Zhang, Xuejuan, Kendrick, Keith M., Zhou, Haifu, Zhan, Yang and Feng, Jianfeng (2012) A computational study on altered theta-gamma coupling during learning and phase coding. PLoS ONE, Vol.7 (No.6). e36472. doi:10.1371/journal.pone.0036472

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Abstract

There is considerable interest in the role of coupling between theta and gamma oscillations in the brain in the context of learning and memory. Here we have used a neural network model which is capable of producing coupling of theta phase to gamma amplitude firstly to explore its ability to reproduce reported learning changes and secondly to memory-span and phase coding effects. The spiking neural network incorporates two kinetically different GABAA receptor-mediated currents to generate both theta and gamma rhythms and we have found that by selective alteration of both NMDA receptors and GABAA,slow receptors it can reproduce learning-related changes in the strength of coupling between theta and gamma either with or without coincident changes in theta amplitude. When the model was used to explore the relationship between theta and gamma oscillations, working memory capacity and phase coding it showed that the potential storage capacity of short term memories, in terms of nested gamma-subcycles, coincides with the maximal theta power. Increasing theta power is also related to the precision of theta phase which functions as a potential timing clock for neuronal firing in the cortex or hippocampus.

Item Type:	Journal Article
Subjects:	Q Science > QP Physiology
Divisions:	Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH):	Neural networks (Neurobiology), Theta rhythm, Memory -- Physiological aspects, Learning -- Physiological aspects
Journal or Publication Title:	PLoS ONE
Publisher:	PLOS
ISSN:	1932-6203
Official Date:	2012
Dates:	Date Event 2012 Published
Volume:	Vol.7
Number:	No.6
Page Range:	e36472
DOI:	10.1371/journal.pone.0036472
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	Royal Society (Great Britain), Engineering and Physical Sciences Research Council (EPSRC), European Union (EU), Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC), Zhejiang Innovation Project, Foundation for the Author of National Excellent Doctoral Dissertation (China)
Grant number:	EP/E002331/1 (EPSRC), BION (EU), 10971196 (NSFC), T200905 (Zhejiang)

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