Attention, learning, and the value of information.

Attention, learning, and the value of information.
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DOI:
10.1016/j.neuron.2012.09.034
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发表时间:
2012-10-18
期刊:
影响因子:
16.2
通讯作者:
Gottlieb J
Gottlieb J
中科院分区:
医学1区
文献类型:
--
作者:
Gottlieb J

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尽管有许多关于选择性注意的研究,但关于其性质和神经机制的基本问题仍然存在。我借鉴了动物和机器学习领域,将注意力描述为主动学习和减少不确定性的机制,并探讨了这种观点对理解视觉注意力和眼动控制的影响。这些不同观点的更紧密结合有可能极大地扩展我们对眼动控制的理解,以及我们使用这个系统作为高级但知之甚少的认知功能的窗口的能力,包括好奇心和探索以及推断外部世界的内部模型。
Despite many studies on selective attention, fundamental questions remain about its nature and neural mechanisms. I draw from the animal and machine learning fields that describe attention as a mechanism for active learning and uncertainty reduction, and explore the implications of this view for understanding visual attention and eye movement control. A closer integration of these different views has the potential greatly to expand our understanding of oculomotor control and our ability to use this system as a window into high level but poorly understood cognitive functions, including curiosity and exploration and inferring internal models of the external world.
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