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Processing speed in recurrent visual networks correlates with general intelligence
被引:9
|作者:
Jolij, Jacob
Huisman, Danielle
Scholte, Steven
Hamel, Ronald
Kemner, Chantal
Lamme, Victor A. F.
机构:
[1] Univ Amsterdam, Dept Psychol, Amsterdam, Netherlands
[2] Netherlands Ophthalm Res Inst, Vis & Cognit Lab, NL-1100 AC Amsterdam, Netherlands
[3] Univ Utrecht, Med Ctr, Dept Psychiat, Sect Dev Disorders, Utrecht, Netherlands
[4] Swiss Fed Inst Technol, Brain Mind Inst, Lab Psychophys, CH-1015 Lausanne, Switzerland
来源:
关键词:
intelligence;
recurrent processing;
scene segmentation;
visual processing;
D O I:
10.1097/01.wnr.0000236863.46952.a6
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
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.
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页码:39 / 43
页数:5
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