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The Study on Functional Connectivity between Frontal Eye Field and Other Brain Cortex in Visual Processing

机译:视觉处理中额眼视野与其他大脑皮层之间功能连通性的研究

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Scientists have done many researches on human vision, they believe that computational model of human vision can inspire computer vision. FEF (Frontal Eye Field) is one of the important cortex of human being which plays a central role in the production of purposeful eye movements. A fMRI experiment was performed in this study to examine the cognitive role and functional connectivity mode between FEF and other brain cortex, such as FG (Fusiform Gyrus), PPC (Posterior Parietal Cortex) and PFC (Prefrontal Cortex). The results show that there are strong connectivity between FEF and these cortexes, and the functional connectivity pattern differs along with the complexity of task, the more complex, the higher connect intensity. Thus we infer that FEF may play an important role in visual processing not only eye movements but also high cognitive controlling. We also propose a probable reference model of visual processing which involved visual perception, visual encoding, visual imagination and declarative memorizing, FG, PPC, PFC may take part in such visual processing, and FEF may play a control role in such visual processing. Hopefully, this model could be used in computer vision processing.
机译:科学家们已经对人类视觉进行了许多研究,他们认为人类视觉的计算模型可以激发计算机视觉。 FEF(额眼场)是人类重要的大脑皮层之一,在产生有目的的眼球运动中起着核心作用。在这项研究中进行了功能磁共振成像实验,以检查FEF和其他大脑皮质(例如FG(融合状回),PPC(后顶叶皮质)和PFC(前额叶皮质))之间的认知作用和功能连接方式。结果表明,FEF与这些皮层之间具有很强的连通性,并且功能连通性模式随任务的复杂性而变化,越复杂,连接强度越高。因此,我们推断,FEF在视觉处理中不仅在眼动方面而且在高度的认知控制方面都可能起重要作用。我们还提出了可能涉及视觉感知,视觉编码,视觉想象力和陈述性记忆的视觉处理参考模型,FG,PPC,PFC可能参与此类视觉处理,而FEF可能在此类视觉处理中起控制作用。希望该模型可以用于计算机视觉处理。

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