Temporal structure of neural activity and modelling of information processing in the brain

被引：0
|
作者：
Borisyuk, R [1 ]
Borisyuk, G [1 ]
Kazanovich, Y [1 ]
机构：
[1] Univ Plymouth, Ctr Neural & Adapt Syst, Sch Comp, Plymouth PL4 8AA, Devon, England
来源：
EMERGENT NEURAL COMPUTATIONAL ARCHITECTURES BASED ON NEUROSCIENCE: TOWARDS NEUROSCIENCE-INSPIRED COMPUTING | 2001年 / 2036卷
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper considers computational models of spatio-temporal patterns of neural activity to check hypotheses about the role of synchronisation, temporal and phase relations in information processing. Three sections of the paper are devoted, respectively, to the neuronal coding; to the study of phase relations of oscillatory activity in neural assemblies; and to synchronisation based models of attention.
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页码：237 / 254
页数：18
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