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Feature Extraction by Burst-Like Spike Patterns in Multiple Sensory Maps

机译:多个感官地图中类似突发模式的特征提取

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摘要

In most sensory systems, higher order central neurons extract those stimulus features from the sensory periphery that are behaviorally relevant (e.g., ; ). Recent studies have quantified the time-varying information carried by spike trains of sensory neurons in various systems using stimulus estimation methods (; ). Here, we address the question of how this information is transferred from the sensory neuron level to higher order neurons across multiple sensory maps by using the electrosensory system in weakly electric fish as a model. To determine how electric field amplitude modulations are temporally encoded and processed at two subsequent stages of the amplitude coding pathway, we recorded the responses of P-type afferents and E- and I-type pyramidal cells in the electrosensory lateral line lobe (ELL) to random distortions of a mimic of the fish’s own electric field. Cells in two of the three somatotopically organized ELL maps were studied (centromedial and lateral) (; ). Linear and second order nonlinear stimulus estimation methods indicated that in contrast to P-receptor afferents, pyramidal cells did not reliably encode time-varying information about any function of the stimulus obtained by linear filtering and half-wave rectification. Two pattern classifiers were applied to discriminate stimulus waveforms preceding the occurrence or nonoccurrence of pyramidal cell spikes in response to the stimulus. These signal-detection methods revealed that pyramidal cells reliably encoded the presence of upstrokes and downstrokes in random amplitude modulations by short bursts of spikes. Furthermore, among the different cell types in the ELL, I-type pyramidal cells in the centromedial map performed a better pattern-recognition task than those in the lateral map and than E-type pyramidal cells in either map.
机译:在大多数感觉系统中,较高阶的中枢神经元从感觉外围提取与行为相关的那些刺激特征(例如;)。最近的研究已经使用刺激估计方法量化了各种系统中感觉神经元的尖峰序列所携带的时变信息。在这里,我们解决的问题是如何通过使用弱电鱼中的电感应系统作为模型,将这些信息如何从多个感官图上的感觉神经元水平传递到更高阶的神经元。为了确定在振幅编码途径的两个后续阶段如何对电场振幅调制进行时间编码和处理,我们记录了电感应侧线叶(ELL)中P型传入神经和E型和I型锥体细胞对鱼自身电场的模拟的随机变形。研究了三个体位组织的ELL图中的两个的细胞(中心向和侧面)(;)。线性和二阶非线性刺激估计方法表明,与P受体传入不同,锥体细胞不能可靠地编码有关通过线性滤波和半波整流获得的刺激的任何功能的时变信息。应用了两种模式分类器,以区分在响应刺激而锥体细胞尖峰出现或不出现之前的刺激波形。这些信号检测方法表明,金字塔细胞通过短时尖峰脉冲以随机幅度调制方式可靠地编码了上冲和下冲的存在。此外,在ELL中不同的细胞类型中,与侧向图中的I型锥体细胞和任一图中的E型金字塔形细胞相比,中心向图中的I型锥体细胞执行的模式识别任务更好。

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