A never-ending prediction: meta-prediction, counter-oscillatory system and traumatic affordance

IF 1.9 4区 生物学 Q2 BIOLOGY
Clémence Ortega Douville
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引用次数: 0

Abstract

This article comes back on the hypothesis developed by the evolutionary theory of the sensorimotor paradox that our capacity to produce mental representation could be derived from a dissociation of sensory prediction systems from motor action. As they should be then coordinated together, we are drawing further possible leads regarding the intermediary space between linear mental projections that are not bound and stopped by sensory feedback, and ongoing sensory perception whether large or discrete. Dissociated prediction would be eventually interrupted by sensory input, getting lost, reinitiated and derived onto another prediction. In that sense, we connect this inspection with studies on attentional capture and the interference caused by sensory perception of cyclical and discrete body events such as breathing, blinking and swallowing. A global state of balance and expectation to dissociative activity, called meta-prediction, could compensate on the other hand for the lack of sensory feedback. As a representational infrastructure, its model is to be detailled, as would be the role of a system's avoidance of memories of pain, defined here by the concept of traumatic affordance, or the stabilising role of gravity. If the stochastic approach of this hypothesis is yet mostly speculative, interrogating mental imagery and language's structure, this article suggests several ways of testing the theory based on upcoming EEG recordings.
永无止境的预测:元预测、反振荡系统与创伤性提供
这篇文章回到了由感觉运动悖论的进化理论提出的假设,即我们产生心理表征的能力可能来源于感觉预测系统与运动动作的分离。由于它们应该协调在一起,我们正在绘制关于不受感官反馈约束和停止的线性心理投射与正在进行的感官知觉(无论是大的还是离散的)之间的中间空间的进一步可能的线索。分离的预测最终会被感官输入打断,丢失,重新启动,并衍生出另一个预测。从这个意义上说,我们将这种检查与注意力捕获的研究以及由周期性和离散的身体事件(如呼吸、眨眼和吞咽)的感官知觉引起的干扰联系起来。另一方面,对分离活动的整体平衡和期望状态,称为元预测,可以弥补感觉反馈的缺乏。作为一种代表性的基础设施,它的模型将被详细描述,就像系统避免痛苦记忆的作用一样,这里由创伤性提供性的概念定义,或者重力的稳定作用。如果这一假设的随机方法还主要是推测性的,询问心理意象和语言结构,这篇文章提出了几种基于即将到来的脑电图记录来测试这一理论的方法。
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
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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