摘要
回声定位蝙蝠具有利用回声定位系统来完成对靶物探测、定位和分类等任务的能力。在这三类基本任务中,关于蝙蝠如何对靶物进行分类的研究起步较晚,且先前的研究大多集中在对简单靶物的分析。然而,蝙蝠接收的绝大部分回声来自复杂的物体,这种回声是必须借助统计学方法描述的复杂回声。近年来,有关调频蝙蝠对从植物返回的复杂回声的分类研究取得了一些重要进展,本文对调频蝙蝠利用回声分类区分植物的行为学证据、分类线索、相关的分类模型以及基于不同分类线索下的神经基础作简要介绍和评述,以期为相关研究人员提供参考。
By using echolocation system echolocating bats have the ability to complete the tasks of detection, localization and classification of the targets. Among the three fundamental tasks, the study of how bats use echolocation to classify targets was investigated later, and most of previous studies were focused on the analysis of simple targets. However, the echoes that bats received are mostly returning from complex objects or structures, which are so complex that they must be described by stochastic statistical approach. In recent years, the study on classification of complex echoes returning from different plants in frequency modulation （FM） bats has made significant progress. In this review article, we will briefly introduce and comment on some progress of studies based on the behavioral evidence, acoustic cues, relevant classification models, and neural bases underlying different classification cues to distin- guish plants through classification of echoes in FM bats.
出处
《生理学报》
CAS
CSCD
北大核心
2015年第2期134-142,共9页
Acta Physiologica Sinica
基金
supported by grants from the National Natural Science Foundation of China(No.31200832
31070971)
the Fundamental Research Grant Scheme of Central China Normal University
China(No.CCNU13A05027)
关键词
调频蝙蝠
回声定位信号
回声分类
植物分类
神经生理机制
frequency modulation bat
echolocation signal
echo classification
classifying plant
neurophysiological mechanism
