Department of Computing Science and Mathematics, University of Stirling, Stirling, UK.
Neural Netw. 2009 Oct;22(8):1120-8. doi: 10.1016/j.neunet.2009.07.009. Epub 2009 Jul 18.
The hippocampus is one of the most widely studied brain region. One of its functional roles is the storage and recall of declarative memories. Recent hippocampus research has yielded a wealth of data on network architecture, cell types, the anatomy and membrane properties of pyramidal cells and interneurons, and synaptic plasticity. Understanding the functional roles of different families of hippocampal neurons in information processing, synaptic plasticity and network oscillations poses a great challenge but also promises deep insight into one of the major brain systems. Computational and mathematical models play an instrumental role in exploring such functions. In this paper, we provide an overview of abstract and biophysical models of associative memory with particular emphasis on the operations performed by the diverse (inter)neurons in encoding and retrieval of memories in the hippocampus.
海马体是研究最为广泛的大脑区域之一。其功能之一是存储和回忆陈述性记忆。最近的海马体研究产生了大量关于网络架构、细胞类型、锥体和中间神经元的解剖结构和膜特性以及突触可塑性的数据。理解不同类型海马体神经元在信息处理、突触可塑性和网络振荡中的功能作用，这是一个巨大的挑战，但也有望深入了解主要的大脑系统之一。计算和数学模型在探索这些功能方面发挥了重要作用。在本文中，我们提供了一个关于联想记忆的抽象和生物物理模型的概述，特别强调了不同（中间）神经元在海马体中记忆编码和检索过程中的操作。
