Abstract：
A deep understanding of how the brain controls behaviour requires mapping neural circuits down to the muscles that they control. Here, we apply automated tools to segment neurons and identify synapses in an electron microscopy dataset of an adult female Drosophila melanogaster ventral nerve cord (VNC)1, which functions like the vertebrate spinal cord to sense and control the body. We find that the fly VNC contains roughly 45 million synapses and 14,600 neuronal cell bodies. To interpret the output of the connectome, we mapped the muscle targets of leg and wing motor neurons using genetic driver lines2 and X-ray holographic nanotomography3. With this motor neuron atlas, we identified neural circuits that coordinate leg and wing movements during take-off. We provide the reconstruction of VNC circuits, the motor neuron atlas and tools for programmatic and interactive access as resources to support experimental and theoretical studies of how the nervous system controls behaviour.
摘要：
深入了解大脑如何控制行为需要将神经回路映射到它们控制的肌肉。这里,我们应用自动化工具在成年雌性果蝇腹腹侧神经索(VNC)1的电子显微镜数据集中分割神经元并识别突触,该神经索的功能类似于脊椎动物的脊髓来感知和控制身体.我们发现果蝇VNC包含大约4500万个突触和14,600个神经元细胞体。要解释连接体的输出，我们使用遗传驱动线2和X射线全息纳米图谱3绘制了腿和翼运动神经元的肌肉靶标。有了这个运动神经元图谱，我们确定了起飞时协调腿部和机翼运动的神经回路.我们提供VNC电路的重构，运动神经元图集和编程和交互式访问工具，作为支持神经系统如何控制行为的实验和理论研究的资源。
