Bi-modal Chemical and Mechanical Signal Detection: Filter Properties of Chemo- and Mechanoreceptor Cells

双模化学和机械信号检测：化学和机械感受器细胞的过滤特性

• 批准号: 9601260
• 负责人: Jelle Atema
• 金额: $ 8.5万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-01 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9601260&HistoricalAwards=false
• 关键词: Bi; modal; Chemical; Mechanical; Signal

Selection of food often involves mechanosensory information about texture along with chemosensory information about flavor. Aquatic crustaceans such as crayfish and lobster have antennae, antennules and mouthparts with many sensory hairlike structures called sensilla, which often are receptors for chemosensory as well as mechanical stimuli. These animals provide an excellent model system for study because the few nerve cells in each sensilla are very easily accessible for recording nerve activity, to determine how they respond to different stimuli. This project uses anatomical and electrophysiological techniques to explore how these sensory structures are innervated and to help understand how responses to mechanical hydrodynamic flow around the receptors interact with responses to chemosensory stimuli. Results will clarify how multi-modal signals about the environment are normally integrated by the nervous system to produce appropriate behavior. This work will have an impact not only on chemosensory and mechanosensory science, but on understanding information coding in general in the nervous system with potential relevance to robotic sensors, on understanding sensory evolution and how organisms adapt to their environment, and may lead to applied advances in animal stock management in the fisheries industry.

食物的选择通常涉及有关纹理的机械感觉信息以及有关风味的化学感应信息。 诸如小龙虾和龙虾等水生甲壳动物具有天线，触角和口径，具有许多称为Sensilla的感觉发际式结构，它们通常是化学感觉和机械刺激的受体。 这些动物为研究提供了出色的模型系统，因为每个感觉中的几个神经细胞都非常容易记录神经活动，以确定它们对不同刺激的反应。 该项目使用解剖学和电生理技术来探讨这些感觉结构如何支配，并帮助了解受体周围对机械流体动力流动的反应如何与对化学感觉刺激的反应相互作用。 结果将阐明如何通过神经系统整合有关环境的多模式信号以产生适当的行为。 这项工作不仅会影响化学感应和机械感应科学，而且会影响与机器人传感器潜在相关的神经系统中的一般信息编码，了解感觉进化以及有机体如何适应其环境，并可能导致渔业行业动物库存管理的应用进步。