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Updated: May 7, 2026
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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
Published on: November 12, 2019
Adaptive coupling optimized spiking coherence and synchronization in Newman-Watts neuronal networks
Yubing Gong1, Bo Xu, Ya'nan Wu
1School of Physics and Optoelectronic Engineering, Ludong University, Yantai, Shandong 264025, China.
Chaos (Woodbury, N.Y.)
|October 5, 2013
Summary
Adaptive coupling in neuronal networks enhances spike synchronization and temporal coherence. Increasing coupling speed boosts synchronization, while appropriate speeds optimize coherence, especially with random shortcuts.
Area of Science:
- Computational Neuroscience
- Network Science
Background:
- Neuronal networks exhibit complex dynamics influenced by network topology and coupling mechanisms.
- Understanding how adaptive coupling affects neural synchrony and coherence is crucial for brain function.
Purpose of the Study:
- To numerically investigate the impact of adaptive coupling on temporal coherence and synchronization of spiking activity in Newman-Watts Hodgkin-Huxley neuronal networks.
- To elucidate the interplay between adaptive coupling parameters and network structure (random shortcuts) in modulating neural activity.
Main Methods:
- Numerical simulations of Hodgkin-Huxley neuronal networks.
- Analysis of spiking activity, focusing on synchronization and temporal coherence metrics.
- Systematic variation of adaptive coupling parameters (increment speed, strength) and network topology (presence of random shortcuts).
Main Results:
- Increased adaptive coupling increment speed enhances spiking synchronization more rapidly.
- Optimal temporal coherence is achieved at specific adaptive coupling increment speeds.
- Adaptive coupling strength positively influences spike synchronization and temporal coherence, particularly when random shortcuts are present.
- Adaptive coupling significantly impacts spiking activity in networks with random shortcuts.
Conclusions:
- Adaptive coupling plays a critical role in modulating spiking activity in neuronal networks.
- The findings highlight the potential of adaptive coupling to enhance and optimize neural information processing and transmission.
- This study provides insights into the mechanisms by which network structure and adaptive dynamics interact to shape neural communication.
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