ArticleFrontiers in computational neuroscience2012
When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks.
Article in Frontiers in computational neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed.
- Shared spatial and temporal principles govern connectome dynamics across timescales.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- EEG connectivity and BDNF correlates of fast motor learning in laparoscopic surgery.Scientific reports · 2025Article
- The quantum-classical complexity of consciousness and orchestrated objective reduction.Frontiers in human neuroscience · 2025Article
- Cortical Synchrony and Information Flow during Transition from Wakefulness to Light Non-Rapid Eye Movement Sleep.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Neural synchrony in cortical networks: mechanisms and implications for neural information processing and coding.Frontiers in integrative neuroscience · 2022Article
- Oscillation-Based Connectivity Architecture Is Dominated by an Intrinsic Spatial Organization, Not Cognitive State or Frequency.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Information Transmission in Delay-Coupled Neuronal Circuits in the Presence of a Relay Population.Frontiers in systems neuroscience · 2021Article
- Intrinsic connectome organization across temporal scales: New insights from cross-modal approaches.Network neuroscience (Cambridge, Mass.) · 2020Review
- Neural oscillations and connectivity characterizing the state of tonic experimental pain in humans.Human brain mapping · 2020Article
- Visual Attention Deficits in Schizophrenia Can Arise From Inhibitory Dysfunction in Thalamus or Cortex.Computational psychiatry (Cambridge, Mass.) · 2018Article
- Propagation of beta/gamma rhythms in the cortico-basal ganglia circuits of the parkinsonian rat.Journal of neurophysiology · 2018Article
- Hub-driven remote synchronization in brain networks.Scientific reports · 2017Article
- Ketamine induced converged synchronous gamma oscillations in the cortico-basal ganglia network of nonhuman primates.Journal of neurophysiology · 2017Article
- A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords.Frontiers in computational neuroscience · 2016Article
- Self-Organized Near-Zero-Lag Synchronization Induced by Spike-Timing Dependent Plasticity in Cortical Populations.PloS one · 2015Article
- Phase-coherence transitions and communication in the gamma range between delay-coupled neuronal populations.PLoS computational biology · 2014Article
- Synchronization of delayed coupled neurons in presence of inhomogeneity.Journal of computational neuroscience · 2014Article
- Article
- Attractor dynamics in local neuronal networks.Frontiers in neural circuits · 2014Article
- Cerebral energy metabolism and the brain's functional network architecture: an integrative review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2013Review
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4 authors.
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Abstract
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.
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