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Counting insects

机译:计数昆虫

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摘要

When counting-like abilities were first described in the honeybee in the mid-1990s, many scholars were sceptical, but such capacities have since been confirmed in a number of paradigms and also in other insect species. Counter to the intuitive notion that counting is a cognitively advanced ability, neural network analyses indicate that it can be mediated by very small neural circuits, and we should therefore perhaps not be surprised that insects and other small-brained animals such as some small fish exhibit such abilities. One outstanding question is how bees actually acquire numerical information. For perception of small numerosities, working-memory capacity may limit the number of items that can be enumerated, but within these limits, numerosity can be evaluated accurately and (at least in primates) in parallel. However, presentation of visual stimuli in parallel does not automatically ensure parallel processing. Recent work on the question of whether bees can see 'at a glance' indicates that bees must acquire spatial detail by sequential scanning rather than parallel processing. We explore how this might be tested for a numerosity task in bees and other animals.
机译:20世纪90年代中期,当类似计数的能力首次在蜜蜂身上被描述时,许多学者持怀疑态度,但此后,这种能力在许多范例和其他昆虫物种中得到了证实。与计数是一种认知高级能力这一直观概念相反,神经网络分析表明,它可以由非常小的神经回路介导,因此,昆虫和其他小型脑动物(如一些小鱼)表现出这种能力,我们或许不应感到惊讶。一个悬而未决的问题是蜜蜂实际上是如何获取数字信息的。对于小数字的感知,工作记忆容量可能会限制可以列举的项目的数量,但在这些限制范围内,数字可以准确地评估,并且(至少在灵长类动物中)可以并行评估。然而,视觉刺激的并行呈现并不能自动确保并行处理。最近关于蜜蜂能否“一目了然”的研究表明,蜜蜂必须通过顺序扫描而不是并行处理来获取空间细节。我们将探索如何在蜜蜂和其他动物身上测试这一数字任务。

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