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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Learning reward timing in cortex through reward dependent expression of synaptic plasticity
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Learning reward timing in cortex through reward dependent expression of synaptic plasticity

机译：通过奖励依赖的突触可塑性表达学习皮质的奖励时机

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摘要

The ability to represent time is an essential component of cognition but its neural basis is unknown. Although extensively studied both behaviorally and electrophysiologically, a general theoretical framework describing the elementary neural mechanisms used by the brain to learn temporal representations is lacking. It is commonly believed that the underlying cellular mechanisms reside in high order cortical regions but recent studies show sustained neural activity in primary sensory cortices that can represent the timing of expected reward. Here, we show that local cortical networks can learn temporal representations through a simple framework predicated on reward dependent expression of synaptic plasticity. We assert that temporal representations are stored in the lateral synaptic connections between neurons and demonstrate that reward-modulated plasticity is sufficient to learn these representations. We implement our model numerically to explain reward-time learning in the primary visual cortex (V1), demonstrate experimental support, and suggest additional experimentally verifiable predictions.
机译：表示时间的能力是认知的重要组成部分，但其神经基础尚不清楚。尽管在行为和电生理方面都进行了广泛研究，但仍缺乏描述大脑用来学习时间表示的基本神经机制的通用理论框架。通常认为，潜在的细胞机制位于高级皮质区域，但最近的研究表明，初级感觉皮层中的持续神经活动可以代表预期奖励的时机。在这里，我们表明，局部皮质网络可以通过一个简单的框架来学习时间表示，该框架基于依赖于突触可塑性的奖励表达。我们断言，时间表示形式存储在神经元之间的横向突触连接中，并证明了奖励调制的可塑性足以学习这些表示形式。我们以数字方式实施我们的模型，以解释初级视觉皮层（V1）中的奖励时间学习，展示实验支持并提出其他实验可验证的预测。

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  • 作者

    Jeffrey P. Gavornik; Marshall G. Hussain Shuler; Yonatan Loewenstein; Mark F. Bear; Harel Z. Shouval;

  • 作者单位

    Department of Neurobiology and Anatomy, University of Texas Medical School, Houston, TX 77030 Department of Electrical and Computer Engineering, University of Texas, Austin, TX 78712;

    Department of Neuroscience, The Johns Hopkins University, Baltimore, MD 21205;

    Department of Neurobiology, Department of Cognitive Science and the Interdisciplinary Center for Neural Computation, The Hebrew University, Jerusalem 91904, Israel;

    The Howard Hughes Medical Institute, Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139;

    Department of Neurobiology and Anatomy, University of Texas Medical School, Houston, TX 77030;

  • 收录信息 美国《科学引文索引》(SCI);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

    reinforcment learning; visual cortex;

    机译：强化学习;视觉皮层;

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