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昆虫大脑中一个学习与记忆中心的完整连接组。

The complete connectome of a learning and memory centre in an insect brain.

作者信息

Eichler Katharina, Li Feng, Litwin-Kumar Ashok, Park Youngser, Andrade Ingrid, Schneider-Mizell Casey M, Saumweber Timo, Huser Annina, Eschbach Claire, Gerber Bertram, Fetter Richard D, Truman James W, Priebe Carey E, Abbott L F, Thum Andreas S, Zlatic Marta, Cardona Albert

机构信息

Howard Hughes Medical Institute Janelia Research Campus, 19700 Helix Drive, Ashburn, Virginia 20147, USA.

Department of Biology, University of Konstanz, Universitätsstrasse 10, 78464 Konstanz, Germany.

出版信息

Nature. 2017 Aug 9;548(7666):175-182. doi: 10.1038/nature23455.

Abstract

Associating stimuli with positive or negative reinforcement is essential for survival, but a complete wiring diagram of a higher-order circuit supporting associative memory has not been previously available. Here we reconstruct one such circuit at synaptic resolution, the Drosophila larval mushroom body. We find that most Kenyon cells integrate random combinations of inputs but that a subset receives stereotyped inputs from single projection neurons. This organization maximizes performance of a model output neuron on a stimulus discrimination task. We also report a novel canonical circuit in each mushroom body compartment with previously unidentified connections: reciprocal Kenyon cell to modulatory neuron connections, modulatory neuron to output neuron connections, and a surprisingly high number of recurrent connections between Kenyon cells. Stereotyped connections found between output neurons could enhance the selection of learned behaviours. The complete circuit map of the mushroom body should guide future functional studies of this learning and memory centre.

摘要

将刺激与正性或负性强化联系起来对生存至关重要,但此前尚未有支持联想记忆的高阶回路的完整布线图。在此,我们以突触分辨率重建了一个这样的回路,即果蝇幼虫蘑菇体。我们发现,大多数肯扬细胞整合随机组合的输入,但有一个子集接收来自单个投射神经元的刻板输入。这种组织方式使模型输出神经元在刺激辨别任务中的性能最大化。我们还报告了每个蘑菇体区室中一个新的典型回路,其具有先前未识别的连接:肯扬细胞与调节神经元之间的相互连接、调节神经元与输出神经元之间的连接,以及肯扬细胞之间数量惊人的递归连接。在输出神经元之间发现的刻板连接可能会增强对习得行为的选择。蘑菇体的完整电路图应能指导对这个学习和记忆中心未来的功能研究。

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