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Special issue on computational models of classical conditioning guest editors' introduction

机译：经典条件客座编辑介绍的计算模型特刊

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摘要

In the present special issue, the performance of current computational models of classical conditioning was evaluated under three requirements: (1) Models were to be tested against a list of previously agreed-upon phenomena; (2) the parameters were fixed across simulations; and (3) the simulations used to test the models had to be made available. These requirements resulted in three major products: (a) a list of fundamental classical-conditioning results for which there is a consensus about their reliability; (b) the necessary information to evaluate each of the models on the basis of its ordinal successes in accounting for the experimental data; and (c) a repository of computational models ready to generate simulations. We believe that the contents of this issue represent the 2012 state of the art in computational modeling of classical conditioning and provide a way to find promising avenues for future model development.
机译：在本期特刊中，当前的经典条件计算模型的性能在以下三个条件下进行了评估：（1）对模型进行一系列先前已同意的现象的测试; （2）参数在整个仿真过程中是固定的; （3）必须提供用于测试模型的仿真。这些要求产生了三个主要产品：（a）一系列基本经典条件结果，这些结果对其可靠性达成共识; （b）必要的信息，以便根据其在统计实验数据方面的常规成功来评估每个模型; （c）准备好生成模拟的计算模型的资料库。我们相信，本期的内容代表了2012年经典条件的计算建模中的最新技术，并为寻找有希望的未来模型开发途径提供了一种方法。

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