Gamma oscillations and stimulus selection

被引：100

作者：

Boergers, Christoph ^{[1
]}

Kopell, Nancy J. ^{[2
,3
]}

机构：

[1] Tufts Univ, Dept Math, Medford, MA 02155 USA

[2] Boston Univ, Dept Math, Boston, MA 02215 USA

[3] Boston Univ, Ctr Biodynam, Boston, MA 02215 USA

来源：

NEURAL COMPUTATION | 2008年 / 20卷 / 02期

关键词：

D O I：

10.1162/neco.2007.07-06-289

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

More coherent excitatory stimuli are known to have a competitive advantage over less coherent ones. We show here that this advantage is amplified greatly when the target includes inhibitory interneurons acting via GABA(A)-receptor-mediated synapses and the coherent input oscillates at gamma frequency. We hypothesize that therein lies, at least in part, the functional significance of the experimentally observed link between attentional biasing of stimulus competition and gamma frequency rhythmicity.

引用

收藏

页码：383 / 414

页数：32

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