Flexible filtering by neural inputs supports motion computation across states and stimuli.
Flexible filtering by neural inputs supports motion computation across states and stimuli.
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DOI：
10.1016/j.cub.2021.09.061
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发表时间：
2021-12-06
期刊：
影响因子：
--
通讯作者：
Behnia R
中科院分区：
文献类型：
--
作者：
Kohn JR;Portes JP;Christenson MP;Abbott LF;Behnia R
感觉系统在各种环境和行为条件下灵活地调整其处理特性。这样的变量处理复杂化试图提取感官计算的机械理解。这在高度受限的、规范的果蝇运动检测电路中是显而易见的，尽管进行了广泛的研究，但方向选择性的核心计算仍然存在争议。在这里，我们测量了果蝇中关闭运动检测T5细胞的神经输入的过滤特性。我们报告这些信号的形状的状态和刺激依赖性的变化，在特定条件下变得更加双相。总结这些输入的框架内的连接约束模型的电路表明，这些形状足以解释T5的各种运动刺激的反应。因此，我们的刺激和状态相关的测量协调运动计算与电路的解剖。这些发现为基本电路如何支持灵活的感觉计算提供了一个清晰的例子。Kohn，Portes等人测量了果蝇T5运动检测器的神经输入的状态和刺激依赖性高时间分辨率响应。他们表明，兴奋性自适应神经输入信号的简单线性求和足以解释各种条件下的方向选择性反应。
Sensory systems flexibly adapt their processing properties across a wide range of environmental and behavioral conditions. Such variable processing complicates attempts to extract mechanistic understanding of sensory computations. This is evident in the highly constrained, canonical Drosophila motion detection circuit, where the core computation underlying direction selectivity is still debated despite extensive studies. Here, we measured the filtering properties of neural inputs to the OFF motion-detecting T5 cell in Drosophila. We report state- and stimulus-dependent changes in the shape of these signals, which become more biphasic under specific conditions. Summing these inputs within the framework of a connectomic-constrained model of the circuit demonstrates that these shapes are sufficient to explain T5 responses to various motion stimuli. Thus, our stimulus- and state-dependent measurements reconcile motion computation with the anatomy of the circuit. These findings provide a clear example of how a basic circuit supports flexible sensory computation. Kohn, Portes et al. measure state and stimulus dependent high temporal resolution responses of neural inputs to the Drosophila T5 motion detector. They show that simple linear summation of excitatory adaptive neural input signals is sufficient to explain direction selective responses across conditions.
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