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Learning alters theta amplitude, theta-gamma coupling and neuronal synchronization in inferotemporal cortex

Keith M Kendrick1, Yang Zhan1, Hanno Fischer1, Alister U Nicol1, Xuejuan Zhang2 and Jianfeng Feng34*

Author Affiliations

1 Laboratory of Molecular Signalling, Cognitive and Systems Neuroscience Group, The Babraham Institute, Cambridge CB22 3AT, UK

2 Mathematical Department, Zhejiang Normal University, Zhejiang 321004, PR China

3 Department of Computer Science, Warwick University, Coventry, CV4 7AL, UK

4 Centre for Computational Systems Biology, Fudan University, Shanghai, PR China

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BMC Neuroscience 2011, 12:55  doi:10.1186/1471-2202-12-55

Published: 9 June 2011

Additional files

Additional file 1:

Figure S1. Face and object stimulus pairs used in each of the three sheep.

Title: Figure S2.

Description: Theta and gamma power during a stimulus.

Title: Figure S3.

Description: Theta phase/gamma amplitude coupling of simulated data.

Title: Figure S4.

Description: Averaged visual evoked potentials (VEPs) from IT recordings.

Title: Figure S5.

Description: Examples of IT MUA phase locking to theta.

Title: Figure S6.

Description: Latency and duration of theta amplitude increase in IT and network model.

Title: Figure S7.

Description: Synchronized theta waves across IT recording arrays and in the network model

Title: Figure S8.

Description: Tightening of theta phase during a stimulus after learning in IT and network model

Title: Figure S9.

Description: Model simulations showing increased theta-gamma coherence independent of increased theta amplitude.

Title: Figure S10.

Description: IT neuronal spike activity during theta waves and correlation between altered synchronization and behavior following learning.

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