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循环:将预测误差和语义/情景理论纳入果蝇联想记忆模型。

Recurrent loops: Incorporating prediction error and semantic/episodic theories into Drosophila associative memory models.

机构信息

Department of higher brain functions and dementias, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.

出版信息

Genes Brain Behav. 2019 Nov;18(8):e12567. doi: 10.1111/gbb.12567. Epub 2019 Apr 5.

Abstract

In 2003, Martin Heisenberg et al. presented a model of how associative memories could be encoded and stored in the insect brain. This model was extremely influential in the Drosophila memory field, but did not incorporate several important mammalian concepts, including ideas of separate episodic and semantic types of memory and prediction error hypotheses. In addition, at that time, the concept of memory traces recurrently entering and exiting the mushroom bodies, brain areas where associative memories are formed and stored, was unknown. In this review, I present a simple updated model incorporating these ideas, which may be useful for future studies.

摘要

2003 年,Martin Heisenberg 等人提出了一个关于联想记忆如何在昆虫大脑中编码和存储的模型。该模型在果蝇记忆领域产生了极大的影响,但并未纳入几个重要的哺乳动物概念,包括关于独立的情节和语义记忆类型以及预测误差假说的观点。此外,当时,关于记忆痕迹反复进入和离开蘑菇体(形成和存储联想记忆的大脑区域)的概念还不为人知。在这篇综述中,我提出了一个简单的更新模型,纳入了这些观点,这可能对未来的研究有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc4/6900151/1969e7af894b/GBB-18-na-g001.jpg

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