Learning alters theta amplitude, theta-gamma coupling and neuronal synchronization in inferotemporal cortex
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
BMC Neuroscience 2011, 12:55 doi:10.1186/1471-2202-12-55Published: 9 June 2011
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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