大脑是一个触发系统

M. D. Viva, G. Punzi
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引用次数: 1

摘要

在HEP中与实时事件选择相关的问题与人类视觉系统所面临的问题之间有重要的相似之处。事实上,为了生存,视觉系统需要从大量的信息中快速提取外部世界中最重要的元素。快速可靠地检测视觉刺激对于触发对情绪刺激的自主反应、启动适应性行为和定向潜在有趣/危险的刺激至关重要。视觉处理的速度可快至20毫秒,约为动作电位基本信息交换时间的20倍。由于神经元活动的内在能量消耗和头骨大小的生态限制,大脑处理视觉信息的能力受到限制,因此需要在早期阶段进行强有力的数据缩减,通过创建相关信息的紧凑摘要,即所谓的“原始草图”,以便在进一步的处理中处理。这与实验性HEP的问题非常相似,即以合理的货币成本和实用的设备尺寸提供快速的数据缩减。在HEP物理学家和执业视觉科学家的共同努力下,我们最近提出,这两个案例不仅问题相似,而且采用的解决方案也有很强的相似性,它们的平行研究实际上可以相互启发。将视觉系统建模为触发处理器,可以更深入地理解,甚至可以非常具体地预测其功能。相反,从这种新的视觉方法中获得的见解,可以为增强人工视觉系统和HEP触发系统的能力带来新的想法。
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The brain as a trigger system
There are significant analogies between the issues related to real-time event selection in HEP, and the issues faced by the human visual system. In fact, the visual system needs to extract rapidly the most important elements of the external world from a large flux of information, for survival purposes. A rapid and reliable detection of visual stimuli is essential for triggering autonomic responses to emotive stimuli, for initiating adaptive behaviors and for orienting towards potentially interesting/ dangerous stimuli. The speed of visual processing can be as fast as 20 ms, about only 20 times the duration of the elementary information exchanges by the action potential. The limitations to the brain capacity to process visual information, imposed by intrinsic energetic costs of neuronal activity, and ecological limits to the size of the skull, require a strong data reduction at an early stage, by creating a compact summary of relevant information, the so called "primal sketch", to be handled by further levels of processing. This is quite similar to the problem of experimental HEP of providing fast data reduction at a reasonable monetary cost, and with a practical device size. As a result of a joint effort of HEP physicists and practicing vision scientists, we recently proposed that not only the problems are similar, but the solutions adopted in the two cases also have strong similarities, and their parallel study can actually shed light on each other. Modeling the visual system as a trigger processor leads to a deeper understanding, and even very specific predictions of its functionality. Conversely, the insights gained from this new approach to vision, can lead to new ideas for enhancing the capabilities of artificial vision systems, and HEP trigger systems as well.
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