客体位置记忆的海马相进动神经网络模型

N. Sato, Y. Yamaguchi
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引用次数: 0

摘要

结果表明,行为时间序列的相编码以θ相进动的形式对海马的记忆储存具有很高的优势。本文将相位编码的神经动力学应用于人类典型的海马体依赖性记忆——物体位置记忆。我们假设视觉输入由视野中的中心结构和外围结构组成,它们分别对物体和场景进行编码。这些输入由眼跳运动产生的时间序列被发送到我们的海马网络。计算机实验结果表明,采用相位进动的方法可以实现对象位置记忆的瞬时存储。提示大鼠海马的相进动可能是人类海马记忆的一个基本机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A neural network model of the hippocampus with theta phase precession for object-place memory
We showed that phase coding of behavioral temporal sequences in the form of theta phase precession has high advantage for the memory storage in the hippocampus. In this paper the neural dynamics of phase coding is applied to object-place memory, a typical hippocampus dependent memory in human. We assume that visual input consists of central and peripheral structures in visual field which encode object and scene respectively. The temporal sequence these inputs generated by saccadic eye movement is sent to our hippocampal network. Results of our computer experiments demonstrate that object-place memory can be instantaneously stored by phase precession dynamics. It is suggested that the phase precession in rat hippocampus could be generalized as a fundamental mechanism in human hippocampal memory.
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