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Region-Specific Summation Patterns Inform the Role of Cortical Areas in Selecting Motor Plans

机译:特定于区域的汇总模式指示皮质区域在选择运动计划中的作用

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摘要

Given an instruction regarding which effector to move and what location to move to, simply adding the effector and spatial signals together will not lead to movement selection. For this, a nonlinearity is required. Thresholds, for example, can be used to select a particular response and reject others. Here we consider another useful nonlinearity, a supralinear multiplicative interaction. To help select a motor plan, spatial and effector signals could multiply and thereby amplify each other. Such an amplification could constitute one step within a distributed network involved in response selection, effectively boosting one response while suppressing others. We therefore asked whether effector and spatial signals sum supralinearly for planning eye versus arm movements from the parietal reach region (PRR), the lateral intraparietal area (LIP), the frontal eye field (FEF), and a portion of area 5 (A5) lying just anterior to PRR. Unlike LIP neurons, PRR, FEF, and, to a lesser extent, A5 neurons show a supralinear interaction. Our results suggest that selecting visually guided eye versus arm movements is likely to be mediated by PRR and FEF but not LIP.
机译:给定有关要移动哪个执行器以及要移动到什么位置的指令,简单地将执行器和空间信号加在一起将不会导致运动选择。为此,需要非线性。例如,阈值可用于选择特定的响应并拒绝其他响应。在这里,我们考虑了另一个有用的非线性,超线性乘法相互作用。为了帮助选择运动计划,空间和效应器信号可以相乘,从而彼此放大。这种放大可以构成涉及响应选择的分布式网络中的一个步骤,从而有效地增强一个响应,同时抑制其他响应。因此,我们询问效应器和空间信号是否超线性求和,以计划从顶到达区域(PRR),顶顶外侧区域(LIP),额叶视野(FEF)和部分区域5(A5)的眼睛与手臂运动位于PRR的正前方。与LIP神经元不同,PRR,FEF和A5神经元(在较小程度上)表现出超线性相互作用。我们的结果表明,选择视觉引导的眼球与手臂的运动很可能是由PRR和FEF介导的,而不是LIP。

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