Neural Dynamics and Gamma Oscillation on a Hybrid Excitatory-Inhibitory Complex Network (Student Abstract)

Authors

  • Yuan Wang Beijing University of Posts and Telecommunications
  • Xia Shi Beijing University of Posts and Telecommunications
  • Bo Cheng Beijing University of Posts and Telecommunications
  • Junliang Chen Beijing University of Posts and Telecommunications

DOI:

https://doi.org/10.1609/aaai.v34i10.7251

Abstract

This paper investigates the neural dynamics and gamma oscillation on a complex network with excitatory and inhibitory neurons (E-I network), as such network is ubiquitous in the brain. The system consists of a small-world network of neurons, which are emulated by Izhikevich model. Moreover, mixed Regular Spiking (RS) and Chattering (CH) neurons are considered to imitate excitatory neurons, and Fast Spiking (FS) neurons are used to mimic inhibitory neurons. Besides, the relationship between synchronization and gamma rhythm is explored by adjusting the critical parameters of our model. Experiments visually demonstrate that the gamma oscillations are generated by synchronous behaviors of our neural network. We also discover that the Chattering(CH) excitatory neurons can make the system easier to synchronize.

AAAI-20 Proceedings Cover

Downloads

Published

2020-04-03

How to Cite

Wang, Y., Shi, X., Cheng, B., & Chen, J. (2020). Neural Dynamics and Gamma Oscillation on a Hybrid Excitatory-Inhibitory Complex Network (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13957-13958. https://doi.org/10.1609/aaai.v34i10.7251

Issue

Vol. 34 No. 10: Issue 10: AAAI-20 Student Tracks

Section

Student Abstract Track