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When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks.

Atthaphon Viriyopase1, Ingo Bojak, Magteld Zeitler

  • 1Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen (Medical Centre) Nijmegen, Netherlands.

Frontiers in Computational Neuroscience
|August 7, 2012
PubMed
Summary

Zero-lag synchrony in neuronal networks is possible, especially with Hodgkin-Huxley neurons and Spike-Timing Dependent Plasticity (STDP). STDP enhances zero-lag synchrony by adjusting synaptic strengths, broadening parameter ranges for feasibility.

Keywords:
long-range synchronizationspike-timing dependent plasticityzero-lag synchronization

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Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Long-range neuronal synchronization, particularly in beta (14-30 Hz) and gamma (40-80 Hz) bands, is frequently reported.
  • Zero-lag synchrony has been observed, prompting speculation about its functional roles in cognition, despite inherent synaptic and conduction delays.

Purpose of the Study:

  • To investigate the conditions under which zero-lag synchrony can occur in neuronal networks.
  • To explore the influence of different neuronal types and synaptic plasticity on achieving zero-lag synchrony.

Main Methods:

  • Utilized analytical methods and computer simulations to model interactions between neuronal populations via a relay oscillator.
  • Examined dynamics for both Type I Mirollo-Strogatz and Type II Hodgkin-Huxley neurons.
  • Investigated various synaptic coupling types and the impact of Spike-Timing Dependent Plasticity (STDP).

Main Results:

  • Confirmed that zero-lag synchrony is achievable in the studied model configuration.
  • Found zero-lag synchrony is more readily achieved with Hodgkin-Huxley neurons due to their biphasic phase response curve compared to Type I neurons.
  • Demonstrated that STDP significantly facilitates zero-lag synchrony by optimizing synaptic strengths across a wider parameter range.

Conclusions:

  • Zero-lag synchrony in neuronal networks is feasible under specific conditions, particularly with certain neuron types and plasticity mechanisms.
  • STDP plays a crucial role in promoting and stabilizing zero-lag synchrony, suggesting its importance in neural computation and network dynamics.