Uncertainty, neuromodulation, and attention
Uncertainty, neuromodulation, and attention
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DOI：
10.1016/j.neuron.2005.04.026
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发表时间：
2005-05-19
期刊：
影响因子：
16.2
通讯作者：
Dayan, P
中科院分区：
文献类型：
--
作者：
Yu, AJ;Dayan, P
各种形式的不确定性困扰着我们与环境的互动。在贝叶斯统计框架中，基于不可靠上下文中不可靠的观察结果，最佳推理和预测需要对不同形式的不确定性进行表示和操纵。我们建议神经调节剂乙酰胆碱和去甲肾上腺素在大脑实施这些不确定性计算中起着重要作用。乙酰胆碱信号期望的不确定性，来自上下文中预测提示的已知不可靠性。去甲肾上腺素会引起意外的不确定性，就像未信号的上下文开关产生强烈意外的观察时一样。这些不确定性信号相互作用以在嘈杂和可变的环境中实现最佳推理和学习。这种表述与大量的生理，药理和行为数据一致，这意味着乙酰胆碱是一系列认知过程的特定方面的去甲肾上腺素。此外，该模型提出了一类注意力提示任务，涉及神经调节剂，并展示了它们的相互作用如何成为部分抗逆势，部分相关。
Uncertainty in various forms plagues our interactions with the environment. In a Bayesian statistical framework, optimal inference and prediction, based on unreliable observations in changing contexts, require the representation and manipulation of different forms of uncertainty. We propose that the neuromodulators acetylcholine and norepinephrine play a major role in the brain's implementation of these uncertainty computations. Acetylcholine signals expected uncertainty, coming from known unreliability of predictive cues within a context. Norepinephrine signals unexpected uncertainty, as when unsignaled context switches produce strongly unexpected observations. These uncertainty signals interact to enable optimal inference and learning in noisy and changeable environments. This formulation is consistent with a wealth of physiological, pharmacological and behavioral data implicating acetylcholine an norepinephrine in specific aspects of a range of cognitive processes. Moreover, the model suggests a class of attentional cueing tasks that involve both neuromodulators and shows how their interactions may be part-antagonistic, part-synergistic.