Cortical dynamics of perception as trains of coherent gamma oscillations, with the pulvinar as central coordinator.

Q1 Computer Science
J Farineau, R Lestienne
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引用次数: 0

Abstract

Synchronization of spikes carried by the visual streams is strategic for the proper binding of cortical assemblies, hence for the perception of visual objects as coherent units. Perception of a complex visual scene involves multiple trains of gamma oscillations, coexisting at each stage in visual and associative cortex. Here, we analyze how this synchrony is managed, so that the perception of each visual object can emerge despite this complex interweaving of cortical activations. After a brief review of structural and temporal facts, we analyze the interactions which make the oscillations coherent for the visual elements related to the same object. We continue with the propagation of these gamma oscillations within the sensory chain. The dominant role of the pulvinar and associated reticular thalamic nucleus as cortical coordinator is the common thread running through this step-by-step description. Synchronization mechanisms are analyzed in the context of visual perception, although the present considerations are not limited to this sense. A simple experiment is described, with the aim of assessing the validity of the elements developed here. A first set of results is provided, together with a proposed method to go further in this investigation.

感知的皮层动力学表现为一连串连贯的伽马振荡,而脉络膜是中心协调器。
视觉流所携带的尖峰同步对于大脑皮层集合的适当结合,从而将视觉对象感知为连贯的单元具有战略意义。对复杂视觉场景的感知涉及多列伽马振荡,它们在视觉和联想皮层的每个阶段共存。在此,我们将分析如何管理这种同步性,以便在这种复杂的大脑皮层激活交织的情况下仍能产生对每个视觉对象的感知。在简要回顾了结构和时间事实之后,我们分析了使与同一对象相关的视觉元素的振荡保持一致的相互作用。我们将继续探讨这些伽马振荡在感觉链中的传播。脉络膜和相关丘脑网状核作为皮层协调器的主导作用是贯穿这一逐步描述的共同主线。本研究以视觉感知为背景对同步机制进行了分析,尽管目前的考虑并不局限于此。本文还描述了一个简单的实验,目的是评估本文所阐述内容的有效性。本文提供了第一组结果,并提出了进一步研究的方法。
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
Brain Informatics
Brain Informatics Computer Science-Computer Science Applications
CiteScore
9.50
自引率
0.00%
发文量
27
审稿时长
13 weeks
期刊介绍: Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain. This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics. It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-machine intelligence, brain-inspired intelligent systems, mental health and brain disorders, etc. The scope of papers includes the following five tracks: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing
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