shared information between the environment and perception within a self-organizing nonstationary system. We suggest that generative inference plays the greater role in established hallucinations and in the persistence of individual hallucinatory episodes. We further explore whether thermodynamic free energy may be an additional factor in why hallucinations are temporary. Future empirical research could productively concentrate on three areas. Firstly, subjective perceptual changes and parallel variations in brain function during specific transitions between veridical and hallucinatory vision to inform models of how episodes occur. Secondly, systematic investigation of the links between environment and hallucination episodes to probe the role of information transfer in triggering transitions between veridical and hallucinatory vision. Finally, changes in hallucinatory episodes over time to elucidate the role of learning on phenomenology. These empirical data will allow the potential roles of different forms of inference in the stages of hallucinatory episodes to be elucidated.
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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