论文标题
使用概念器之间的长期和短期记忆之间转移
Transfer between long-term and short-term memory using Conceptors
论文作者
论文摘要
我们介绍了一个复发性的神经网络模型，以结合短期和长期组成部分的工作记忆模型。 E短期组件是使用封闭式储层模型建模的，该模型经过训练以在栅极信号打开时从输入流中持有值。 E长期组件是使用概念器建模的，以存储内部时间模式（与值相对应）。我们结合了这两个组件，以获取一个模型，其中信息可以从长期记忆转变为短期记忆，反之亦然，我们展示了概念上的标准操作如何允许结合长期记忆并描述其对短期记忆的影响。
We introduce a recurrent neural network model of working memory combining short-term and long-term components. e short-term component is modelled using a gated reservoir model that is trained to hold a value from an input stream when a gate signal is on. e long-term component is modelled using conceptors in order to store inner temporal patterns (that corresponds to values). We combine these two components to obtain a model where information can go from long-term memory to short-term memory and vice-versa and we show how standard operations on conceptors allow to combine long-term memories and describe their effect on short-term memory.
