多稳态的感觉

A. Pastukhov
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引用次数: 2

摘要

多稳态知觉是由与两种或两种以上不同的比较可能的知觉解释相一致的刺激产生的。在最初的感知被一种解释所解决后,继续观看会导致主观体验的波动,因为感知会自发地在不同的状态之间切换。多稳态感知发生于不同的模式,包括视觉、听觉、触觉、嗅觉和本体感受,以及各种相互冲突的感觉表征,如眼睛主导、深度、运动或意义。尽管存在巨大差异,但多稳定刺激在数量上产生相似的感知体验,包括优势阶段持续时间的刻板分布、对竞争感知解释的绝对和相对强度的相似依赖、先前的感知历史、呈现方法、注意和意志控制等。综上所述,这表明多稳定感知反映了一般规范感知机制的作用,其目的是解决相互矛盾的证据,并确保可以用于行动的单一主导感知。因此,它告诉我们知觉决策的机制,包括反馈机制在解决知觉模糊中的重要性,以及顶叶和额叶区域在促进知觉变化中的作用。多稳定感知为模型提供了有用的约束,激发了大量的感知模型,这些模型结合了神经似是而非的机制,如神经适应和抑制,或者基于预测编码的想法。多稳态感知的敏感性使其成为一种有价值的实验工具,可以揭示由于低或高影响(包括遗传或临床病例)而产生的微小差异。因此,它是研究意识的神经和行为相关性的重要工具,因为它将感知与刺激分离开来。
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Multistable Perception
Multistable perception is produced by stimuli that are consistent with two or more different comparably likely perceptual interpretations. After the initial perception is resolved in favor of one of the interpretations, continued viewing leads to fluctuating subjective experience, as perception spontaneously switches between alternative states. Multistable perception occurs for different modalities, including visual, auditory, tactile, olfactory perception and proprioception, and various conflicting sensory representations, such as eye dominance, depth, motion, or meaning. Despite large differences, multistable stimuli produce quantitatively similar perceptual experience with stereotypical distribution of durations of dominance phases, similar dependence on the absolute and relative strength of competing perceptual interpretations, prior perceptual history, presentation method, attention, and volitional control, and so on. Taken together, this shows that multistable perception reflects the action of general canonical perceptual mechanisms whose purpose is to resolve the conflicting evidence and ensure a single dominant perception that can be used for action. Thus, it informs us about mechanisms of perceptual decision making, including the importance of feedback mechanisms in resolving perceptual ambiguity and the role of parietal and frontal regions in facilitating changes in perception. Multistable perception provides useful constraints for models, inspiring a plethora of models of perception that combine neurally plausible mechanisms, such as neural adaptation and inhibition, or are based on the idea of predictive coding. The sensitive nature of multistable perception makes a valuable experimental tool that can reveal even minor differences due to low- or high-level influences, including genetic or clinical cases. As such, it is an important tool in studying neural and behavioral correlates of consciousness as it dissociates perception from the stimulus.
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