Connecting Neural Codes with Behavior in the Auditory System of Drosophila
Connecting Neural Codes with Behavior in the Auditory System of Drosophila
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DOI：
10.1016/j.neuron.2015.08.014
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发表时间：
2015-09-23
期刊：
影响因子：
16.2
通讯作者：
Murthy, Mala
中科院分区：
文献类型：
--
作者：
Clemens, Jan;Girardin, Cyrille C.;Murthy, Mala
大脑被优化用于处理与行为学相关的感觉信号。然而，很少有研究的特点，神经编码机制的基础，从自然的感觉信息的行为转化。在这里，我们专注于在果蝇的声学通信和使用计算建模自然的求爱歌曲，神经元代码，和女性的行为反应的歌曲。我们发现，黑腹雌鱼是敏感的长时间尺度的歌曲结构（几十秒的顺序）。从细胞内记录中，我们生成了概括对声音刺激的神经反应的模型。我们通过生成对自然求偶歌曲的模型神经反应，将这些神经代码与女性行为联系起来。使用一个简单的解码器，我们预测女性的行为反应相同的歌曲刺激具有较高的准确性。我们的建模方法揭示了长时间尺度的歌曲功能是由果蝇大脑和神经表征如何可以被解码，以产生声学通信信号的行为选择性。
Brains are optimized for processing ethologically relevant sensory signals. However, few studies have characterized the neural coding mechanisms that underlie the transformation from natural sensory information to behavior. Here, we focus on acoustic communication in Drosophila melanogaster and use computational modeling to link natural courtship song, neuronal codes, and female behavioral responses to song. We show that melanogaster females are sensitive to long timescale song structure (on the order of tens of seconds). From intracellular recordings, we generate models that recapitulate neural responses to acoustic stimuli. We link these neural codes with female behavior by generating model neural responses to natural courtship song. Using a simple decoder, we predict female behavioral responses to the same song stimuli with high accuracy. Our modeling approach reveals how long timescale song features are represented by the Drosophila brain and how neural representations can be decoded to generate behavioral selectivity for acoustic communication signals.