Computational modeling of electric imaging in weakly electric fish: Insights for physiology, behavior and evolution

Q Medicine
Leonel Gómez-Sena, Federico Pedraja , Juan I. Sanguinetti-Scheck , Ruben Budelli
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引用次数: 11

Abstract

Weakly electric fish can sense electric signals produced by other animals whether they are conspecifics, preys or predators. These signals, sensed by passive electroreception, sustain electrocommunication, mating and agonistic behavior. Weakly electric fish can also generate a weak electrical discharge with which they can actively sense the animate and inanimate objects in their surroundings. Understanding both sensory modalities depends on our knowledge of how pre-receptorial electric images are formed and how movements modify them during behavior. The inability of effectively measuring pre-receptorial fields at the level of the skin contrasts with the amount of knowledge on electric fields and the availability of computational methods for estimating them. In this work we review past work on modeling of electric organ discharge and electric images, showing the usefulness of these methods to calculate the field and providing a brief explanation of their principles. In addition, we focus on recent work demonstrating the potential of electric image modeling and what the method has to offer for experimentalists studying sensory physiology, behavior and evolution.

弱电鱼的电成像计算模型:生理学、行为和进化的见解
弱电鱼能感觉到其他动物发出的电信号,不管它们是同种动物、猎物还是捕食者。这些由被动电接受感知的信号维持着电通信、交配和竞争行为。弱电鱼也可以产生微弱的放电,通过这种放电,它们可以主动感知周围有生命和无生命的物体。理解这两种感觉模式取决于我们对感知前电图像如何形成以及运动在行为过程中如何改变它们的知识。在皮肤水平上无法有效地测量前感受器场,这与电场知识的数量和估计它们的计算方法的可用性形成对比。在这项工作中,我们回顾了过去在电器官放电和电图像建模方面的工作,展示了这些方法在计算电场方面的有用性,并简要解释了它们的原理。此外,我们关注最近的工作,展示了电子图像建模的潜力,以及该方法为研究感觉生理学、行为和进化的实验学家提供了什么。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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