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整合海马体区域的增量学习和情景记忆模型。

Integrating incremental learning and episodic memory models of the hippocampal region.

作者信息

Meeter M, Myers C E, Gluck M A

机构信息

Department of Cognitive Psychology, Vrije Universiteit Amsterdam, The Netherlands.

出版信息

Psychol Rev. 2005 Jul;112(3):560-85. doi: 10.1037/0033-295X.112.3.560.

Abstract

By integrating previous computational models of corticohippocampal function, the authors develop and test a unified theory of the neural substrates of familiarity, recollection, and classical conditioning. This approach integrates models from 2 traditions of hippocampal modeling, those of episodic memory and incremental learning, by drawing on an earlier mathematical model of conditioning, SOP (A. Wagner, 1981). The model describes how a familiarity signal may arise from parahippocampal cortices, giving a novel explanation for the finding that the neural response to a stimulus in these regions decreases with increasing stimulus familiarity. Recollection is ascribed to the hippocampus proper. It is shown how the properties of episodic representations in the neocortex, parahippocampal gyrus, and hippocampus proper may explain phenomena in classical conditioning. The model reproduces the effects of hippocampal, septal, and broad hippocampal region lesions on contextual modulation of classical conditioning, blocking, learned irrelevance, and latent inhibition.

摘要

通过整合先前关于皮质-海马功能的计算模型,作者们开发并测试了一种关于熟悉感、回忆和经典条件作用的神经基础的统一理论。这种方法通过借鉴早期的条件作用数学模型SOP(A. 瓦格纳,1981年),整合了海马体建模的两种传统模型,即情景记忆模型和增量学习模型。该模型描述了熟悉感信号如何从海马旁皮质产生,为这些区域对刺激的神经反应随刺激熟悉度增加而降低这一发现提供了一种新颖的解释。回忆则归因于海马体本身。文中展示了新皮质、海马旁回和海马体本身的情景表征特性如何解释经典条件作用中的现象。该模型再现了海马体、隔区和广泛海马区域损伤对经典条件作用的情境调节、阻断、习得性无关和潜伏抑制的影响。

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