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Maintenance of Spatial and Motor Codes during Oculomotor Delayed Response Tasks

机译:动眼神经延迟响应任务期间空间和运动代码的维护

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摘要

The most compelling neural evidence for working memory is persistent neuronal activity bridging past sensory cues and their contingent future motor acts. This observation, however, does not answer what is actually being remembered or coded for by this activity. To address this fundamental issue, we imaged the human brain during maintenance of spatial locations and varied whether the memory-guided saccade was selected before or after the delay. An oculomotor delayed matching-to-sample task (match) was used to measure maintained motor intention because the direction of the forthcoming saccade was known throughout the delay. We used a nonmatching-to-sample task (nonmatch) in which the saccade was unpredictable to measure maintained spatial attention. Oculomotor areas were more active during match delays, and posterior parietal cortex and inferior frontal cortex were more active during nonmatch delays. Additionally, the fidelity of the memory was predicted by the delay-period activity of the frontal eye fields; the magnitude of delay-period activity correlated with the accuracy of the memory-guided saccade. Experimentally controlling response selection allowed us to functionally separate nodes of a network of frontal and parietal areas that usually coactivate in studies of working memory. We propose that different nodes in this network maintain different representational codes, motor and spatial. Which code is being represented by sustained neural activity is biased by when in the transformation from perception to action the response can be selected.
机译:关于工作记忆的最有说服力的神经证据是持续的神经元活动桥接过去的感觉线索和它们可能的未来运动行为。但是,此观察结果无法回答此活动实际上记住或编码的内容。为了解决这个基本问题,我们在维持空间位置的过程中对人脑成像,并改变了在延迟之前或之后选择记忆引导扫视。动眼神经延迟的匹配样本任务(匹配)用于测量维持的运动意图,因为即将到来的扫视的方向在整个延迟期间都是已知的。我们使用了不匹配样本任务(不匹配),其中扫视无法测量保持的空间注意力。在比赛延误期间动眼区域活跃,在不比赛延误期间后顶叶皮质和额叶下部皮质活跃。另外,记忆的保真度是由额眼视野的延迟期活动预测的。延迟期活动的大小与记忆引导扫视的准确性相关。通过实验控制响应选择,我们可以在功能上分离通常在工作记忆研究中共同激活的额叶和顶叶区域网络的节点。我们建议该网络中的不同节点维护不同的表示代码,运动和空间。在从知觉到动作的转换中,可以选择响应由持续的神经活动代表的代码。

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