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首页> 外文学位 >A neural model of sequential movement planning and control of eye movements: Rank-order working memory and saccade selection by the supplementary eye fields.
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A neural model of sequential movement planning and control of eye movements: Rank-order working memory and saccade selection by the supplementary eye fields.

机译：顺序运动计划和眼睛运动控制的神经模型：辅助眼场的排序工作记忆和扫视选择。

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摘要

How do working memory circuits store multiple spatial locations to control planned sequences of eye movements? How can working memory store and recall sequences when the same items repeat at multiple list positions, or ranks, during the sequence? An Item-Order-Rank model of working memory shows how rank-selective item representations enable correct sequential storage and recall of items that may repeat at arbitrary list positions. Rank-related neuronal activity has been observed throughout a number of brain regions including the posterior parietal cortices (PPC), prefrontal cortices (PFC) and supplementary eye fields (SEF). The model shows how rank information that originates in PPC may support rank-sensitive PFC working memory representations. Because PFC representations are rank-sensitive, items that occur at multiple positions within a sequence can be differentiated on the basis of their rank, and thus stored in parallel. SEF is known to be important for the production of sequences of memory-guided saccades and contains cells that fire before eye movements. The model explains how SEF can select saccades that are stored in working memory. The model also proposes how SEF interacts with downstream regions such as the frontal eye fields (FEF) during memory-guided sequential saccade tasks, and how the basal ganglia (BG) control the flow of information in cortical and subcortical areas.;Model simulations reproduce behavioral, anatomical and electrophysiological data under multiple experimental paradigms including visually- and memory-guided single and sequential saccade tasks. In addition, the model reproduces behavioral data during two different SEF microstimulation paradigms, and shows that their seemingly inconsistent findings about the impact of microstimulation on saccade latency can be reconciled within a single theoretical framework. By reproducing these data, the model makes predictions about the organization of working memory, its interaction with SEF as a system that selects an item to be performed next, and the way these two systems work with downstream oculomotor areas to generate sequential behavior.
机译：工作存储电路如何存储多个空间位置以控制计划的眼睛运动顺序？当相同项目在序列中的多个列表位置或行列重复时，工作存储器如何存储和调用序列？工作记忆的Item-Order-Rank模型显示了行序选择项表示如何实现正确顺序存储和调用可能在任意列表位置重复的项。已在包括后顶叶皮层（PPC），前额叶皮层（PFC）和辅助视场（SEF）在内的多个大脑区域中观察到了与等级相关的神经元活动。该模型显示了源自PPC的等级信息如何支持等级敏感的PFC工作存储器表示形式。由于PFC表示形式对等级敏感，因此可以根据其等级区分序列中多个位置上出现的项目，从而并行存储。众所周知，SEF对于记忆引导扫视序列的产生很重要，并且包含在眼球运动之前就发射的细胞。该模型解释了SEF如何选择存储在工作存储器中的扫视。该模型还提出了SEF如何在记忆引导的连续扫视任务期间与下游区域（例如额叶视场（FEF））相互作用，以及基底神经节（BG）如何控制皮质和皮质下区域的信息流。在多种实验范式下的行为，解剖学和电生理数据，包括视觉和记忆引导的单个和顺序扫视任务。此外，该模型在两个不同的SEF微刺激范例中重现了行为数据，并表明可以在单个理论框架内协调他们关于微刺激对扫视潜伏期影响的看似不一致的发现。通过复制这些数据，该模型可以预测工作记忆的组织，与SEF的交互作用（作为一个系统来选择下一个要执行的项目），以及这两个系统与下游动眼运动区域一起产生顺序行为的方式。

著录项

  • 作者

    Silver, Matthew R.;

  • 作者单位

    Boston University.;

  • 授予单位 Boston University.;
  • 学科 Biology Neuroscience.;Engineering System Science.;Psychology Cognitive.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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