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首页> 外文期刊>Biological Cybernetics >Electric field interactions in pairs of electric fish: modeling and mimicking naturalistic inputs
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Electric field interactions in pairs of electric fish: modeling and mimicking naturalistic inputs

机译:成对的电鱼中的电场相互作用:建模和模拟自然输入

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Weakly electric fish acquire information about their surroundings by detecting and interpreting the spatial and temporal patterns of electric potential across their skin, caused by perturbations in a self-generated, oscillating electric field. Computational and experimental studies have focused on understanding the electric images due to simple, passive objects. The present study considers electric images of a conspecific fish. It is known that the electric fields of two fish interact to produce beats with spatially varying profiles of amplitude and phase. Such patterns have been shown to be critical for electrosensory-mediated behaviours, such as the jamming avoidance response, but they have yet to be well described. We have created a biophysically realistic model of a wave-type weakly electric fish by using a genetic algorithm to calibrate the parameters to the electric field of a real fish. We use the model to study a pair of fish and compute the electric images of one fish onto the other at three representative phases within a beat cycle. Analysis of the images reveals rostral/caudal and ipsilateral/contralateral patterns of amplitude and phase that have implications for localization of conspecifics (both position and orientation) and communication between conspecifics. We then show how the common stimulation paradigm used to mimic a conspecific during in vivo electrophysiological experiments, based on a transverse arrangement of two electrodes, can be improved in order to more accurately reflect the important qualitative features of naturalistic inputs, as revealed by our model.
机译:弱电鱼通过检测和解释由于自身产生的振荡电场中的扰动而引起的跨皮肤电势的时空分布,来获取有关周围环境的信息。计算和实验研究集中在理解由于简单,无源物体而产生的电子图像。本研究考虑了特定鱼类的电子图像。众所周知,两条鱼的电场相互作用产生具有在空间上变化的幅度和相位分布的节拍。已经表明,这种模式对于电感应介导的行为(例如,避免干扰的响应)至关重要,但尚未得到充分描述。通过使用遗传算法校准真实鱼类的电场参数,我们已经创建了波浪型弱电鱼类的生物物理现实模型。我们使用该模型研究一对鱼,并在搏动周期内的三个代表性阶段将一条鱼的电图像计算到另一条鱼上。对图像的分析揭示了幅度和相位的眼部/尾部和同侧/对侧模式,这对特定物种的定位(位置和方向)以及特定物种之间的通信有影响。然后,我们展示了如何根据两个电极的横向排列来改进用于模拟体内电生理实验过程中的同种共性的常见刺激范式,以便更准确地反映自然输入的重要定性特征,如我们的模型所揭示的那样。

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