昆虫触角叶气味速率编码的快速动力学
Fast dynamics of odor rate coding in the insect antennal lobe
摘要：
昆虫识别和评估行为相关的气味在复杂的自然场景中的气味浓度和混合物组成可以迅速变化。在蜜蜂中，激活和失活投射神经元（PN）的组合代码在神经整合的第一级（触角叶（AL））在数十毫秒内迅速发育。在神经群体代码和单个神经元的放电率曲线中观察到的相位紧张性刺激反应动力学被两种替代模型忠实地捕获，这两种模型依赖于短期突触抑制或尖峰频率适应。这两种机制都是独立工作的，可能与侧抑制平行。局部中间神经元的短反应潜伏期表明，AL网络内的局部处理依赖于快速侧抑制，可以有效地抑制单个PN中的特异性气味反应。回顾最近在不同昆虫物种中获得的研究结果，我们得出结论，昆虫嗅觉系统实现了一个快速和可靠的编码方案优化的行为相关的动态范围内随时间变化的输入。
英文摘要：
Insects identify and evaluate behaviorally relevant odorants in complex natural scenes where odor concentrations and mixture composition can change rapidly. In the honeybee, a combinatorial code of activated and inactivated projection neurons (PNs) develops rapidly within tens of milliseconds at the first level of neural integration, the antennal lobe (AL). The phasic-tonic stimulus-response dynamics observed in the neural population code and in the firing rate profiles of single neurons is faithfully captured by two alternative models which rely either on short-term synaptic depression, or on spike frequency adaptation. Both mechanisms work independently and possibly in parallel to lateral inhibition. Short response latencies in local interneurons indicate that local processing within the AL network relies on fast lateral inhibition that can suppress effectively and specifically odor responses in single PNs. Reviewing recent findings obtained in different insect species, we conclude that the insect olfactory system implements a fast and reliable coding scheme optimized for time-varying input within the behaviorally relevant dynamic range.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
