用海马计算模型模拟人类情景记忆

N. Sato, Y. Yamaguchi
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引用次数: 8

摘要

情景记忆,即对个人事件和历史的记忆,对于理解人类智力的机制至关重要。神经科学证据表明,海马体作为大脑边缘系统的一部分,在情景记忆的编码和提取中起着重要作用。本文综述了海马的计算模型,并介绍了基于神经同步的人类情景记忆计算模型。计算机模拟结果表明,我们的模型具有瞬时记忆形成和选择性检索的优势。此外,该模型通过整合编码过程中的人眼运动数据,能够预测人类的记忆回忆。计算模型与实验相结合的方法对情景记忆的理论化是有效的。
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Simulation of Human Episodic Memory by Using a Computational Model of the Hippocampus
The episodic memory, the memory of personal events and history, is essential for understanding the mechanism of human intelligence. Neuroscience evidence has shown that the hippocampus, a part of the limbic system, plays an important role in the encoding and the retrieval of the episodic memory. This paper reviews computational models of the hippocampus and introduces our own computational model of human episodic memory based on neural synchronization. Results from computer simulations demonstrate that our model provides advantage for instantaneous memory formation and selective retrieval enabling memory search. Moreover, this model was found to have the ability to predict human memory recall by integrating human eye movement data during encoding. The combined approach between computational models and experiment is efficient for theorizing the human episodic memory.
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