Active head rolls enhance sonar-based auditory localization performance.
Active head rolls enhance sonar-based auditory localization performance.
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DOI：
10.1371/journal.pcbi.1008973
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发表时间：
2021-05
影响因子：
4.3
通讯作者：
Shi BE
中科院分区：
文献类型：
--
作者：
Wijesinghe LP;Wohlgemuth MJ;So RHY;Triesch J;Moss CF;Shi BE
动物利用各种主动感知机制来感知周围的世界。回声定位蝙蝠是研究主动听觉定位的一个很好的模型。例如，大棕蝠（Eptesicus fuscus）在声纳追踪猎物时使用主动的头部滚动运动。头部滚动在声源定位中的作用尚不清楚。在此，我们提出了一个多轴头部旋转的回声定位模型，以研究主动头部滚动运动对声音定位性能的影响。该模型自动学习将蝙蝠的头部方向对准目标。我们证明了一个有主动头滚运动的模型比没有头滚运动的模型更好地定位目标。此外，我们证明了主动头部滚动也减少了定位所需的时间。最后，我们的模型提供了回声定位蝙蝠在回声定位过程中使用的声音定位线索的关键见解。主动感知是回声定位蝙蝠听觉空间感知的一个重要方面。头部和耳朵的运动经常伴随着声纳呼叫的产生和接收。大棕色蝙蝠在黑暗中追踪昆虫的位置时，会摇着头；然而，这些运动的作用还没有得到很好的理解。我们使用一个计算模型来解决这个问题，该模型模拟了类似于大棕色蝙蝠的活跃头部旋转。我们的模型通过主动向目标旋转头部方向来自主学习定位目标。我们发现主动的头部摆动可以提高定位精度，特别是在垂直方向上。
Animals utilize a variety of active sensing mechanisms to perceive the world around them. Echolocating bats are an excellent model for the study of active auditory localization. The big brown bat (Eptesicus fuscus), for instance, employs active head roll movements during sonar prey tracking. The function of head rolls in sound source localization is not well understood. Here, we propose an echolocation model with multi-axis head rotation to investigate the effect of active head roll movements on sound localization performance. The model autonomously learns to align the bat’s head direction towards the target. We show that a model with active head roll movements better localizes targets than a model without head rolls. Furthermore, we demonstrate that active head rolls also reduce the time required for localization in elevation. Finally, our model offers key insights to sound localization cues used by echolocating bats employing active head movements during echolocation. Active sensing is a crucial aspect of an echolocating bat’s auditory spatial perception. Head and ear movements frequently accompany their sonar call production and reception. The big brown bat waggles its head while it tracks the position of insects in darkness; however the role of these movements is not well understood. We addressed this question using a computational model that simulates active head rotations that resemble those reported in big brown bats. Our model autonomously learns to localize targets by actively rotating the head direction towards the target. We discovered that the active head waggles improve the localization accuracy, particularly in the vertical dimension.
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影响因子：
2.4
作者：
MOGDANS, J;OSTWALD, J;SCHNITZLER, HU
通讯作者：
SCHNITZLER, HU
影响因子：
1.8
作者：
HASLWANTER, T
通讯作者：
HASLWANTER, T
影响因子：
7.8
作者：
Fontaine, Bertrand;Peremans, Herbert
通讯作者：
Peremans, Herbert
DOI：
10.1037/h0061495
发表时间：
1948-01-01
期刊：
JOURNAL OF COMPARATIVE AND PHYSIOLOGICAL PSYCHOLOGY
影响因子：
--
作者：
JEFFRESS, LA
通讯作者：
JEFFRESS, LA
影响因子：
4
作者：
Sayegh R;Aubie B;Faure PA
通讯作者：
Faure PA