远离人类的动物模式感知

M. Land
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引用次数: 0

摘要

仅给出摘要形式,如下。人类凭借大脑皮层的巨大计算能力,已经成功解决了大多数使模式识别成为一项艰巨任务的问题。其他动物就没有这么强的处理能力了:例如,昆虫的大脑有105到106个神经元,而我们的大脑只有1011个。尽管如此,它们仍然需要识别捕食者、猎物和同种生物,并在世界各地找到自己的路。这通常意味着他们必须走捷径,以经济的方式使用他们拥有的机器。这通常意味着调整它们的识别系统,只针对那些真正重要的特征,而不是像灵长类动物那样实现通用机制。在这次演讲中,我将研究一些巧妙的,有时是奇怪的解决方案,这些解决方案是昆虫,蜘蛛,螃蟹和软体动物等动物提出的,以简化模式识别任务,同时仍然满足它们通常复杂行为的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pattern Perception in Animals Remote from Man
Summary form only given, as follows. Humans, with the massive computational power of the cerebral cortex, have managed to solve most of the problems that make pattern recognition such a difficult task. Other animals are not so well endowed with processing power: an insect brain, for example, has 105 to 106 neurons compared with our 1011. Nevertheless, they still have to recognise predators, prey and conspecifics, and find their way around the world. Often this means that they have to cut corners, using what machinery they have in economical ways. Typically this means tailoring their recognition systems to just those features that really matter, rather than going for the general purpose mechanism that primates have achieved. In this talk I will examine some of the ingenious and sometimes strange solutions that animals such as insects, spiders, crabs and molluscs have come up with to simplify the tasks of pattern recognition, while still satisfying their requirements of their often complex behaviour.
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CiteScore
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