AVAtthaphon Viriyopase

Atthaphon Viriyopase

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Atthaphon Viriyopase has a total of 3 co-authors. Here are the top co-authors by number of shared publications:

  • Ingo Bojak

    University of Reading

    1 shared publication
  • Magteld Zeitler

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

    1 shared publication
  • Stan Gielen

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

    1 shared publication

Latest Publications

  • Open Access

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

    by Atthaphon Viriyopase, Ingo Bojak, Magteld Zeitler, Stan Gielen

    Many studies have reported long-range synchronization of neuronal activity between brain areas, in particular in the gamma-band with frequencies in the range of 40-80 Hz. Several studies have reported synchrony with zero phase lag, which is remarkable considering the synaptic and conduction delays inherent in the connections between distant brain areas. This result has led to many speculations about the possible functional role of zero-lag synchrony, e.g., for neuronal communication in attention, memory and feature binding. However, recent studies using recordings of single-unit activity and local field potentials report that neuronal synchronization occurs with non-zero phase lags. This raises the questions whether zero-lag synchrony can occur in the brain and, if so, under which conditions. We used analytical methods and computer simulations to investigate which connectivity between neuronal populations allows or prohibits zero-lag synchrony. We did so for a model where two oscillators interact via a relay oscillator. Analytical results and computer simulations were obtained for both type I Mirollo-Strogatz neurons and type II Hodgkin-Huxley neurons. We have investigated the dynamics of the model for various types of synaptic coupling and importantly considered the potential impact of Spike-Timing Dependent Plasticity (STDP) and its learning window. We confirm previous results that zero-lag synchrony can be achieved in this configuration. This is much easier to achieve with Hodgkin-Huxley neurons, which have a biphasic phase response curve, than for type I neurons. STDP facilitates zero-lag synchrony as it adjusts the synaptic strengths such that zero-lag synchrony is feasible for a much larger range of parameters than without STDP.