...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Neural computation >Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-Making Circuit
【24h】

Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-Making Circuit

机译：抑制和激发形状活动选择：决策电路中振荡的影响

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Decision making is a complex task, and its underlying mechanisms that regulate behavior, such as the implementation of the coupling between physiological states and neural networks, are hard to decipher. To gain more insight into neural computations underlying ongoing binary decision-making tasks, we consider a neural circuit that guides the feeding behavior of a hypothetical animal making dietary choices. We adopt an inhibition motif from neural network theory and propose a dynamical system characterized by nonlinear feedback, which links mechanism (the implementation of the neural circuit and its coupling to the animal's nutritional state) and function (improving behavioral performance). A central inhibitory unit influences evidence-integrating excitatory units, which in our terms correspond to motivations competing for selection. We determine the parameter regime where the animal exhibits improved decision-making behavior and explain different behavioral outcomes by making the link between accessible states of the nonlinear neural circuit model and decision-making performance. We find that for given deficits in nutritional items, the variation of inhibition strength and ratio of excitation and inhibition strengths in the decision circuit allows the animal to enter an oscillatory phase that describes its internal motivational state. Our findings indicate that this oscillatory phase may improve the overall performance of the animal in an ongoing foraging task and underpin the importance of an integrated functional and mechanistic study of animal activity selection.
机译：决策是一项复杂的任务，其行为调控机制（例如生理状态与神经网络之间的耦合的实现）难以解读。为了更深入地了解正在进行的二元决策任务背后的神经计算，我们考虑了一个神经回路，该回路可指导假设动物进行饮食选择的喂养行为。我们采用来自神经网络理论的抑制主题，并提出了一个具有非线性反馈特征的动力学系统，该动力学系统将机制（神经回路的实现及其与动物营养状态的耦合）与功能（改善行为表现）联系起来。中央抑制单位会影响综合证据的兴奋性单位，就我们而言，这相当于竞争选择的动机。通过确定非线性神经回路模型的可访问状态与决策性能之间的联系，我们确定了动物表现出改善的决策行为的参数范围，并解释了不同的行为结果。我们发现，对于给定的营养项目不足，在决策回路中抑制强度以及激发与抑制强度之比的变化使动物进入描述其内部激励状态的振荡阶段。我们的发现表明，该振荡阶段可能会改善正在进行的觅食任务中动物的整体性能，并加强动物活动选择的综合功能和机理研究的重要性。

著录项

  • 来源
    《Neural computation》 |2019年第5期|870-896|共27页
  • 作者

    Bose Thomas; Reina Andreagiovanni; Marshall James A. R.;

  • 作者单位

    Univ Sheffield, Dept Comp Sci, Sheffield, S Yorkshire, England;

    Univ Sheffield, Dept Comp Sci, Sheffield, S Yorkshire, England;

    Univ Sheffield, Dept Comp Sci, Sheffield, S Yorkshire, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号