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适应奖励和新颖性的常见机制。

A common mechanism for adaptive scaling of reward and novelty.

机构信息

Institute of Cognitive Neuroscience, University College London, London WC1N 3AR, United Kingdom.

出版信息

Hum Brain Mapp. 2010 Sep;31(9):1380-94. doi: 10.1002/hbm.20939.

Abstract

Declarative memory is remarkably adaptive in the way it maintains sensitivity to relative novelty in both unknown and highly familiar environments. However, the neural mechanisms underlying this contextual adaptation are poorly understood. On the basis of emerging links between novelty processing and reinforcement learning mechanisms, we hypothesized that responses to novelty will be adaptively scaled according to expected contextual probabilities of new and familiar events, in the same way that responses to prediction errors for rewards are scaled according to their expected range. Using functional magnetic resonance imaging in humans, we show that the influence of novelty and reward on memory formation in an incidental memory task is adaptively scaled and furthermore that the BOLD signal in orbital prefrontal and medial temporal cortices exhibits concomitant scaled adaptive coding. These findings demonstrate a new mechanism for adjusting gain and sensitivity in declarative memory in accordance with contextual probabilities and expectancies of future events.

摘要

陈述性记忆在维持对未知和高度熟悉环境中相对新颖性的敏感性方面具有显著的适应性。然而,这种上下文适应的神经机制还知之甚少。基于新颖性处理和强化学习机制之间的新联系,我们假设对新颖性的反应将根据新的和熟悉的事件的预期上下文概率进行自适应调整,就像对奖励的预测误差的反应根据其预期范围进行调整一样。我们使用功能性磁共振成像技术在人类中进行研究,结果表明,新颖性和奖励对偶然记忆任务中记忆形成的影响是自适应调整的,此外,眶额前皮质和内侧颞叶皮质中的 BOLD 信号表现出伴随的自适应编码。这些发现证明了一种新的机制,可以根据未来事件的上下文概率和预期来调整陈述性记忆的增益和敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b78d/6870603/574df4cbdb59/HBM-31-1380-g005.jpg

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