Computational algorithms and neuronal network models underlying decision processes
Computational algorithms and neuronal network models underlying decision processes
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DOI：
10.1016/j.neunet.2006.05.034
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发表时间：
2006-10-01
期刊：
影响因子：
7.8
通讯作者：
Fukai, Tomoki
中科院分区：
文献类型：
--
作者：
Sakai, Yutaka;Okamoto, Hiroshi;Fukai, Tomoki
动物或人类经常会遇到这样的情况，在这种情况下，他们必须选择在不久的将来或遥远的将来做出行为反应。这种决定是通过大脑周围环境与其内部状态或动态过程之间的持续和双向相互作用做出的。因此，决策可能会提供一个独特的研究领域，研究信息处理的大脑，一个生物系统开放的信息交流与外部世界。为了做出决定，大脑必须分析外部提供的信息，过去在类似情况下的经验，可能的行为反应以及个人反应的预测结果。在这篇文章中，我们回顾了最近的实验和理论研究结果的神经基板和计算算法的决策过程。(c)2006爱思唯尔有限公司保留所有权利。
Animals or humans often encounter such situations in which they must choose their behavioral responses to be made in the near or distant future. Such a decision is made through continuous and bidirectional interactions between the environment surrounding the brain and its internal state or dynamical processes. Therefore, decision making may provide a unique field of researches for studying information processing by the brain, a biological system open to information exchanges with the external world. To make a decision, the brain must analyze pieces of information given externally, past experiences in a similar situation, possible behavioral responses, and predicted outcomes of the individual responses. In this article, we review results of recent experimental and theoretical studies of neuronal substrates and computational algorithms for decision processes. (c) 2006 Elsevier Ltd. All rights reserved.