Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract?
Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract?
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DOI：
10.1016/j.tics.2011.04.002
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发表时间：
2011-06
影响因子：
19.9
通讯作者：
Serences, John T.
中科院分区：
文献类型：
--
作者：
Forstmann, Birte U.;Wagenmakers, Eric-Jan;Eichele, Tom;Brown, Scott;Serences, John T.
认知神经科学家研究大脑如何实现特定的认知过程，例如感知、学习和决策。最近的两项创新对针对特定认知过程设计实验的传统方法进行了补充。首先，正式的认知模型可以将观察到的行为数据分解为多个潜在的认知过程，从而使大脑测量结果能够更准确、更自信地与特定的认知过程相关联。其次，认知神经科学可以提供额外的数据来指导认知模型的开发，比单独的行为数据提供更大的约束。我们认为这些领域是相互依赖的：模型不仅可以指导神经科学研究，而且理解神经机制可以为认知的正式模型提供重要的见解。
Cognitive neuroscientists study how the brain implements particular cognitive processes such as perception, learning, and decision-making. Traditional approaches in which experiments are designed to target a specific cognitive process have been supplemented by two recent innovations. First, formal models of cognition can decompose observed behavioral data into multiple latent cognitive processes, allowing brain measurements to be associated with a particular cognitive process more precisely and more confidently. Second, cognitive neuroscience can provide additional data to inform the development of cognitive models, providing greater constraint than behavioral data alone. We argue that these fields are mutually dependent: not only can models guide neuroscientific endeavors, but understanding neural mechanisms can provide critical insights into formal models of cognition.
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影响因子：
2.9
作者：
Forstmann BU;Brown S;Dutilh G;Neumann J;Wagenmakers EJ
通讯作者：
Wagenmakers EJ
影响因子：
64.8
作者：
Daw, Nathaniel D.;O'Doherty, John P.;Dayan, Peter;Seymour, Ben;Dolan, Raymond J.
通讯作者：
Dolan, Raymond J.
影响因子：
2.5
作者：
Anderson, John R.;Carter, Cameron S.;Rosenberg-Lee, Miriam
通讯作者：
Rosenberg-Lee, Miriam
DOI：
10.1073/pnas.0805903105
发表时间：
2008-11-11
影响因子：
11.1
作者：
Forstmann, Birte U.;Dutilh, Gilles;Wagenmaker, Eric-Jan
通讯作者：
Wagenmaker, Eric-Jan
影响因子：
2.7
作者：
Corrado, GS;Sugrue, LP;Newsome, WT
通讯作者：
Newsome, WT