Weakly electric fish learn both visual and electrosensory cues in a multisensory object discrimination task

Sandra Dangelmayer, Jan Benda, Jan Grewe
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引用次数: 5

Abstract

Weakly electric fish use electrosensory, visual, olfactory and lateral line information to guide foraging and navigation behaviors. In many cases they preferentially rely on electrosensory cues. Do fish also memorize non-electrosensory cues? Here, we trained individuals of gymnotiform weakly electric fish Apteronotus albifrons in an object discrimination task. Objects were combinations of differently conductive materials covered with differently colored cotton hoods. By setting visual and electrosensory cues in conflict we analyzed the sensory hierarchy among the electrosensory and the visual sense in object discrimination. Our experiments show that: (i) black ghost knifefish can be trained to solve discrimination tasks similarly to the mormyrid fish; (ii) fish preferentially rely on electrosensory cues for object discrimination; (iii) despite the dominance of the electrosense they still learn the visual cue and use it when electrosensory information is not available; (iv) fish prefer the trained combination of rewarded cues over combinations that match only in a single feature and also memorize the non-rewarded combination.

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弱电鱼在多感官物体识别任务中学习视觉和电感觉线索
弱电鱼利用电感觉、视觉、嗅觉和侧线信息来指导觅食和导航行为。在许多情况下,它们优先依赖于电感觉线索。鱼也会记住非电感觉的线索吗?在此,我们训练裸形弱电鱼的个体进行物体识别任务。物体是不同导电材料的组合,上面覆盖着不同颜色的棉帽。通过设置视觉和电感觉的冲突线索,分析了电感觉和视觉对物体辨别的感觉层次。我们的实验表明:(1)可以训练黑鬼刀鱼来解决类似于mormyrid鱼的识别任务;(ii)鱼类优先依赖电感觉线索进行物体识别;(iii)尽管电感觉占主导地位,他们仍然学习视觉线索,并在没有电感觉信息时使用它;(iv)鱼更喜欢经过训练的奖励线索组合,而不是只匹配单一特征的组合,同时也记住非奖励组合。
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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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