Feature Integration Drives Probabilistic Behavior in the Drosophila Escape Response
Feature Integration Drives Probabilistic Behavior in the Drosophila Escape Response
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DOI：
10.1016/j.neuron.2017.05.036
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发表时间：
2017-06
期刊：
影响因子：
16.2
通讯作者：
Catherine R. von Reyn;Aljoscha Nern;W. Williamson;Patrick Breads;Ming Wu;S. Namiki;G. Card
中科院分区：
文献类型：
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作者：
Catherine R. von Reyn;Aljoscha Nern;W. Williamson;Patrick Breads;Ming Wu;S. Namiki;G. Card
动物依靠专门的感觉回路来提取和编码环境特征。单个神经元如何整合这些特征并将其转化为行为反应仍然是一个主要问题。在这里，我们确定了一个视觉投射神经元类型，传达捕食者接近信息的果蝇巨纤维（GF）逃逸回路。在隐现刺激期间遗传去除这种输入揭示了它编码角膨胀速度，而其他输入细胞类型编码角大小。电机程序的选择和定时出现在GF内的这两个功能的线性集成。线性整合提高了先前模型的大小检测不变性，并适当地偏置电机选择快速，GF介导的逃生过程中快速织机。我们的研究结果表明，功能整合和运动控制可能发生在同一个神经元内的同时操作，并建立果蝇逃逸电路作为模型系统，其中这些计算可能会在电路层面上进一步解剖。视频摘要
Animals rely on dedicated sensory circuits to extract and encode environmental features. How individual neurons integrate and translate these features into behavioral responses remains a major question. Here, we identify a visual projection neuron type that conveys predator approach information to theDrosophilagiant fiber (GF) escape circuit. Genetic removal of this input during looming stimuli reveals that it encodes angular expansion velocity, whereas other input cell type(s) encode angular size. Motor program selection and timing emerge from linear integration of these two features within the GF. Linear integration improves size detection invariance over prior models and appropriately biases motor selection to rapid, GF-mediated escapes during fast looms. Our findings suggest feature integration, and motor control may occur as simultaneous operations within the same neuron and establish theDrosophilaescape circuit as a model system in which these computations may be further dissected at the circuit level.Video Abstract