Cortex level connectivity between ACT-R modules during EEG-based n-back task.

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES
Cognitive Neurodynamics Pub Date : 2024-12-01 Epub Date: 2024-10-21 DOI:10.1007/s11571-024-10177-y
Debashis Das Chakladar
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Abstract

Finding the synchronization between Electroencephalography (EEG) and human cognition is an essential aspect of cognitive neuroscience. Adaptive Control of Thought-Rational (ACT-R) is a widely used cognitive architecture that defines the cognitive and perceptual operations of the human mind. This study combines the ACT-R and EEG-based cortex-level connectivity to highlight the relationship between ACT-R modules during the EEG-based n-back task (for validating working memory performance). Initially, the source localization method is performed on the EEG signal, and the mapping between ACT-R modules and corresponding brain scouts (on the cortex surface) is performed. Once the brain scouts are identified for ACT-R modules, then those scouts are called ACT-R scouts. The linear (Granger Causality: GC) and non-linear effective connectivity (Multivariate Transfer Entropy: MTE) methods are applied over the scouts' time series data. From the GC and MTE analysis, for all n-back tasks, information flow is observed from the visual-to-imaginal ACT-R scout for storing the visual stimuli (i.e., input letter) in short-term memory. For 2 and 3-back tasks, causal flow exists from imaginal to retrieval ACT-R scout and vice-versa. Causal flow from procedural to the imaginal ACT-R scout is also observed for all workload levels to execute the set of productions. Identifying the relationship among ACT-R modules through scout-level connectivity in the cortical surface facilitates the effects of human cognition in terms of brain dynamics.

在基于脑电图的n-back任务中,ACT-R模块之间的皮质水平连接。
发现脑电图与人类认知之间的同步性是认知神经科学的一个重要方面。思维理性的自适应控制(ACT-R)是一种广泛使用的认知架构,它定义了人类思维的认知和感知操作。本研究将ACT-R和基于脑电图的皮质级连接结合起来,以突出在基于脑电图的n-back任务(用于验证工作记忆性能)中ACT-R模块之间的关系。首先对EEG信号进行源定位方法,并将ACT-R模块与相应的脑童子军(皮层表面)进行映射。一旦大脑侦察兵被识别为ACT-R模块,那么这些侦察兵就被称为ACT-R侦察兵。将线性(Granger Causality: GC)和非线性有效连通性(Multivariate Transfer Entropy: MTE)方法应用于侦察兵的时间序列数据。从GC和MTE分析来看,对于所有的n-back任务,从视觉到想象的ACT-R侦察将视觉刺激(即输入字母)存储在短期记忆中,观察到信息流。对于2 -back和3-back任务,从想象到检索存在因果流,反之亦然。还观察了从程序到想象ACT-R侦察的因果流,以执行一系列产品的所有工作负载级别。通过大脑皮层表面的侦察级连接识别ACT-R模块之间的关系,有助于人类认知在脑动力学方面的影响。
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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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