Cortical Oscillatory Modular Processing Electrical Sources

A. D. da Rocha
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Abstract

The brain is a distributed network (DIPS) of multiple agents specialized in solving specific tasks and joining efforts to handle complex cognitive activities as a time of efficient cortical columns assemblies (CA). The column distinct cortical layers generate different slow and fast currents that sum up into a total columnar oscillatory current that is low and noisy. The increment of the input activity triggered by sensory stimulation or internal activity created by reasoning, entrains not only the intrinsic activity of each column but also the activity of a defined number of neighboring columns. This entrainment increases the value of the different columnar that sum up into a larger current whose value heavily depends on the number of the entrained columns. The input and oscillatory activity of all cortical areas recruited to support a cognitive task is organized into a Cortical Oscillatory Modular Processing (COMP) that generates a event related activity that may be identified in the EEG recorded while the individual is solving the task. These are segmented into four waves of Wi components. Here, the sLORETA software was used to identify he input and oscillatory sources activated by different cognitive processing. The analysis of the temporal and spatial distribution of these sources revealed that and activity contributes to generate the distinct Wi components of the distinct supporting the cortical modular processing of any cognitive task. The source movement during the distinct entrains and integrates the sequential cortical processing COMP to update and unify the cognitive activity related to a task to be solved.
皮层振荡模块处理电源
大脑是一个由多个智能体组成的分布式网络(DIPS),这些智能体专门解决特定的任务,并通过有效的皮质柱组装(CA)来共同处理复杂的认知活动。不同的柱状皮质层产生不同的慢速和快速电流,这些电流汇总成一个低而嘈杂的总柱状振荡电流。由感官刺激触发的输入活动的增加或由推理产生的内部活动,不仅包含每个列的内在活动,还包含一定数量的相邻列的活动。这种夹带增加了不同柱的价值,这些柱的价值汇总成一个更大的电流,其价值在很大程度上取决于夹带柱的数量。支持认知任务的所有皮层区域的输入和振荡活动被组织成一个皮层振荡模块处理(COMP),该处理产生一个事件相关的活动,可以在个体解决任务时记录的脑电图中识别出来。它们被分割成四个Wi分量波。本研究采用sLORETA软件识别不同认知加工激活的输入和振荡源。对这些来源的时空分布分析表明,大脑活动有助于产生不同的Wi成分,以支持任何认知任务的皮层模块处理。在不同的过程中,源运动携带并整合了连续的皮层处理COMP,以更新和统一与待解决任务相关的认知活动。
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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