Migliore M, Alicata F, Ayala G F
Institute for Interdisciplinary Applications of Physics, National Research Council, Palermo, Italy.
J Comput Neurosci. 1995 Dec;2(4):335-43. doi: 10.1007/BF00961444.
A computational model of long-term potentiation (LTP) and long-term depression (LTD) in the hippocampus is presented. The model assumes the existence of retrograde signals, is in good agreement with several experimental data on LTP, LTD, and their pharmacological manipulations, and shows how a simple kinetic scheme can capture the essential characteristics of the processes involved in LTP and LTD. We propose that LTP and LTD could be two different but conceptually similar processes, induced by the same class of retrograde signals, and maintained by two distinct mechanisms. An interpretation of a number of experiments in terms of the molecular processes involved in LTP and LTD induction and maintenance, and the roles of a retrograde signal are presented and discussed.
本文提出了一种海马体中长期增强（LTP）和长期抑制（LTD）的计算模型。该模型假定存在逆行信号，与关于LTP、LTD及其药理学操作的若干实验数据高度吻合，并展示了一个简单的动力学方案如何能够捕捉LTP和LTD所涉及过程的基本特征。我们提出，LTP和LTD可能是两个不同但概念上相似的过程，由同一类逆行信号诱导，并由两种不同的机制维持。本文根据LTP和LTD诱导与维持过程中涉及的分子过程以及逆行信号的作用，对一些实验进行了解释并展开讨论。
