Hippocampus, cortex, and basal ganglia: Insights from computational models of complementary learning systems
Hippocampus, cortex, and basal ganglia: Insights from computational models of complementary learning systems
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DOI：
10.1016/j.nlm.2004.06.004
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发表时间：
2004-11-01
影响因子：
2.7
通讯作者：
O'Reilly, RC
中科院分区：
文献类型：
--
作者：
Atallah, HE;Frank, MJ;O'Reilly, RC
我们提出了一个框架来理解海马体、新皮层和基底神经节如何协同工作来支持哺乳动物大脑的认知和行为功能。该框架基于神经网络模型中出现的计算权衡，其中实现一种类型的学习函数所需的参数与实现另一种形式的学习所需的参数非常不同。例如，我们将海马体与皮层分离开来，考虑到一般的活动水平、学习率和活动模式之间的重叠程度。同样，额叶皮质和相关的基底神经节系统具有重要的神经特化，而后叶皮质系统则不需要。总的来说，这个整体的认知架构，已经在功能计算模型中实现，为解释广泛的行为和认知神经科学数据提供了丰富而微妙的手段。本文总结了近年来在认知记忆、情境恐惧条件反射、基底神经节损伤对刺激-反应和位置学习以及灵活反应的影响等方面的研究成果。(C) 2004爱思唯尔公司版权所有。
We present a framework for understanding how the hippocampus, neocortex, and basal ganglia work together to support cognitive and behavioral function in the mammalian brain. This framework is based on computational tradeoffs that arise in neural network models, where achieving one type of learning function requires very different parameters from those necessary to achieve another form of learning. For example, we dissociate the hippocampus from cortex with respect to general levels of activity, learning rate, and level of overlap between activation patterns. Similarly, the frontal cortex and associated basal ganglia system have important neural specializations not required of the posterior cortex system. Taken together, this overall cognitive architecture, which has been implemented in functioning computational models, provides a rich and often subtle means of explaining a wide range of behavioral and cognitive neuroscience data. Here, we summarize recent results in the domains of recognition memory, contextual fear conditioning, effects of basal ganglia lesions on stimulus-response and place learning, and flexible responding. (C) 2004 Elsevier Inc. All rights reserved.