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一种感觉运动关联的预测加工理论:解释联觉中知觉存在和缺失的难题。

A predictive processing theory of sensorimotor contingencies: Explaining the puzzle of perceptual presence and its absence in synesthesia.

机构信息

a Sackler Centre for Consciousness Science, School of Engineering and Informatics , University of Sussex , Brighton , UK.

出版信息

Cogn Neurosci. 2014;5(2):97-118. doi: 10.1080/17588928.2013.877880. Epub 2014 Jan 21.

Abstract

Normal perception involves experiencing objects within perceptual scenes as real, as existing in the world. This property of "perceptual presence" has motivated "sensorimotor theories" which understand perception to involve the mastery of sensorimotor contingencies. However, the mechanistic basis of sensorimotor contingencies and their mastery has remained unclear. Sensorimotor theory also struggles to explain instances of perception, such as synesthesia, that appear to lack perceptual presence and for which relevant sensorimotor contingencies are difficult to identify. On alternative "predictive processing" theories, perceptual content emerges from probabilistic inference on the external causes of sensory signals, however, this view has addressed neither the problem of perceptual presence nor synesthesia. Here, I describe a theory of predictive perception of sensorimotor contingencies which (1) accounts for perceptual presence in normal perception, as well as its absence in synesthesia, and (2) operationalizes the notion of sensorimotor contingencies and their mastery. The core idea is that generative models underlying perception incorporate explicitly counterfactual elements related to how sensory inputs would change on the basis of a broad repertoire of possible actions, even if those actions are not performed. These "counterfactually-rich" generative models encode sensorimotor contingencies related to repertoires of sensorimotor dependencies, with counterfactual richness determining the degree of perceptual presence associated with a stimulus. While the generative models underlying normal perception are typically counterfactually rich (reflecting a large repertoire of possible sensorimotor dependencies), those underlying synesthetic concurrents are hypothesized to be counterfactually poor. In addition to accounting for the phenomenology of synesthesia, the theory naturally accommodates phenomenological differences between a range of experiential states including dreaming, hallucination, and the like. It may also lead to a new view of the (in)determinacy of normal perception.

摘要

正常知觉涉及将知觉场景中的物体体验为真实的,存在于世界中。这种“知觉存在”的属性激发了“感觉运动理论”,该理论认为知觉涉及对感觉运动关联的掌握。然而,感觉运动关联及其掌握的机械基础仍然不清楚。感觉运动理论也难以解释某些知觉现象,例如联觉,这些现象似乎缺乏知觉存在,并且难以确定相关的感觉运动关联。在替代的“预测处理”理论中,知觉内容源自对感觉信号外部原因的概率推理,然而,这种观点既没有解决知觉存在的问题,也没有解决联觉问题。在这里,我描述了一种预测感觉运动关联知觉的理论,该理论(1)解释了正常知觉中的知觉存在,以及联觉中的知觉不存在,(2)实现了感觉运动关联及其掌握的概念。核心思想是,知觉的生成模型明确包含了与基于广泛的可能动作的感知输入如何变化相关的反事实元素,即使这些动作没有执行。这些“反事实丰富”的生成模型编码了与动作-感知依赖的广泛模式相关的感觉运动关联,反事实丰富度决定了与刺激相关的知觉存在程度。虽然正常知觉的生成模型通常是反事实丰富的(反映了大量可能的动作-感知依赖模式),但假设联觉并发的生成模型是反事实贫瘠的。除了解释联觉的现象学之外,该理论还自然地适应了包括做梦、幻觉等一系列体验状态的现象学差异。它也可能导致对正常知觉的(不确定)性的新观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3ad/4037840/df157fa0b5e2/pcns5_97_f1.jpg

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