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多层次多模态电路增强果蝇的动作选择。

A multilevel multimodal circuit enhances action selection in Drosophila.

机构信息

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

出版信息

Nature. 2015 Apr 30;520(7549):633-9. doi: 10.1038/nature14297. Epub 2015 Apr 20.

Abstract

Natural events present multiple types of sensory cues, each detected by a specialized sensory modality. Combining information from several modalities is essential for the selection of appropriate actions. Key to understanding multimodal computations is determining the structural patterns of multimodal convergence and how these patterns contribute to behaviour. Modalities could converge early, late or at multiple levels in the sensory processing hierarchy. Here we show that combining mechanosensory and nociceptive cues synergistically enhances the selection of the fastest mode of escape locomotion in Drosophila larvae. In an electron microscopy volume that spans the entire insect nervous system, we reconstructed the multisensory circuit supporting the synergy, spanning multiple levels of the sensory processing hierarchy. The wiring diagram revealed a complex multilevel multimodal convergence architecture. Using behavioural and physiological studies, we identified functionally connected circuit nodes that trigger the fastest locomotor mode, and others that facilitate it, and we provide evidence that multiple levels of multimodal integration contribute to escape mode selection. We propose that the multilevel multimodal convergence architecture may be a general feature of multisensory circuits enabling complex input-output functions and selective tuning to ecologically relevant combinations of cues.

摘要

自然事件呈现出多种类型的感觉提示,每种感觉提示都由专门的感觉模态来检测。结合来自多个模态的信息对于选择适当的动作至关重要。理解多模态计算的关键是确定多模态汇聚的结构模式,以及这些模式如何促成行为。模态可以在感觉处理层次结构的早期、晚期或多个层次上汇聚。在这里,我们表明,机械感觉和伤害感受提示的结合协同增强了果蝇幼虫最快逃离运动模式的选择。在跨越整个昆虫神经系统的电子显微镜体积中,我们重建了支持协同作用的多感觉回路,跨越了感觉处理层次结构的多个层次。布线图显示了一个复杂的多层次多模态汇聚架构。使用行为和生理研究,我们确定了触发最快运动模式的功能连接的电路节点,以及其他促进该模式的节点,并提供了证据表明,多个层次的多模态整合有助于逃离模式的选择。我们提出,多层次多模态汇聚架构可能是多感觉回路的一个普遍特征,使复杂的输入-输出功能和对生态相关的提示组合的选择性调整成为可能。

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