Oscillation in a network model of neocortex

被引：8

作者：

Dwyer, Jennifer ^{[1
]}

Lee, Hyong ^{[1
]}

Martell, Amber ^{[1
]}

Stevens, Rick ^{[2
,3
]}

Hereld, Mark ^{[2
,3
]}

van Drongelen, Wim ^{[1
,2
]}

机构：

[1] Univ Chicago, Dept Pediat, Chicago, IL 60637 USA

[2] Univ Chicago, Computat Inst, Chicago, IL 60637 USA

[3] Argonne Natl Lab, Div Math & Comp Sci, Argonne, IL 60439 USA

来源：

NEUROCOMPUTING | 2010年 / 73卷 / 7-9期

基金：

美国国家科学基金会;

关键词：

Neuronal resonance; Network oscillation; Electrical stimulation; Neocortex; NEURONS; INTERNEURONS; ORGANIZATION; INPUT;

D O I：

10.1016/j.neucom.2009.12.021

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A basic understanding of the relationship between activity of individual neurons and macroscopic electrical activity of local field potentials, or electroencephalogram (EEG), may provide guidance for experimental design in neuroscience, improve development of therapeutic approaches in neurology, and offer opportunities for computer-aided design of brain-computer interfaces. We study the relationship between resonant properties of neurons and network oscillations in a computational model of neocortex. Our findings suggest that resonance is associated with subthreshold oscillation of neurons. This subthreshold behavior affects spike timing and plays a significant role in the generation of the network's extracellular currents reflected in the EEG. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1051 / 1056

页数：6

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