Mhatre Natasha, Balakrishnan Rohini
Centre for Ecological Sciences, Indian Institute of Science, Bangalore, 560012, India.
J Exp Biol. 2008 Sep;211(Pt 17):2779-85. doi: 10.1242/jeb.017756.
Animals have to accomplish several tasks in their lifetime, such as finding food and mates and avoiding predators. Animals that locate these using sound need to detect, recognize and localize appropriate acoustic objects in their environment, typically in noisy, non-ideal conditions. Quantitative models attempting to explain or predict animal behaviour should be able to accurately simulate behaviour in such complex, real-world conditions. Female crickets locate potential mates in choruses of simultaneously calling males. In the present study, we have tested field cricket acoustic orientation behaviour in complex acoustic conditions in the field and also successfully predicted female orientation and paths under these conditions using a simulation model based on auditory physiology. Such simulation models can provide powerful tools to predict and dissect patterns of behaviour in complex, natural environments.
动物在其一生中必须完成多项任务，比如寻找食物、配偶以及躲避捕食者。利用声音来定位这些目标的动物需要在其所处环境中，通常是在嘈杂、不理想的条件下，检测、识别并定位合适的声学目标。试图解释或预测动物行为的定量模型应该能够在这种复杂的现实世界条件下准确模拟行为。雌性蟋蟀在同时鸣叫的雄性群体中定位潜在配偶。在本研究中，我们在野外复杂声学条件下测试了蟋蟀的声学定向行为，并且还使用基于听觉生理学的模拟模型成功预测了这些条件下雌性的定向和路径。此类模拟模型能够提供强大的工具，用以预测和剖析复杂自然环境中的行为模式。
