Vestigial preference functions in neural networks and túngara frogs.
Vestigial preference functions in neural networks and túngara frogs.
复制标题
神经网络和通加拉青蛙中的残留偏好函数。
DOI：
10.1073/pnas.231296998
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发表时间：
2001
影响因子：
11.1
通讯作者：
Rand,AS
中科院分区：
文献类型：
--
作者：
Phelps,SM;Ryan,MJ;Rand,AS
尽管人们对了解知觉机制如何影响行为进化越来越感兴趣，但很少有研究讨论知觉本身是如何由进化力量塑造的。我们使用人工神经网络模型和行为实验相结合的方法来研究进化历史如何影响雌性túngara蛙在配偶选择中使用的感知过程。我们操纵了人工神经网络模型的进化历史，观察到一种对类似于已知祖先状态的叫声的紧急偏向。然后，我们对雌性túngara蛙进行了类似偏好的探索，发现它们对刺激有强烈的偏见，类似于假设的对最近祖先的叫声。这些数据强烈表明，雌性汤加拉蛙对祖先的叫声表现出退化的偏好，并为探索历史偶然性在知觉偏差中的作用提供了一般策略。
Although there is a growing interest in understanding how perceptual mechanisms influence behavioral evolution, few studies have addressed how perception itself is shaped by evolutionary forces. We used a combination of artificial neural network models and behavioral experiments to investigate how evolutionary history influenced the perceptual processes used in mate choice by female túngara frogs. We manipulated the evolutionary history of artificial neural network models and observed an emergent bias toward calls resembling known ancestral states. We then probed female túngara frogs for similar preferences, finding strong biases toward stimuli that resemble a call hypothesized for a recent ancestor. The data strongly suggest that female túngara frogs exhibit vestigial preferences for ancestral calls, and provide a general strategy for exploring the role of historical contingency in perceptual biases.