首页> 外文期刊>The Journal of Experimental Biology >Distance, shape and more: recognition of object features during active electrolocation in a weakly electric fish
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Distance, shape and more: recognition of object features during active electrolocation in a weakly electric fish

机译:距离,形状及其他:在弱电鱼中主动电定位过程中识别物体特征

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In the absence of light, the weakly electric fish Gnathonemus petersii detects and distinguishes objects in the environment through active electrolocation. In order to test which features of an object the fish use under these conditions to discriminate between differently shaped objects, we trained eight individuals in a food-rewarded, two-alternative, forced-choice procedure. All fish learned to discriminate between two objects of different shapes and volumes. When new object combinations were offered in non-rewarded test trials, fish preferred those objects that resembled the one they had been trained to ( S+) and avoided objects resembling the one that had not been rewarded ( S -). For a decision, fish paid attention to the relative differences between the two objects they had to discriminate. For discrimination, fish used several object features, the most important ones being volume, material and shape. The importance of shape was demonstrated by reducing the objects to their 3-dimensional contours, which sufficed for the fish to distinguish differently shaped objects. Our results also showed that fish attended strongly to the feature 'volume', because all individuals tended to avoid the larger one of two objects. When confronted with metal versus plastic objects, all fish avoided metal and preferred plastic objects, irrespective of training. In addition to volume, material and shape, fish attended to additional parameters, such as corners or rounded edges. When confronted with two unknown objects, fish weighed up the positive and negative properties of these novel objects and based their decision on the outcome of this comparison. Our results suggest that fish are able to link and assemble local features of an electrolocation pattern to construct a representation of an object, suggesting that some form of a feature extraction mechanism enables them to solve a complex object recognition task.
机译:在没有光照的情况下,弱电鱼Gnathonemus petersii通过主动电定位来检测和区分环境中的物体。为了测试在这些条件下鱼使用物体的哪些特征来区分形状不同的物体,我们对8个人进行了食物奖励,两种选择,强制选择程序的培训。所有鱼类都学会了区分不同形状和体积的两个物体。当在非奖励测试试验中提供新的对象组合时,Fish会偏爱那些类似于他们训练过的对象(S +)的对象,并避免使用类似于未被奖励的对象(S-)的对象。为了做出决定,菲什注意了必须区分的两个物体之间的相对差异。为了区分,鱼使用了几个对象特征,最重要的是体积,材质和形状。通过将物体缩小到3维轮廓来证明形状的重要性,这足以使鱼区分不同形状的物体。我们的结果还表明,鱼类强烈参与了“体积”特征,因为所有个体都倾向于避开两个物体中较大的物体。当面对金属与塑料物体时,所有鱼都避免使用金属和首选塑料物体,而不论其训练如何。除了体积,材料和形状外,鱼还需要考虑其他参数,例如拐角或倒圆角。当面对两个未知物体时,鱼会权衡这些新颖物体的正面和负面特性,并根据比较结果做出决定。我们的结果表明,鱼能够链接和组装电定位模式的局部特征以构建对象的表示,这表明某种形式的特征提取机制使它们能够解决复杂的对象识别任务。

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