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Neural oscillations are electrical activities of the brain measurable atdifferent frequencies. This paper studies the interaction between the fast andslow processes in the brain. We recorded signals intracranially from the simpleWistar rats, performed the signal processing, and computed the correlationbetween envelopes of the high-frequency gamma rhythm and a low-frequency ECoGsignal. The analysis shows that the low-frequency signal (delta rhythm)modulates the gamma rhythm with a small time delay. Further, we used simpleexcitable neuron models, namely FitzHugh-Nagumo and Hindmarsh-Rose, to simulatethe gamma rhythm. The low-frequency signal delta rhythm can be used as theinput to affect the threshold and simulate gamma rhythm using these neuronmodels.

Gamma Rhythm Analysis and Simulation Using Neuron Models