History influences signal recognition: neural network models of túngara frogs.
History influences signal recognition: neural network models of túngara frogs.
复制标题
历史影响信号识别：通加拉青蛙的神经网络模型。
DOI：
10.1098/rspb.2000.1189
复制
发表时间：
2000
期刊：
影响因子：
--
通讯作者：
Ryan,MJ
中科院分区：
文献类型：
--
作者：
Phelps,SM;Ryan,MJ
动物通常只注意到同种动物复杂的展示所提供的一些线索。我们认为，这些知觉偏差的影响，从祖先物种继承的信号识别机制。我们通过操纵人工神经网络的进化历史来测试这一假设，观察由此产生的网络如何对许多新的刺激做出反应，并将这些反应与phonotaxis实验中的女性行为进行比较。具有不同进化历史的网络被证明同样能够进化到识别tungara青蛙，Physalaemus pustulosus的呼叫，但对新的刺激表现出不同的反应。历史影响网络的能力来预测已知的响应tungara青蛙，网络的准确性是由网络的历史接近的tungara青蛙的假设历史。我们的研究结果强调了过去的选择压力对当前感知机制的影响，并展示了神经网络模型如何用于解决传统方法难以解决的行为问题。
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 tungara frog,Physalaemus pustulosus, but exhibited distinct responses to novel stimuli. History influenced the ability of networks to predict known responses of tungara frogs; network accuracy was determined by how closely the network history approximated the hypothesized history of the tungara 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.