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A Programmable Model for Exploring the Functional Logic of the Drosophila Mushroom Body

A Programmable Model for Exploring the Functional Logic of the Drosophila Mushroom Body

来源:bioRxiv_logobioRxiv
英文摘要

We advance a model of the Mushroom Body of the Drosophila brain based on the recently published fruit fly brain connectome. We quantify the effect of the connectivity from antennal lobe projection neurons to Kenyon Cells (KCs) and the effect of feedback between KCs and the anterior paired lateral (APL) neuron on the representation of odorants at the KC level. We then characterize odorant representation in the mushroom body output neurons (MBONs) as a function of semantics represented by the dopaminergic neurons (DANs). Finally, we evaluate the performance of associative learning in the MB that endows pure odorants with DAN semantics.

Turkcan Mehmet Kerem、Zhou Yiyin、Lazar Aurel A

10.1101/2022.09.10.506218

生物科学研究方法、生物科学研究技术昆虫学分子生物学

Turkcan Mehmet Kerem,Zhou Yiyin,Lazar Aurel A.A Programmable Model for Exploring the Functional Logic of the Drosophila Mushroom Body[EB/OL].(2025-03-28)[2025-05-11].https://www.biorxiv.org/content/10.1101/2022.09.10.506218.点此复制

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