超越神经元和尖峰:cognon,层次动态的思维单位

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES Cognitive Neurodynamics Pub Date : 2024-12-01 Epub Date: 2023-07-11 DOI:10.1007/s11571-023-09987-3
Mikhail Rabinovich, Christian Bick, Pablo Varona
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引用次数: 0

摘要

从动力学的角度来看,大多数认知现象是分层的、短暂的和顺序的。这样的认知时空过程可以用一系列连续的亚稳动态状态及其相关的过渡来表示:在快速过渡到另一个亚稳状态之前,状态是接近一个亚稳状态的准平稳状态。因此,我们假设亚稳态是认知信息处理的核心参与者。基于准粒子作为物理学基本单位的类比,我们引入了认知信息动力学的量子,我们称之为“认知”。一个认知或思想的动态单位,由一个稳定的有限神经状态链表示。Cognons可以在多个层次上组织,并协调复杂的认知信息表示。由于同源词是一种抽象的概念化,我们将这种抽象与可以使用共同模态测量的大脑序列动力学联系起来,并认为同源词和大脑节律形成了结合的时空复合体,以保持与“什么”、“在哪里”和“何时”相关的同时动态信息。
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Beyond neurons and spikes: cognon, the hierarchical dynamical unit of thought.

From the dynamical point of view, most cognitive phenomena are hierarchical, transient and sequential. Such cognitive spatio-temporal processes can be represented by a set of sequential metastable dynamical states together with their associated transitions: The state is quasi-stationary close to one metastable state before a rapid transition to another state. Hence, we postulate that metastable states are the central players in cognitive information processing. Based on the analogy of quasiparticles as elementary units in physics, we introduce here the quantum of cognitive information dynamics, which we term "cognon". A cognon, or dynamical unit of thought, is represented by a robust finite chain of metastable neural states. Cognons can be organized at multiple hierarchical levels and coordinate complex cognitive information representations. Since a cognon is an abstract conceptualization, we link this abstraction to brain sequential dynamics that can be measured using common modalities and argue that cognons and brain rhythms form binding spatiotemporal complexes to keep simultaneous dynamical information which relate the 'what', 'where' and 'when'.

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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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