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Learning and attention reveal a general relationship between population activity and behavior

机译:学习和关注揭示了人口活动与行为之间的一般关系

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摘要

Prior studies have demonstrated that correlated variability changes with cognitive processes that improve perceptual performance. We tested whether correlated variability covaries with subjects' performance-whether performance improves quickly with attention or slowly with perceptual learning. We found a single, consistent relationship between correlated variability and behavioral performance, regardless of the time frame of correlated variability change. This correlated variability was oriented along the dimensions in population space used by the animal on a trial-by-trial basis to make decisions. That subjects' choices were predicted by specific dimensions that were aligned with the correlated variability axis clarifies long-standing paradoxes about the relationship between shared variability and behavior.
机译:先前的研究表明,变异性与认知过程之间的相关性会提高感知性能。我们测试了相关的变异性是否与受试者的表现有协变量—注意力的提高是否能迅速提高,感性学习的效果是否会缓慢提高。我们发现相关变异性和行为表现之间存在一个单一的,一致的关系,而不论相关变异性的时间框架如何。这种相关的变异性是根据动物在逐个试验的基础上用来做出决定的种群空间的大小而确定的。受试者的选择是通过与相关的变异性轴一致的特定维度预测的,这澄清了关于共享变异性和行为之间关系的长期悖论。

著录项

  • 来源
    《Science》 |2018年第6374期|463-465|共3页
  • 作者单位

    Univ Pittsburgh, Dept Neurosci, Pittsburgh, PA 15260 USA;

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

  • 入库时间 2022-08-18 02:51:00

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