论文标题
基于时间变化表示的形式记忆模型
Formal models of memory based on temporally-varying representations
论文作者
论文摘要
记忆行为依赖于逐渐改变的内部状态的想法在数学心理学方面具有悠久的历史。本章从1950年代的统计学习理论，通过20世纪后期和21世纪初的分布式记忆模型到基于规模不变的时间历史的现代模型，从而追溯了这种思想。我们讨论与这种表示形式一致的神经现象，并勾勒出可以使用它来构建的认知模型的种类，并与各种内存任务的正式模型进行连接。
The idea that memory behavior relies on a gradually-changing internal state has a long history in mathematical psychology. This chapter traces this line of thought from statistical learning theory in the 1950s, through distributed memory models in the latter part of the 20th century and early part of the 21st century through to modern models based on a scale-invariant temporal history. We discuss the neural phenomena consistent with this form of representation and sketch the kinds of cognitive models that can be constructed using it and connections with formal models of various memory tasks.
