Abstract
Characteristic phase shifts between discharges of pyramidal cells and interneurons in oscillation have been widely observed in experiments, and they have been suggested to play important roles in neural computation. Previous studies mainly explored two independent mechanisms to generate neural oscillation, one is based on the interaction loop between pyramidal cells and interneurons, referred to as the E-I loop, and the other is based on the interaction loop between interneurons, referred to as the I-I loop. In the present study, we consider neural networks consisting of both the E-I and I-I loops, and the network oscillation can operate under either E-I loop dominating mode or I-I loop dominating mode, depending on the network structure, and neuronal connection patterns. We found that the phase shift between pyramidal cells and interneurons displays different characteristics in different oscillation modes, and its amplitude varies with the network parameters. We expect that this study helps us to understand the structural characteristics of neural circuits underlying various oscillation behaviors observed in experiments.
Highlights
Oscillatory responses are widely observed in neural systems
Oscillations ubiquitously exist in neural systems, and characteristic phase shifts between different types of neurons during oscillation have been observed in experiments (Fisahn et al, 1998; Csicsvari et al, 2003; Hájos et al, 2004; Hasenstaub et al, 2005; Mann and Paulsen, 2005; Mann et al, 2005a,b; Oren et al, 2006; Gulyás et al, 2010; Vinck et al, 2013; Zemankovics et al, 2013)
Previous studies have revealed that either the E-I or the I-I loop formed by neurons can generate oscillation (Fries et al, 2007; Wang, 2010), but none of them has compared the different phase relationships between neurons produced by the two mechanisms
Summary
Oscillatory responses are widely observed in neural systems. It has been an active research topic for decades to unveil the origins of these oscillations and their potential roles in computation. The spiking probability of a neuron typically exhibits a peaked distribution at a fixed phase with respect to the circle of the oscillating local field potential, which is called the phase of neuronal response. With respect to the period of local field potential, this corresponds to a significant phase shift of 60◦ in vivo (Csicsvari et al, 2003; Vinck et al, 2013), and 55◦ (Mann et al, 2005a) or 23◦ (Hájos et al, 2004; Oren et al, 2006) in vitro. In the network with both the E-I and I-I loops, the background inputs to pyramidal cell and interneuron are set to be 1.4 and 1 kHz Poisson spike trains, respectively
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