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Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
Published on: May 29, 2017
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Synchronization and array-enhanced resonances in delayed coupled neuronal network with channel noise.
Jianchun Chen1, Shaojie Ding1, Hui Li1
1Mathematical Department, Zhejiang Normal University, Zhejiang Province 312000, People's Republic of China.
Chaos (Woodbury, N.Y.)
|October 3, 2014
Summary
This study reveals how transmission delays and channel fluctuations impact neuronal network behavior. Coherence resonance is observed, and transmission delays induce intermittent dynamics with two distinct firing rate peaks.
Area of Science:
- Computational Neuroscience
- Network Dynamics
Background:
- Neuronal networks exhibit complex behaviors influenced by internal and external factors.
- Understanding the interplay of transmission delay and channel fluctuations is crucial for modeling brain function.
Purpose of the Study:
- To investigate the combined effects of transmission delay and channel fluctuations on excitatory Erdös-Rényi neuronal network dynamics.
- To identify conditions promoting spatial-temporal coherence and analyze firing rate resonances.
Main Methods:
- Simulations of an excitatory Erdös-Rényi neuronal network (N=500).
- Analysis of population behaviors under varying transmission delays, membrane sizes, and network topologies (connection probability).
Main Results:
- A stimulus-free, array-enhanced coherence resonance occurs at a suitable membrane size.
- Transmission delay induces intermittent population dynamics and two resonant peaks in firing rate.
- Network topology affects synchronous firing: decreasing connection probability broadens the range of synaptic coupling for coherent action potentials.
Conclusions:
- Coherence resonance and delay-induced dynamics are key features of neuronal networks.
- Transmission delays play a significant role in shaping population firing patterns and network states.
- Network connectivity critically influences the transition between asynchronous and synchronous neuronal firing.
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