Abstract
The present study investigated time-varying coherence to analyze the spectrum synchronization pattern among multi-channel local field potentials (LFPs). Spectrogram analysis, Fast Fourier Transform (FFT) and power density estimate on LFPs were performed for characteristic bandwidth as theta-band power. 16-channel’s time-varying spectrum coherence was calculated between each channel and reference channel with 200-ms window sliding and 50% overlap. And the same principles were applied to analyze neuronal population discharges as well. The basic variables for coherence can be acquired after getting the average firing rates of individual neurons around a behavioral event (an auditory stimulation in a behavioral task). The results show that the linear coherence increased at the onset of the stimulation for both LFPs and neuronal population. These results indicate that the time-varying coherence spectrum synchronization analysis is a powerful tool for revealing the dynamic coherence spatial distribution characteristic of electroneurographic signals.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
