Creation of a biomimetic model of dolphin hearing through the use of evolutionary computation

D. Houser, D. Helweg, K. Chellapilla, P. Moore
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引用次数: 4

Abstract

Niche exploitation by an organism cumulatively results from its existing adaptations and phylogenetic history. The biological sonar of dolphins is an adaptation for object (e.g. prey or obstacle) detection and classification in visually limited environments. Current biomimetic modeling of echo discrimination by dolphins emphasizes the mechanical and neurological filtering of the peripheral auditory system prior to central nervous system processing of echoes. Anatomical data from, and psychoacoustic and neurophysiological experiments performed on bottlenose dolphins (Tursiops truncatus) have determined the structure of auditory tuning curves for a few tested frequencies. However, an optimal filter set has yet to be developed that demonstrates comparable frequency-dependent sensitivity across the range of dolphin hearing. Evolutionary computation techniques are employed to optimize the sensitivity of filters to that observed in the bottlenose dolphin, by seeding the population with bounded filter parameters and evolving the number, shape, and frequency distribution of individual filters. Comparisons of evolved and known biological tuning curves are discussed.
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通过使用进化计算建立海豚听觉的仿生模型
生物对生态位的利用是其现有适应和系统发育历史的累积结果。海豚的生物声纳是在视觉受限的环境中对物体(如猎物或障碍物)的探测和分类的一种适应。目前海豚回声识别的仿生模型强调在中枢神经系统处理回声之前,外周听觉系统的机械和神经过滤。对宽吻海豚(Tursiops truncatus)进行的解剖数据、心理声学和神经生理学实验已经确定了几个测试频率下听觉调谐曲线的结构。然而,目前还没有开发出一种最佳的滤波器集,可以在海豚的听觉范围内证明与频率相关的灵敏度。采用进化计算技术,通过向种群中播种有界滤波器参数,并进化单个滤波器的数量、形状和频率分布,优化滤波器的灵敏度,使其符合在宽吻海豚中观察到的情况。讨论了进化的和已知的生物调谐曲线的比较。
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