Postdoctoral Research Fellowship in Biological Informatics for FY-2000

这项行动资助了NSF 2000年生物信息学博士后研究奖学金。这项研究和培训计划是在生态和进化生理学领域，标题是“物种识别和配偶选择的进化：神经网络方法”。这项研究的目的是通过使用将对认知功能进行建模的人工神经网络来对配偶选择行为进行建模。这项拟议的研究调查了进化生物学中的一个众所周知的问题：伴随并影响物种形成本身的物种识别的进化，即信号接受者(通常是女性)进化的方式，以及这种变化如何影响信号者(通常是男性)的进化。该模型神经网络正在接受针对铲足蛙行为的测试，并将确定雌性蛙对物种的识别是否会稳定雄性蛙的表型，或者更确切地说，是驱动它朝着特定的方向发展。

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for 2000.The research and training plan is in the area of Ecological and Evolutionary Physiology and is entitled "The evolution of species recognition and mate choice: a neural network approach". The aim of this research is to model mate choice behavior via use of artificial neural networks that will model cognitive function. The proposed research investigates a well known problem in evolutionary biology: the evolution of species recognition that both accompanies and influences speciation itself, i.e. the manner in which the signal recipient (usually female) evolves, and how this change affects evolution of the signaler (typically male). The model neural networks are being tested against the behavior of spadefoot frogs and will determine if species recognition by the female will result in stabilizing the male phenotype or, rather, drive it in a specific direction.