Research progress in neurophysiological mechanism underlying distinguishing plants through classification of echoes in frequency modulation bats.
- Author:
Qing SHI
1
;
Zi-Ying FU
2
;
Qi-Cai CHEN
1
Author Information
1. School of Life Sciences and Hubei Key Laboratory of Genetic Regulation and Integrative Biology, Central China Normal University, Wuhan 430079, China.
2. School of Life Sciences and Hubei Key Laboratory of Genetic Regulation and Integrative Biology, Central China Normal University, Wuhan 430079, China. ccnufuzy@mail.ccnu.edu.cn.
- Publication Type:Journal Article
- MeSH:
Animals;
Chiroptera;
physiology;
Echolocation;
Nervous System Physiological Phenomena
- From:
Acta Physiologica Sinica
2015;67(2):134-142
- CountryChina
- Language:Chinese
-
Abstract:
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 distinguish plants through classification of echoes in FM bats.
