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Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
Published on: April 15, 2015
Chaotic phase synchronization in a modular neuronal network of small-world subnetworks
Haitao Yu1, Jiang Wang, Qiuxiang Liu
1School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People's Republic of China.
Chaos (Woodbury, N.Y.)
|January 10, 2012
Summary
We found that chaotic phase synchronization in bursting neuronal networks can be controlled by adjusting coupling strengths or external signals. This offers insights into managing bursting activity in conditions like epilepsy.
Area of Science:
- Computational Neuroscience
- Network Science
- Nonlinear Dynamics
Background:
- Neuronal synchronization, particularly bursting, is crucial for brain function and implicated in neurological disorders.
- Modular small-world networks offer a more realistic model for brain architecture.
- Understanding control mechanisms for neuronal synchronization is vital for therapeutic interventions.
Purpose of the Study:
- To investigate the onset and control of chaotic phase synchronization in modular neuronal networks.
- To explore the influence of network structure and external driving on bursting synchronization.
- To assess the potential of external signals for modulating pathological bursting activity.
Main Methods:
- Simulating bursting oscillators within a modular small-world neuronal network.
- Analyzing synchronization transitions on both bursting and spiking timescales.
- Investigating the effects of varying inter/intra-coupling strengths and random link probabilities.
- Applying external time-periodic signals to induce and control chaotic phase synchronization.
Main Results:
- A transition to mutual phase synchronization on the bursting timescale was observed, distinct from asynchronous spiking.
- Synchronization was tunable via coupling strengths and network topology (random link probability).
- External periodic driving induced a frequency-locking tongue, maintaining synchronization.
- Synchronization region width depended on signal amplitude, number of driven neurons, and network size.
Conclusions:
- Chaotic phase synchronization of bursting neurons in modular networks is controllable through network parameters and external signals.
- External driving can effectively regulate bursting synchronization, with parameters influencing the synchronization region.
- Findings have implications for understanding and potentially controlling pathological bursting activity in neuronal ensembles.
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