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记忆印痕的计算框架。

A Computational Framework for Memory Engrams.

机构信息

Brain Mind Institute - School of Computer and Communication Sciences - School of Life Sciences, EPFL, Lausanne, Switzerland.

出版信息

Adv Neurobiol. 2024;38:237-257. doi: 10.1007/978-3-031-62983-9_13.

DOI:10.1007/978-3-031-62983-9_13
PMID:39008019
Abstract

Memory engrams in mice brains are potentially related to groups of concept cells in human brains. A single concept cell in human hippocampus responds, for example, not only to different images of the same object or person but also to its name written down in characters. Importantly, a single mental concept (object or person) is represented by several concept cells and each concept cell can respond to more than one concept. Computational work shows how mental concepts can be embedded in recurrent artificial neural networks as memory engrams and how neurons that are shared between different engrams can lead to associations between concepts. Therefore, observations at the level of neurons can be linked to cognitive notions of memory recall and association chains between memory items.

摘要

老鼠大脑中的记忆印痕与人类大脑中的概念细胞群可能存在关联。例如,人类海马体中的单个概念细胞不仅对同一物体或人物的不同图像做出反应,还对以字符形式写出的其名称做出反应。重要的是,单个心理概念(物体或人物)由几个概念细胞表示,并且每个概念细胞可以对多个概念做出反应。计算工作表明,如何将心理概念嵌入到作为记忆印痕的递归人工神经网络中,以及不同印痕之间共享的神经元如何导致概念之间的关联。因此,可以将神经元水平上的观察结果与记忆召回的认知概念以及记忆项之间的关联链联系起来。

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Attractor and integrator networks in the brain.大脑中的吸引子网络和整合器网络。
Nat Rev Neurosci. 2022 Dec;23(12):744-766. doi: 10.1038/s41583-022-00642-0. Epub 2022 Nov 3.
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When shared concept cells support associations: Theory of overlapping memory engrams.当共享的概念细胞支持联想时:重叠记忆印痕理论。
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Fundamental Law of Memory Recall.记忆召回的基本法则。
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PLoS Comput Biol. 2019 Jun 10;15(6):e1007122. doi: 10.1371/journal.pcbi.1007122. eCollection 2019 Jun.
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