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A Connectionist Model May Shed Light on Neural Mechanisms for Visually Guided Reaching

机译:一个连接主义者的模型可能会忽略视觉引导到达的神经机制

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摘要

Formal principles of vision-based planning and control of arm movements are used to gain insight into the neurobio-logical mechanisms that underlie this important class of sen-sorimotor behavior. The primary conceptual tool used in this work has been a neurally inspired connectionist system called MURPHY that learns to reach for visual targets among obstacles, crudely based on the style of architecture and representations in sensory and motor areas of cerebral cortex. This system has provided a concrete implementation that demonstrates how areas of cerebral cortex could in principle interact to direct both sensory-locked and internally planned reaching movements. We use MURPHY'S simple, artificial “cortex” as a point of departure in the development of two high-level cortical models for visual limb control, involving the supplementary motor area (SMA), areas 5 and 7 of the posterior parietal lobe, and several visually responsive areas including V2, PO, and areas TPO and STP in the upper bank of the superior temporal sulcus.
机译:基于视觉的计划和手臂运动控制的正式原理可用于深入了解这一重要的感觉运动行为基础的神经生物学机制。这项工作中使用的主要概念工具是一个受神经启发的连接器系统,称为MURPHY,该系统粗略地基于建筑风格以及大脑皮层的感觉和运动区域的表示来学习如何在障碍物之间达到视觉目标。该系统提供了一个具体的实现方法,该方法演示了大脑皮层区域原则上如何相互作用以引导感觉锁定和内部计划的到达运动。我们使用MURPHY的简单人工“皮质”作为开发两个高级视觉皮层模型的出发点,以进行视觉肢体控制,涉及运动补充区(SMA),顶叶后叶区域5和7,以及几个视觉反应区域,包括上颞沟上岸的V2,PO和TPO和STP区域。

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  • 来源
    《Journal of Cognitive Neuroscience》 |1991年第3期|273-292|共20页
  • 作者

    Mel B;

  • 作者单位

    California Institute of Technology;

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  • 原文格式 PDF
  • 正文语种 eng
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