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Published on: September 2, 2013
Synchronization of Electrically Coupled Resonate-and-Fire Neurons
Thomas Chartrand1, Mark S Goldman2, Timothy J Lewis3
1Graduate Group in Applied Mathematics, University of California-Davis, Davis, CA 95616. Current address: Allen Institute for Brain Science, Seattle, WA.
Electrical coupling synchronizes neurons through both spikes and subthreshold fluctuations. Post-spike voltage elevation enhances this synchronization, while reset-induced shear can oppose it in asymmetric networks.
Area of Science:
- Computational Neuroscience
- Neural Oscillations
- Network Dynamics
Background:
- Electrical coupling is widespread in the brain, often assumed to drive network synchronization.
- Intrinsic neuronal properties, like subthreshold resonance and post-spike voltage dynamics, can influence synchronized activity.
- The interplay between spike-mediated and subthreshold electrical coupling effects on synchrony remains incompletely understood.
Purpose of the Study:
- To investigate how both spike-mediated and subthreshold electrical coupling influence neuronal synchrony.
- To analyze the role of intrinsic neuronal properties, such as resonance and post-spike voltage dynamics, in electrical coupling.
- To explore the impact of network asymmetry on synchrony mediated by electrical synapses.
Main Methods:
- Utilized the theory of weakly coupled oscillators to model small networks of resonate-and-fire neurons.
- Calculated the phase response curve using an extended adjoint method, accounting for discontinuous post-spike reset.
- Analyzed the contribution of subthreshold fluctuations and spike dynamics to network synchronization.
Main Results:
- Both action potentials (spikes) and subthreshold fluctuations transmitted through electrical synapses promote network synchronization.
- The synchronizing effect of subthreshold fluctuations is amplified by significant post-spike voltage elevation (plateau potentials).
- A 'reset-induced shear' effect, arising from trajectories approaching the spiking threshold, can disrupt synchrony in asymmetric networks.
Conclusions:
- Electrical coupling synchronizes neuronal networks through a combination of spike and subthreshold mechanisms.
- Intrinsic neuronal properties, particularly post-spike voltage dynamics, significantly modulate the synchronizing efficacy of electrical synapses.
- Network asymmetry can lead to desynchronization due to reset-induced shear, highlighting the complexity beyond simple pairwise coupling.
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