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The representational-hierarchical view of pattern separation: Not just hippocampus, not just space, not just memory?

机译:模式分离的表示层次视图:不只是海马,不只是空间,还不仅仅是记忆?

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Pattern separation (PS) has been defined as a process of reducing overlap between similar input patterns to minimize interference amongst stored representations. The present article describes this putative PS process from the "representational-hierarchical" perspective (R-H), which uses a hierarchical continuum instead of a cognitive modular processing framework to describe the organization of the ventral visual perirhinal-hippocampal processing stream. Instead of trying to map psychological constructs onto anatomical modules in the brain, the R-H model suggests that the function of brain regions depends upon what representations they contain. We begin by discussing a main principle of the R-H framework, the resolution of "ambiguity" of lower level representations via the formation of unique conjunctive representations in higher level areas, and how this process is remarkably similar to definitions of PS. Work from several species and experimental approaches suggest that this principle of resolution of ambiguity via conjunctive representations has considerable explanatory power, leads to wide possibilities for experimentation, and also supports some perhaps surprising conclusions. (C) 2016 Published by Elsevier Inc.
机译:模式分离(PS)已被定义为减少相似输入模式之间的重叠以最大程度地减少存储表示之间的干扰的过程。本文从“代表性-层次”角度(R-H)描述了这种假定的PS过程,该过程使用层次连续体而不是认知模块化处理框架来描述腹侧视觉周围神经-海马体处理流的组织。 R-H模型不是试图将心理结构映射到大脑的解剖模块上,而是建议大脑区域的功能取决于它们所包含的表示形式。我们首先讨论R-H框架的主要原理,通过在较高级别区域中形成唯一的联合表示来解决较低级别表示的“歧义”,以及该过程如何与PS的定义非常相似。来自多个物种和实验方法的研究表明,通过合取表示来解决歧义的这一原理具有相当大的解释力,带来了广泛的实验可能性,并且还支持了一些令人惊讶的结论。 (C)2016由Elsevier Inc.发布

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