Gamma Rhythm Analysis and Simulation Using Neuron Models

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