Cotman C W, Lynch G S
Cognition. 1989 Nov;33(1-2):201-41. doi: 10.1016/0010-0277(89)90010-3.
The study of memory is a great challenge, perhaps the greatest in biological sciences. Memory involves changes in a tiny fraction of an extremely large pool of elements, a conclusion that makes the task of finding those changes using current technologies formidable. What can be done about this roadblock to neurological investigations of learning? One response that has become particularly productive in recent years is to study learning or learning-like phenomena in relatively simple "model" systems. The idea is to extract basic principles from these models in which molecular and anatomical details can be studied and then to use these in analyzing learning in higher regions of the brain. In this article we discuss current progress and emerging concepts derived from the simple system approach using animal models.
记忆研究是一项巨大的挑战,或许是生物科学中最大的挑战。记忆涉及到极其庞大的元素库中极小一部分的变化,这一结论使得利用现有技术找到这些变化的任务变得艰巨。对于学习的神经学研究中的这一障碍该如何应对呢?近年来一种成效尤为显著的应对方法是在相对简单的“模型”系统中研究学习或类似学习的现象。其理念是从这些能够研究分子和解剖学细节的模型中提取基本原理,然后将其用于分析大脑更高区域的学习过程。在本文中,我们将讨论源自使用动物模型的简单系统方法的当前进展和新兴概念。