感知和记忆的模型

Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki
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引用次数: 7

摘要

我们分析了感知和记忆之间的密切联系。我们的主要假设是,人类大脑的一些主要记忆系统,如情景记忆、语义记忆,在某种程度上还有工作记忆,是人类需要逐渐从感官输入中提取更有意义和更复杂的信息的副产品。我们的模型是张量记忆方法的扩展。关键概念是实体、概念、关系和时间实例的索引表示、与索引相关的嵌入、工作记忆层和感觉记忆层。感知和记忆是作为不同层次之间的相互作用而实现的。我们的模型与其他技术解决方案相比具有竞争力,而且正如我们所说的,在生物学上是合理的。我们的实验表明,语义记忆可以从感知进化为一个可区分的功能模块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Model for Perception and Memory
We analyze the close link between perception and memory. Our main hypothesis is that some of the main memory systems of the human brain, e.g., the episodic memory, the semantic memory, and to some degree also the working memory, are by-products of the need for humans to gradually extract more meaningful and more complex information from sensory inputs. Our model is an extension to the tensor memory approach. The key notions are index representations for entities, concepts, relationships and time instances, embeddings associated with the indices, a working memory layer, and a sensory memory layer. Perception and memory are realized as an interplay between the different layers. Our model is both competitive to other technical solutions and, as we argue, biologically plausible. Our experiments demonstrate that semantic memory can evolve from perception as a distinguishable functional module.
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