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在宽吻海豚听觉系统的计算模型中呈现多种辨别线索。

Representing multiple discrimination cues in a computational model of the bottlenose dolphin auditory system.

作者信息

Branstetter Brian K, Mercado Eduardo, Au Whitlow L

机构信息

Marine Mammal Research Program, Hawaii Institute of Marine of Marine Biology, P.O. Box 11066, Kailua, Hawaii 96734, USA.

出版信息

J Acoust Soc Am. 2007 Oct;122(4):2459-68. doi: 10.1121/1.2772214.

Abstract

A computational model of the dolphin auditory system was developed to describe how multiple discrimination cues may be represented and employed during echolocation discrimination tasks. The model consisted of a bank of gammatone filters followed by half-wave rectification and low pass filtering. The output of the model resembles a spectrogram; however, the model reflects temporal and spectral resolving properties of the dolphin auditory system. Model outputs were organized to represent discrimination cues related to spectral, temporal and intensity information. Two empirical experiments, a phase discrimination experiment [Johnson et al., Animal Sonar Processes and Performance (Plenum, New York, 1988)] and a cylinder wall thickness discrimination tasks [Au and Pawolski, J. Comp. Physiol. A 170, 41-47 (1992)] were then simulated. Model performance was compared to dolphin performance. Although multiple discrimination cues were potentially available to the dolphin, simulation results suggest temporal information was used in the former experiment and spectral information in the latter. This model's representation of sound provides a more accurate approximation to what the dolphin may be hearing compared to conventional spectrograms, time-amplitude, or spectral representations.

摘要

开发了一种海豚听觉系统的计算模型,以描述在回声定位辨别任务中多种辨别线索是如何被表征和利用的。该模型由一组伽马通滤波器组成,随后进行半波整流和低通滤波。模型的输出类似于频谱图;然而,该模型反映了海豚听觉系统的时间和频谱分辨特性。模型输出被组织起来以表征与频谱、时间和强度信息相关的辨别线索。然后模拟了两个实证实验,一个相位辨别实验[约翰逊等人,《动物声纳过程与性能》(普伦姆出版社,纽约,1988年)]和一个圆柱体壁厚辨别任务[欧和帕沃尔斯基,《比较生理学杂志A》170卷,41 - 47页(1992年)]。将模型性能与海豚的性能进行了比较。尽管海豚可能有多种辨别线索可用,但模拟结果表明,在前一个实验中使用了时间信息,而在后一个实验中使用了频谱信息。与传统的频谱图、时间 - 幅度或频谱表示相比,该模型对声音的表征更准确地近似于海豚可能听到的内容。

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