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Bursting hierarchy in an adaptive exponential integrate-and-fire network synchronization
Congping Lin1,2,3, Xiaoyue Wu1, Yiwei Zhang4,5,6
1School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.
Biological Cybernetics
|August 31, 2022
Summary
Neuronal network synchronization is influenced by initial conditions and network structure. We discovered a hierarchical bursting order where upper-layer neurons fire earlier, with bursting influenced by stimuli and connections.
Area of Science:
- Computational Neuroscience
- Network Dynamics
- Systems Biology
Background:
- Neuronal network synchronization is crucial for brain function.
- Understanding bursting synchronization requires considering both intrinsic neuronal properties and network topology.
Purpose of the Study:
- To investigate how initial membrane potentials and network topology affect bursting synchronization in neuronal networks.
- To elucidate the sequential order of bursting among neurons and identify factors governing this order.
Main Methods:
- Modeling neuronal networks with varying initial membrane potentials and topologies.
- Analyzing bursting synchronization patterns and the temporal sequence of neuronal firing.
- Constructing directed graphs to represent bursting propagation between layered network structures.
Main Results:
- A hierarchical phenomenon in bursting order was observed, with neurons in upper layers exhibiting earlier bursting.
- Bursting order within a layer correlated with the number of connections to upper layers, indicating stimulus influence.
- Neurons with fewer connections to the upper layer burst earlier when receiving similar stimuli.
Conclusions:
- Initial membrane potentials and network topology significantly dictate neuronal bursting synchronization.
- A layered structure emerges in bursting dynamics, with propagation influenced by network connectivity.
- The interplay between network structure and neuronal excitability determines the precise bursting sequence.
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