Stimulus Representation in Associative Learning: Testing a New Computational Model

这项研究调查了动物在了解世界中事件之间存在的联系时是如何表达它们的经历的。这对于我们理解联想学习是至关重要的，也将为指导研究学习的神经基础提供有价值的理论知识。它还将对人工智能和认知神经科学项目中计算模型的发展，以及将学习原理应用于临床环境（如恐惧症和毒瘾的治疗）产生重要影响。

This research investigates how animals represent their experiences when learning about the associations that exist between events in their world. This is crucial for our understanding of associative learning in general, and will also provide valuable theoretical knowledge to guide research into the neural basis of learning. It will also have important implications for the development of computational models in artificial intelligence and cognitive neuroscience programmes, and for applications of learning principles to clinical settings (such as the treatment of phobias and drug addiction).