海马神经网络模型中动态模式的存储和回忆

T. Horiguchi, H. Yokoyama
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引用次数: 2

摘要

我们通过扩展Araki和Aihara(1998)给出的三层神经网络模型,提出了海马系统的四层神经网络模型和五层神经网络模型,以引入CA3中自循环连接的影响,以及来自中隔的CA1和CA3中的胆碱能调节的影响。我们研究了在CA3中有或没有抑制连接的模型的动态模式的存储和回忆。我们澄清了两种不同的顺序模式,即存储和召回在提出的模型中成功,而在原始的三层模型中不成功。我们讨论了乙酰胆碱对内侧隔膜传递的CA1和CA3神经元的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Storage and recall of dynamical patterns in neural network models of hippocampus
We propose a four-layered neural network model and a five-layered neural network model for the hippocampal system by extending the three-layered model given by Araki and Aihara (1998), in order to introduce an effect of auto-recurrent connections in CA3 and also an effect of cholinergic modulation in CA1 and CA3 from the medial septum. We investigate the storage and the recall of dynamical patterns for the proposed models with or without inhibitory connections in CA3. We clarify two different sequential patterns that the storage and the recall succeeded for the proposed models, but not for the original three-layered model. We discuss an effect of acetylcholine to neurons in CA1 and CA3 transmitted from the medial septum.
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