Automated pulse discrimination of two freely-swimming weakly electric fish and analysis of their electrical behavior during dominance contest

Rafael T. Guariento , Thiago S. Mosqueiro , Paulo Matias , Vinicius B. Cesarino , Lirio O.B. Almeida , Jan F.W. Slaets , Leonardo P. Maia , Reynaldo D. Pinto
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Abstract

Electric fishes modulate their electric organ discharges with a remarkable variability. Some patterns can be easily identified, such as pulse rate changes, offs and chirps, which are often associated with important behavioral contexts, including aggression, hiding and mating. However, these behaviors are only observed when at least two fish are freely interacting. Although their electrical pulses can be easily recorded by non-invasive techniques, discriminating the emitter of each pulse is challenging when physically similar fish are allowed to freely move and interact. Here we optimized a custom-made software recently designed to identify the emitter of pulses by using automated chirp detection, adaptive threshold for pulse detection and slightly changing how the recorded signals are integrated. With these optimizations, we performed a quantitative analysis of the statistical changes throughout the dominance contest with respect to Inter Pulse Intervals, Chirps and Offs dyads of freely moving Gymnotus carapo. In all dyads, chirps were signatures of subsequent submission, even when they occurred early in the contest. Although offs were observed in both dominant and submissive fish, they were substantially more frequent in submissive individuals, in agreement with the idea from previous studies that offs are electric cues of submission. In general, after the dominance is established the submissive fish significantly changes its average pulse rate, while the pulse rate of the dominant remained unchanged. Additionally, no chirps or offs were observed when two fish were manually kept in direct physical contact, suggesting that these electric behaviors are not automatic responses to physical contact.

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两种自由游动弱电鱼的脉冲自动识别及优势竞争中的电行为分析
电鱼以显著的可变性调节它们的电器官放电。有些模式很容易识别,比如脉搏变化、关闭和啁啾,这些通常与重要的行为背景有关,包括攻击、躲藏和交配。然而,这些行为只有在至少两只鱼自由互动时才会被观察到。虽然它们的电脉冲可以很容易地通过非侵入性技术记录下来,但当身体相似的鱼被允许自由移动和互动时,区分每个脉冲的发射器是具有挑战性的。在这里,我们优化了最近设计的一个定制软件,该软件通过使用自动啁啾检测、脉冲检测的自适应阈值和略微改变记录信号的集成方式来识别脉冲的发射器。通过这些优化,我们对整个优势竞争过程中有关脉冲间隔、啁啾和自由移动的裸子carapo二对的统计变化进行了定量分析。在所有的二组中,啾啾声都是随后提交的标志,即使它们发生在比赛的早期。虽然在主导鱼和顺从鱼中都观察到关闭,但它们在顺从的个体中更为频繁,这与先前研究的观点一致,即关闭是屈服的电子信号。一般来说,优势地位确立后,服从鱼的平均脉搏率显著改变,而优势鱼的脉搏率保持不变。此外,当两条鱼被人工保持直接身体接触时,没有观察到啁啾或关闭,这表明这些电行为不是对身体接触的自动反应。
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来源期刊
Journal of Physiology-Paris
Journal of Physiology-Paris 医学-神经科学
CiteScore
2.02
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Each issue of the Journal of Physiology (Paris) is specially commissioned, and provides an overview of one important area of neuroscience, delivering review and research papers from leading researchers in that field. The content will interest both those specializing in the experimental study of the brain and those working in interdisciplinary fields linking theory and biological data, including cellular neuroscience, mathematical analysis of brain function, computational neuroscience, biophysics of brain imaging and cognitive psychology.
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Editorial Automated detection of high-frequency oscillations in electrophysiological signals: Methodological advances Digital hardware implementation of a stochastic two-dimensional neuron model Recent progress in multi-electrode spike sorting methods Retrospectively supervised click decoder calibration for self-calibrating point-and-click brain–computer interfaces
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