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Frontiers in computational neuroscience. 2012 Jul 27:6:49. doi: 10.3389/fncom.2012.00049 Q22.12024

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

皮质网络中长程无滞后同步的可行性研究 翻译改进

Atthaphon Viriyopase  1, Ingo Bojak, Magteld Zeitler, Stan Gielen

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  • 1 Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen (Medical Centre) Nijmegen, Netherlands.
  • DOI: 10.3389/fncom.2012.00049 PMID: 22866034

    摘要 Ai翻译

    Many studies have reported long-range synchronization of neuronal activity between brain areas, in particular in the beta and gamma bands with frequencies in the range of 14-30 and 40-80 Hz, respectively. 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, such as for neuronal communication, attention, memory, and feature binding. However, recent studies using recordings of single-unit activity and local field potentials report that neuronal synchronization may occur 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.

    Keywords: long-range synchronization; spike-timing dependent plasticity; zero-lag synchronization.

    Keywords:cortical networks

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    期刊名:Frontiers in computational neuroscience

    缩写:FRONT COMPUT NEUROSC

    ISSN:1662-5188

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    IF/分区:2.1/Q2

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