Abstract
BACKGROUND: Gamma cycle is related to high order brain activities but its mechanisms and functions are not clearly understood. Two network models are proposed to describe the emergence of gamma cycle. Pyramidal-interneuron gamma (PING) is a cross-coupling network model between excitatory and inhibitory neural population. Interneuron gamma (ING) is a self-coupling network model inside of inhibitory neural population. However, synchronization characteristics of the gamma cycles remain unclear. METHODS: Here, we derive phase response functions of the gamma cycles to investigate their synchronization characteristics. We analyzed neural populations by modified theta model neurons whose firing characteristics and ratio of excitatory and inhibitory are different. We derived macroscopic characteristics from population models which is derived from corresponding modified theta model. RESULTS and DISCUSSION: When inhibitory population is pulse-stimulated, PING phase shift occurs to backward, and ING phase shift occurs to forward. These differences would make functional differences between PING and ING. ACKNOWLEDGEMENTS: This research was partly supported by JST PRESTO and SCOPE.
