权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

COLLABORATIVE RESEARCH: Signal Recognition by Zooplankton

合作研究：浮游动物的信号识别

基本信息

批准号：
9816663
负责人：
Marc Weissburg
金额：
$ 13.38万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1998
资助国家：
美国
起止时间：
1998-09-15 至 2002-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9816663&HistoricalAwards=false
关键词：
COLLABORATIVE RESEARCH Signal Recognition Zooplankton

项目摘要

For many animals, vibrations transmitted by air or water provide information about the local three-dimensional environment. Often there are extremely complex mechanosensory systems integrating extremely complex stimulus fields. This collaborative research project exploits a small aquatic crustacean, a copepod, as a novel model system that can be considered much simpler than the insects and large crustaceans used in other analyses. The copepod brain has fewer than 1000 neurons and lives in a simple flow environment where the animal creates a feeding current across the antennae. This current has some local turbulence in the open, but is converted to a smooth laminar flow field across the antenna. Microscale hydrodynamics, receptor neurophysiology and behavioral studies are used to clarify the mechanisms that transduce the 3-D information of natural signals into a neural signal, and underlie behavior such as feeding or escape from swimming predators detected by this small but sophisticated mechanosensory system. Results will be important for understanding 3-D processing in mechanosensory systems, and there is potential impact beyond neuroscience to biological oceanography because of the importance of copepods in the food web, and potential impact on the design of biosensors and robotic sensory technology.

对许多动物来说，通过空气或水传播的振动提供了当地三维环境的信息。通常会有极其复杂的机械感觉系统整合极其复杂的刺激场。这个合作研究项目利用了一种小型水生甲壳类动物——桡足类动物，作为一种新的模型系统，可以被认为比其他分析中使用的昆虫和大型甲壳类动物简单得多。桡足动物的大脑只有不到1000个神经元，生活在一个简单的流动环境中，动物通过触角产生进食电流。这种电流在开阔处有一些局部湍流，但在天线上被转换成平滑的层流场。微观流体动力学、受体神经生理学和行为研究被用来阐明将自然信号的三维信息转化为神经信号的机制，并在这种小而复杂的机械感觉系统检测到的进食或逃离游泳捕食者等行为的基础上。研究结果对于理解机械感觉系统中的三维加工具有重要意义，并且由于桡足类动物在食物网中的重要性，对生物海洋学以及生物传感器和机器人感觉技术的设计都有潜在的影响。