Odor-driven attractor dynamics in the antennal lobe allow for simple and rapid olfactory pattern classification
Odor-driven attractor dynamics in the antennal lobe allow for simple and rapid olfactory pattern classification
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DOI：
10.1162/089976604773135078
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发表时间：
2004-05-01
影响因子：
2.9
通讯作者：
Herz, AVM
中科院分区：
文献类型：
--
作者：
Gal치n, RF;Sachse, S;Herz, AVM
昆虫触角叶在昆虫气味加工中起着重要作用，这一点已被电生理学和成像实验所证实。在这里，我们详细分析了蜜蜂触角叶肾小球活动模式的时间演变。我们将这些时空模式表示为多维空间中的轨迹，其中每个维度占一个肾小球的活动。我们的数据表明，轨迹达到气味特定的稳定状态（吸引子），对应于稳定的活动模式，在刺激开始后约1秒。正如详细的数学研究所揭示的那样，这些轨迹的特征在于不同的阶段：响应开始、稳态平台、响应偏移和自发活动时期。基于支持向量机的分析量化了吸引子的气味特异性和气味辨别所需的最佳时间。研究结果支持了触角叶中的空间嗅觉代码的假设，并提出了一种类似感知器的读出机制，该机制在生物学上是在下游网络中实现的，例如蘑菇体。
The antennal lobe plays a central role for odor processing in insects, as demonstrated by electrophysiological and imaging experiments. Here we analyze the detailed temporal evolution of glomerular activity patterns in the antennal lobe of honeybees. We represent these spatiotemporal patterns as trajectories in a multidimensional space, where each dimension accounts for the activity of one glomerulus. Our data show that the trajectories reach odor-specific steady states (attractors) that correspond to stable activity patterns at about 1 second after stimulus onset. As revealed by a detailed mathematical investigation, the trajectories are characterized by different phases: response onset, steady-state plateau, response offset, and periods of spontaneous activity. An analysis based on support-vector machines quantifies the odor specificity of the attractors and the optimal time needed for odor discrimination. The results support the hypothesis of a spatial olfactory code in the antennal lobe and suggest a perceptron-like readout mechanism that is biologically implemented in a downstream network, such as the mushroom body.