Computational algorithms and neuronal network models underlying decision processes

@article{citeulike:822873, abstract = {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.}, author = {Sakai, Yutaka and Okamoto, Hiroshi and Fukai, Tomoki }, citeulike-article-id = {822873}, doi = {10.1016/j.neunet.2006.05.034}, journal = {Neural Networks}, keywords = {decision, model, reinforcement-learning}, posted-at = {2006-08-31 11:01:27}, priority = {2}, title = {Computational algorithms and neuronal network models underlying decision processes}, url = {http://dx.doi.org/10.1016/j.neunet.2006.05.034}, volume = {In Press, Corrected Proof} }

TY - JOUR ID - citeulike:822873 L3 - citeulike-article-id:822873 TI - Computational algorithms and neuronal network models underlying decision processes JF - Neural Networks VL - In Press, Corrected Proof N2 - 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. KW - decision KW - model KW - reinforcement-learning AU - Sakai, Yutaka AU - Okamoto, Hiroshi AU - Fukai, Tomoki UR - http://dx.doi.org/10.1016/j.neunet.2006.05.034 ER -