a computational study on altered theta-gamma coupling during learning and phase coding计算研究改变theta-gamma耦合在学习阶段的编码.pdfVIP

A Computational Study on Altered Theta-Gamma Coupling during Learning and Phase Coding 1. 2. 1 3,5 1,4,6 Xuejuan Zhang , Keith M. Kendrick , Haifu Zhou , Yang Zhan , Jianfeng Feng * 1 Mathematical Department, Zhejiang Normal University, Jinhua, P.R. China, 2 Key Laboratory for Neuroinformation, Social Cognition and Affective Neuroscience Group, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, P.R. China, 3 Mouse Biology Unit, European Molecular Biology Laboratory, Monterotondo, Italy, 4 Center for Computational System Biology, Fudan University, Shanghai, P.R. China, 5 EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom, 6 Department of Computer Science, Warwick University, Coventry, United Kingdom 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