Summary

the 2014 International Symposium on Nonlinear Theory and its Applications

2014

Session Number:D2L-A

Session:

Number:D2L-A4

Heterogenous cluster formation in the activity-dependent time-varying network

Takaaaki Aoki,  

pp.743-746

Publication Date:2014/9/14

Online ISSN:2188-5079

DOI:10.34385/proc.46.D2L-A4

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Summary:
In this work, we investigated the organization of activity-dependent time-varying network of coupled phase oscillators, where the coupling weights dynamically change depending on the relative timings between the oscillators. We determined the phase coupling function Γ(?) of the oscillator model using conductance-based neuron models and examined the effects of the Fourier zero mode of Γ(?). We demonstrated that heterogeneous layered clusters with different frequencies emerge from homogeneous populations as the Fourier zero mode increased. Our findings would provide new insights into the self-assembly mechanisms of neural networks related to synaptic plasticity.