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Coherence resonance for neuronal bursting with spike undershoot
Ben Cao1, Runxia Wang1, Huaguang Gu1
1School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, 200092 China.
Cognitive Neurodynamics
|March 31, 2021
Summary
Coherence resonance (CR) is demonstrated in bursting neurons with spike undershoots, unlike those without. This finding reveals noise can enhance neural information processing in specific bursting patterns.
Area of Science:
- Computational Neuroscience
- Nonlinear Dynamics
- Systems Neuroscience
Background:
- Synaptic noise influences brain function, with noise-induced coherence resonance (CR) previously observed in subthreshold oscillations, not bursting patterns.
- Bursting patterns with spike undershoots are implicated in physiological and cognitive functions, but their interaction with noise-induced CR remains unclear.
Purpose of the Study:
- To investigate whether CR can be evoked from bursting patterns, specifically those with spike undershoots.
- To elucidate the underlying mechanisms differentiating CR emergence in bursting patterns with and without spike undershoots.
- To expand the understanding of CR phenomena and noise's role in neural information processing.
Main Methods:
- Classification of bursting patterns using bifurcation analysis and fast-slow variable dissection.
- Analysis of spike train power spectrum to characterize CR.
- Comparison of subthreshold oscillation trajectories with spike trajectories within bursts.
Main Results:
- CR was successfully evoked from bursting patterns with spike undershoots, characterized by an initial increase and subsequent decrease in power spectrum peak.
- CR was not observed in bursting patterns lacking spike undershoots.
- The proximity of subthreshold oscillation trajectories to spike trajectories in bursting patterns with undershoots facilitated noise-induced spiking and CR.
Conclusions:
- This study presents a novel instance of CR in bursting neuronal models, specifically those with spike undershoots.
- The findings demonstrate that noise can enhance, rather than suppress, information processing in bursting patterns with spike undershoots.
- The results contribute to understanding the dynamics and functional significance of specific bursting patterns in neural systems.
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