Contributions of the 12 Neuron Classes in the Fly Lamina to Motion Vision
Contributions of the 12 Neuron Classes in the Fly Lamina to Motion Vision
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DOI：
10.1016/j.neuron.2013.05.024
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发表时间：
2013-07-10
期刊：
影响因子：
16.2
通讯作者：
Reiser, Michael B.
中科院分区：
文献类型：
--
作者：
Tuthill, John C.;Nern, Aljoscha;Reiser, Michael B.
运动检测是许多感官系统执行的基本神经计算。在飞行中，局部运动计算被认为发生在视觉系统的前两层，即板层和髓质。我们为椎板中的12个神经元类别中的每一个构建了特定的遗传驱动线。然后我们去极化和超极化每种神经元类型，并量化苍蝇对一组不同运动刺激的行为反应。我们发现，只有少数的板层输出神经元是运动检测所必需的，而大多数神经元则用于塑造和增强这些前馈通路。定向运动刺激的正常检测需要两类反馈神经元(C2和C3)和板层输出神经元(L2和L4)。我们的结果揭示了反馈和横向交互在运动处理中的突出作用，并表明运动依赖行为依赖于几乎所有板层神经元类别的贡献。
Motion detection is a fundamental neural computation performed by many sensory systems. In the fly, local motion computation is thought to occur within the first two layers of the visual system, the lamina and medulla. We constructed specific genetic driver lines for each of the 12 neuron classes in the lamina. We then depolarized and hyperpolarized each neuron type and quantified fly behavioral responses to a diverse set of motion stimuli. We found that only a small number of lamina output neurons are essential for motion detection, while most neurons serve to sculpt and enhance these feedforward pathways. Two classes of feedback neurons (C2 and C3), and lamina output neurons (L2 and L4), are required for normal detection of directional motion stimuli. Our results reveal a prominent role for feedback and lateral interactions in motion processing and demonstrate that motion-dependent behaviors rely on contributions from nearly all lamina neuron classes..