Homeostatic regulation of memory systems and adaptive decisions.

Homeostatic regulation of memory systems and adaptive decisions.
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DOI:
10.1002/hipo.22176
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发表时间:
2013-11
期刊:
影响因子:
3.5
通讯作者:
Jo, Yong Sang
Jo, Yong Sang
中科院分区:
医学3区
文献类型:
--
作者:
Mizumori, Sheri J. Y.;Jo, Yong Sang

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虽然很明显,许多大脑区域处理记忆信息,但理解它们的相互作用如何导致持续的适应行为一直是一个挑战。一个稳态调节的记忆预测模型,认为存在一个单一的记忆系统,是基于一个多层次的协调和集成的网络(从细胞到神经系统),确定在何种程度上发生的事件和结果的预测。“大脑的多个记忆系统”具有共同的输出,该输出用信号表示事件和/或其结果的预测中的错误,尽管这些信号在错误信号表示的内容方面不同(例如,海马体:上下文预测错误对中脑/纹状体:奖励预测错误)。前额叶皮层可能在预测大脑区域内和跨预测大脑区域的预测分析协调中起着关键作用。凭借其广泛的控制和影响力,以及内在的工作记忆机制。因此,前额叶皮层支持产生适应性行为和预测未来结果所需的灵活处理。有人提出,前额叶皮层不断地自动产生自适应反应,根据稳态调节原则:前额叶皮层可以作为一个控制器,本质上是驱动,以保持在预测领域的经验依赖的放电率设定点,确保自适应的时间和空间分辨神经响应未来的预测错误。前额叶皮层的这种相同驱动也可以在检测到偏差(即预测误差)之后恢复设定点放电率。通过这种方式,前额叶皮层有助于减少预测系统的不确定性。这种自我平衡观点的一个紧急结果可能是前额叶皮层在最具挑战性的情况下实现的灵活和自适应控制(即工作记忆)。对任何预测回路的妥协都会导致僵化和次优的决策和记忆,就像成瘾和神经疾病一样。© 2013作者。出版社:Wiley Periodicals,Inc.
While it is clear that many brain areas process mnemonic information, understanding how their interactions result in continuously adaptive behaviors has been a challenge. A homeostatic-regulated prediction model of memory is presented that considers the existence of a single memory system that is based on a multilevel coordinated and integrated network (from cells to neural systems) that determines the extent to which events and outcomes occur as predicted. The “multiple memory systems of the brain” have in common output that signals errors in the prediction of events and/or their outcomes, although these signals differ in terms of what the error signal represents (e.g., hippocampus: context prediction errors vs. midbrain/striatum: reward prediction errors). The prefrontal cortex likely plays a pivotal role in the coordination of prediction analysis within and across prediction brain areas. By virtue of its widespread control and influence, and intrinsic working memory mechanisms. Thus, the prefrontal cortex supports the flexible processing needed to generate adaptive behaviors and predict future outcomes. It is proposed that prefrontal cortex continually and automatically produces adaptive responses according to homeostatic regulatory principles: prefrontal cortex may serve as a controller that is intrinsically driven to maintain in prediction areas an experience-dependent firing rate set point that ensures adaptive temporally and spatially resolved neural responses to future prediction errors. This same drive by prefrontal cortex may also restore set point firing rates after deviations (i.e. prediction errors) are detected. In this way, prefrontal cortex contributes to reducing uncertainty in prediction systems. An emergent outcome of this homeostatic view may be the flexible and adaptive control that prefrontal cortex is known to implement (i.e. working memory) in the most challenging of situations. Compromise to any of the prediction circuits should result in rigid and suboptimal decision making and memory as seen in addiction and neurological disease. © 2013 The Authors. Hippocampus Published by Wiley Periodicals, Inc.
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