Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey.
Command Control and Defence Technologies VP, Havelsan A.S., Ankara, Turkey.
Bioinspir Biomim. 2021 Dec 17;17(1). doi: 10.1088/1748-3190/ac392d.
Many animal behaviors are robust to dramatic variations in morphophysiological features, both across and within individuals. The control strategies that animals use to achieve such robust behavioral performances are not known. Recent evidence suggests that animals rely on sensory feedback rather than precise tuning of neural controllers for robust control. Here we examine the structure of sensory feedback, including multisensory feedback, for robust control of animal behavior. We re-examined two recent datasets of refuge tracking responses of, a species of weakly electric fish.rely on both the visual and electrosensory cues to track the position of a moving refuge. The datasets include experiments that varied the strength of visual and electrosensory signals. Our analyses show that increasing the salience (perceptibility) of visual or electrosensory signals resulted in more robust and precise behavioral responses. Further, we find that robust performance was enhanced by multisensory integration of simultaneous visual and electrosensory cues. These findings suggest that engineers may achieve better system performance by improving the salience of multisensory feedback rather than solely focusing on precisely tuned controllers.
许多动物行为在形态生理特征上存在显著变化，无论是在个体之间还是个体内部，都具有很强的稳健性。动物用来实现这种稳健行为表现的控制策略尚不清楚。最近的证据表明，动物依赖于感觉反馈，而不是对神经控制器的精确调整，来实现稳健控制。在这里，我们研究了感觉反馈的结构，包括多感觉反馈，以实现动物行为的稳健控制。我们重新检查了两个最近的数据集，这些数据集涉及到一种弱电鱼的避难所跟踪反应，这种鱼依赖于视觉和电感觉线索来跟踪移动避难所的位置。这些数据集包括了改变视觉和电感觉信号强度的实验。我们的分析表明，增加视觉或电感觉信号的显著性（可感知性）会导致更稳健和精确的行为反应。此外，我们发现通过同时整合视觉和电感觉线索的多感觉，能够增强稳健性能。这些发现表明，工程师可以通过提高多感觉反馈的显著性，而不是仅仅专注于精确调整的控制器，来实现更好的系统性能。
