Processing speed in recurrent visual networks correlates with general intelligence
Processing speed in recurrent visual networks correlates with general intelligence
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DOI：
10.1097/01.wnr.0000236863.46952.a6
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发表时间：
2007-01-08
期刊：
影响因子：
1.7
通讯作者：
Lamme, Victor A. F.
中科院分区：
文献类型：
--
作者：
Jolij, Jacob;Huisman, Danielle;Lamme, Victor A. F.
对一般液体智力的神经基础的研究有力地表明，更聪明的大脑处理信息的速度更快。然而，不同的大脑区域通过前馈和反馈投影相互联系。在更聪明的大脑中，是两种类型的连接都更快，还是只有一种类型的连接速度更快，目前还不清楚。在这里，我们通过在纹理辨别任务中测量视觉诱发电位，发现在重复视觉网络中，一般流体智力与加工速度有很强的相关性，而与前馈连接的速度没有相关性。更聪明的大脑运行得更快的假设可能需要改进：更聪明的大脑的反馈连接运行得更快。
Studies on the neural basis of general fluid intelligence strongly suggest that a smarter brain processes information faster. Different brain areas, however, are interconnected by both feedforward and feedback projections. Whether both types of connections or only one of the two types are faster in smarter brains remains unclear. Here we show, by measuring visual evoked potentials during a texture discrimination task, that general fluid intelligence shows a strong correlation with processing speed in recurrent visual networks, while there is no correlation with speed of feedforward connections. The hypothesis that a smarter brain runs faster may need to be refined: a smarter brain's feedback connections run faster.