注意(计算)差距

Matthew C. Casey, Athanasios Pavlou, A. Timotheou
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引用次数: 3

摘要

尽管在计算智能和计算神经科学方面都取得了许多进步,但很明显,我们还没有从研究人类大脑中充分发挥自然启发解决方案的潜力。大脑功能模型已经达到了可以建立大规模大脑模型的阶段,但这些诱人的计算结构还不能应用于现实世界的问题,因为它们缺乏与现实世界输入或输出相连接的能力。本文介绍了创建一个计算中心的概念,该计算中心有可能将真实的感官刺激与更高的皮层模型联系起来。这是通过模拟皮层下结构来实现的,比如上丘,它具有理想的计算原理,包括快速、多感官和判别处理。我们在一个使用实时视频和音频执行实时说话人定位的系统中展示了这些皮层下原理中的一些,展示了这些模型如何帮助我们弥合计算差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mind the (computational) gap
Despite many advances in both computational intelligence and computational neuroscience, it is clear that we have yet to achieve the full potential of nature inspired solutions from studying the human brain. Models of brain function have reached the stage where large-scale models of the brain have become possible, yet these tantalising computational structures cannot yet be applied to real-world problems because they lack the ability to be connected to real-world inputs or outputs. This paper introduces the notion of creating a computational hub that has the potential to link real sensory stimuli to higher cortical models. This is achieved through modelling subcortical structures, such as the superior colliculus, which have desirable computational principles, including rapid, multisensory and discriminative processing. We demonstrate some of these subcortical principles in a system that performs real-time speaker localisation using live video and audio, showing how such models may help us bridge the computational gap.
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