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蟋蟀机械感觉处理的计算机制

Computational mechanisms of mechanosensory processing in the cricket.

作者信息

Jacobs Gwen A, Miller John P, Aldworth Zane

机构信息

Center for Computational Biology, 1 Lewis Hall, Montana State University, Bozeman, MT 59717, USA.

出版信息

J Exp Biol. 2008 Jun;211(Pt 11):1819-28. doi: 10.1242/jeb.016402.

DOI:10.1242/jeb.016402
PMID:18490398
Abstract

Crickets and many other orthopteran insects face the challenge of gathering sensory information from the environment from a set of multi-modal sensory organs and transforming these stimuli into patterns of neural activity that can encode behaviorally relevant stimuli. The cercal mechanosensory system transduces low frequency air movements near the animal's body and is involved in many behaviors including escape from predators, orientation with respect to gravity, flight steering, aggression and mating behaviors. Three populations of neurons are sensitive to both the direction and dynamics of air currents: an array of mechanoreceptor-coupled sensory neurons, identified local interneurons and identified projection interneurons. The sensory neurons form a functional map of air current direction within the central nervous system that represents the direction of air currents as three-dimensional spatio-temporal activity patterns. These dynamic activity patterns provide excitatory input to interneurons whose sensitivity and spiking output depend on the location of the neuronal arbors within the sensory map and the biophysical and electronic properties of the cell structure. Sets of bilaterally symmetric interneurons can encode the direction of an air current stimulus by their ensemble activity patterns, functioning much like a Cartesian coordinate system. These interneurons are capable of responding to specific dynamic stimuli with precise temporal patterns of action potentials that may encode these stimuli using temporal encoding schemes. Thus, a relatively simple mechanosensory system employs a variety of complex computational mechanisms to provide the animal with relevant information about its environment.

摘要

蟋蟀和许多其他直翅目昆虫面临着从一组多模态感觉器官收集来自环境的感官信息,并将这些刺激转化为神经活动模式的挑战,这些神经活动模式可以编码与行为相关的刺激。尾须机械感觉系统可转换动物身体附近的低频空气流动,并参与许多行为,包括逃避捕食者、相对于重力的定向、飞行转向、攻击和交配行为。有三类神经元对气流的方向和动态都敏感:一系列与机械感受器耦合的感觉神经元、已识别的局部中间神经元和已识别的投射中间神经元。感觉神经元在中枢神经系统内形成气流方向的功能图谱,将气流方向表示为三维时空活动模式。这些动态活动模式为中间神经元提供兴奋性输入,其敏感性和脉冲输出取决于感觉图谱内神经元树突的位置以及细胞结构的生物物理和电学特性。双侧对称的中间神经元组可以通过它们的整体活动模式编码气流刺激的方向,其功能类似于笛卡尔坐标系。这些中间神经元能够以精确的动作电位时间模式对特定的动态刺激做出反应,这些动作电位时间模式可能使用时间编码方案来编码这些刺激。因此,一个相对简单的机械感觉系统采用了多种复杂的计算机制,为动物提供有关其环境的相关信息。

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