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通过比较时频分析揭示的蛾类触角叶中峰电位序列的时间特征。

Temporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis.

作者信息

Capurro Alberto, Baroni Fabiano, Kuebler Linda S, Kárpáti Zsolt, Dekker Teun, Lei Hong, Hansson Bill S, Pearce Timothy C, Olsson Shannon B

机构信息

Department of Engineering, University of Leicester, Leicester, United Kingdom.

School of Psychology and Psychiatry, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia ; NeuroEngineering Laboratory, Department of Electrical & Electronic Engineering, University of Melbourne, Melbourne, Victoria, Australia ; Centre for Neural Engineering, University of Melbourne, Melbourne, Victoria, Australia.

出版信息

PLoS One. 2014 Jan 20;9(1):e84037. doi: 10.1371/journal.pone.0084037. eCollection 2014.

Abstract

The discrimination of complex sensory stimuli in a noisy environment is an immense computational task. Sensory systems often encode stimulus features in a spatiotemporal fashion through the complex firing patterns of individual neurons. To identify these temporal features, we have developed an analysis that allows the comparison of statistically significant features of spike trains localized over multiple scales of time-frequency resolution. Our approach provides an original way to utilize the discrete wavelet transform to process instantaneous rate functions derived from spike trains, and select relevant wavelet coefficients through statistical analysis. Our method uncovered localized features within olfactory projection neuron (PN) responses in the moth antennal lobe coding for the presence of an odor mixture and the concentration of single component odorants, but not for compound identities. We found that odor mixtures evoked earlier responses in biphasic response type PNs compared to single components, which led to differences in the instantaneous firing rate functions with their signal power spread across multiple frequency bands (ranging from 0 to 45.71 Hz) during a time window immediately preceding behavioral response latencies observed in insects. Odor concentrations were coded in excited response type PNs both in low frequency band differences (2.86 to 5.71 Hz) during the stimulus and in the odor trace after stimulus offset in low (0 to 2.86 Hz) and high (22.86 to 45.71 Hz) frequency bands. These high frequency differences in both types of PNs could have particular relevance for recruiting cellular activity in higher brain centers such as mushroom body Kenyon cells. In contrast, neurons in the specialized pheromone-responsive area of the moth antennal lobe exhibited few stimulus-dependent differences in temporal response features. These results provide interesting insights on early insect olfactory processing and introduce a novel comparative approach for spike train analysis applicable to a variety of neuronal data sets.

摘要

在嘈杂环境中辨别复杂的感觉刺激是一项艰巨的计算任务。感觉系统通常通过单个神经元复杂的放电模式以时空方式编码刺激特征。为了识别这些时间特征,我们开发了一种分析方法,该方法允许比较在多个时间频率分辨率尺度上定位的尖峰序列的统计显著特征。我们的方法提供了一种利用离散小波变换来处理从尖峰序列导出的瞬时速率函数,并通过统计分析选择相关小波系数的原始方法。我们的方法揭示了蛾类触角叶中嗅觉投射神经元(PN)反应中的局部特征,这些特征编码了气味混合物的存在和单一成分气味剂的浓度,但不编码化合物的身份。我们发现,与单一成分相比,气味混合物在双相反应型PN中诱发的反应更早,这导致了瞬时放电速率函数的差异,其信号功率在昆虫行为反应潜伏期之前的一个时间窗口内分布在多个频带(范围从0到45.71Hz)。气味浓度在刺激期间的低频带差异(2.86至5.71Hz)以及刺激抵消后的气味痕迹中,在兴奋反应型PN的低频(0至2.86Hz)和高频(22.86至45.71Hz)频带中进行编码。这两种类型的PN中的这些高频差异可能与募集诸如蘑菇体肯扬细胞等高级脑中枢中的细胞活动特别相关。相比之下,蛾类触角叶中专门的信息素反应区域的神经元在时间反应特征上几乎没有刺激依赖性差异。这些结果为早期昆虫嗅觉处理提供了有趣的见解,并引入了一种适用于各种神经元数据集的尖峰序列分析的新颖比较方法。

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