Sahley C L
Department of Biological Sciences, Purdue University, West Lafayette, Indiana 47907, USA.
J Neurobiol. 1995 Jul;27(3):434-45. doi: 10.1002/neu.480270314.
The use of invertebrate preparations has contributed greatly to our understanding of the neural basis of learning. The leech is especially useful for studying behavioral changes and their underlying neuronal mechanisms. Learning in the leech is essentially identical to that found in other animals, both vertebrate and invertebrate. Using anatomical and physiological techniques on leeches as they learn, we have begun to characterize the properties of individual neurons and neuronal networks that play a role in learning. We have been able to show two neuronal mechanisms that have not been previously associated with associative conditioning. The first has to do with the importance of contingency: one stimulus [the conditional stimulus (CS)] becomes associated with a second stimulus [the unconditional stimulus, (US)] in proportion to the ability of the CS to predict the US. We have found that important properties for encoding predictability, such as circuit reconfiguration, may lie in the US pathway. The firing of the serotonergic Retzius cells is taken as the US; consistent CS prediction of a US prevents "dropout" of a critical component of one US pathway. Throughout training, predicted USs continue to elicit a barrage of action potentials in these cells. Recurring unpredicted USs degrade both the learning and the response of the Retzius cell to the US. A second insight is that at least two US pathways contribute to learning, the Retzius cell pathway and the nociceptive (N) cell pathway. This second pathway persists after the elimination of the Retzius cell pathway. The observation of multiple US pathways raises a host of issues concerning CS-US convergence and the functional significance of distinct US pathways, and our results are discussed in terms of implications to current models of learning.
无脊椎动物制剂的使用极大地促进了我们对学习神经基础的理解。水蛭对于研究行为变化及其潜在的神经元机制特别有用。水蛭的学习与其他动物(包括脊椎动物和无脊椎动物)的学习基本相同。通过在水蛭学习过程中运用解剖学和生理学技术,我们已开始描绘在学习中起作用的单个神经元和神经元网络的特性。我们已经能够展示两种以前未与联合条件作用相关联的神经元机制。第一种与偶然性的重要性有关:一种刺激[条件刺激(CS)]与第二种刺激[无条件刺激(US)]的关联程度与CS预测US的能力成正比。我们发现,用于编码可预测性的重要特性,如电路重新配置,可能存在于US通路中。血清素能Retzius细胞的放电被视为US;对US的持续CS预测可防止一条US通路关键成分的“缺失”。在整个训练过程中,预测的USs继续在这些细胞中引发一连串动作电位。反复出现的不可预测的USs会降低Retzius细胞对US的学习和反应。第二个发现是,至少有两条US通路对学习有贡献,即Retzius细胞通路和伤害性(N)细胞通路。在消除Retzius细胞通路后,第二条通路仍然存在。多条US通路的观察引发了一系列关于CS-US汇聚以及不同US通路功能意义的问题,我们将根据这些结果对当前学习模型的影响进行讨论。