Display Abstract

Title Gamma oscillations with frequency volatility in an excitatory-inhibitory network

Name Zhijie Wang
Country Peoples Rep of China
Email wangzj@dhu.edu.cn
Co-Author(s) Hong Fan
Submit Time 2014-02-27 09:29:23
Session
Special Session 22: Modeling and dynamic analysis of complex patterns in biological systems and data
Contents
Gamma rhythms may involve in many functional roles such as acting as reference signals for temporal encoding, sensory binding of features into a coherent percept, and storage and recall of information. Many experimental studies found that gamma oscillation appears in V1 after the presentation of the visual stimuli. A characteristic property of the gamma oscillation in V1 is that the peak frequency of the oscillation is sensitive to the strength, the size, or the contrast of the visual stimuli. However, according to the mechanism of the interneuron gamma(ING) and pyramidal-interneuron gamma (PING), the network frequency is sensitive to the decay time constant of the inhibitory synapses and is insensitive to other parameters. To explore the underlying mechanism of the frequency volatility of the gamma oscillation in V1, a simple excitatory/inhibitory (E/I) neural network, which simulates the structure of that of V1, is constructed. Gamma oscillation appears in the E/I network, the frequency of which is sensitive to the synaptic delay and the external drives. The frequency of the oscillation even varies in the two runs of the simulation of the same network with different initial conditions.