首页> 美国卫生研究院文献>Proceedings of the Royal Society B: Biological Sciences >History influences signal recognition: neural network models of túngara frogs.
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History influences signal recognition: neural network models of túngara frogs.

机译:历史会影响信号识别:Túngara青蛙的神经网络模型。

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摘要

Animals often attend to only a few of the cues provided by the complex displays of conspecifics. We suggest that these perceptual biases are influenced by mechanisms of signal recognition inherited from antecedent species. We tested this hypothesis by manipulating the evolutionary history of artificial neural networks, observing how the resulting networks respond to many novel stimuli and comparing these responses to the behaviour of females in phonotaxis experiments. Networks with different evolutionary histories proved equally capable of evolving to recognize the call of the túngara frog, Physalaemus pustulosus, but exhibited distinct responses to novel stimuli. History influenced the ability of networks to predict known responses of túngara frogs; network accuracy was determined by how closely the network history approximated the hypothesized history of the túngara frog. Our findings emphasize the influence of past selection pressures on current perceptual mechanisms, and demonstrate how neural network models can be used to address behavioural questions that are intractable through traditional methods.
机译:动物通常只关注复杂的物种特异性展示所提供的一些线索。我们建议这些感性偏见受以前物种继承的信号识别机制的影响。我们通过操纵人工神经网络的进化历史,观察所得网络如何对许多新型刺激做出反应并在视光刺激性实验中将这些反应与女性行为进行比较,来检验该假设。事实证明,具有不同进化历史的网络同样能够进化以识别长鼻蛙Physalaemus pustulosus的叫声,但对新颖刺激表现出不同的反应。历史影响了网络预测túngara青蛙已知反应的能力。网络的准确性取决于网络历史与túngara青蛙的假设历史的近似程度。我们的发现强调了过去的选择压力对当前知觉机制的影响,并证明了如何使用神经网络模型来解决传统方法难以解决的行为问题。

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