ArticlePLoS computational biology2014
Mechanisms of zero-lag synchronization in cortical motifs.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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68 citing papers in PubMed.
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- Cortical development in the structural model and free energy minimization.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Stimulus type shapes the topology of cellular functional networks in mouse visual cortex.Nature communications · 2024Article
- Neuromodulation of inhibitory control using phase-lagged transcranial alternating current stimulation.Journal of neuroengineering and rehabilitation · 2024Article
- Synchronization of delayed coupled neurons with multiple synaptic connections.Cognitive neurodynamics · 2024Article
- Measuring excitation-inhibition balance through spectral components of local field potentials.bioRxiv : the preprint server for biology · 2024Article
- Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs.Brain sciences · 2023Article
- Neural waves and short-term memory in a neural net model.Journal of biological physics · 2023Article
- Bidirectionally connected cores in a mouse connectome: towards extracting the brain subnetworks essential for consciousness.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Differential Patterns of Change in Brain Connectivity Resulting from Severe Traumatic Brain Injury.Brain connectivity · 2022Article
- Cortico-subcortical interactions in overlapping communities of edge functional connectivity.NeuroImage · 2022Article
- Edges in brain networks: Contributions to models of structure and function.Network neuroscience (Cambridge, Mass.) · 2022Review
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4 authors.
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Abstract
Zero-lag synchronization between distant cortical areas has been observed in a diversity of experimental data sets and between many different regions of the brain. Several computational mechanisms have been proposed to account for such isochronous synchronization in the presence of long conduction delays: Of these, the phenomenon of "dynamical relaying"--a mechanism that relies on a specific network motif--has proven to be the most robust with respect to parameter mismatch and system noise. Surprisingly, despite a contrary belief in the community, the common driving motif is an unreliable means of establishing zero-lag synchrony. Although dynamical relaying has been validated in empirical and computational studies, the deeper dynamical mechanisms and comparison to dynamics on other motifs is lacking. By systematically comparing synchronization on a variety of small motifs, we establish that the presence of a single reciprocally connected pair--a "resonance pair"--plays a crucial role in disambiguating those motifs that foster zero-lag synchrony in the presence of conduction delays (such as dynamical relaying) from those that do not (such as the common driving triad). Remarkably, minor structural changes to the common driving motif that incorporate a reciprocal pair recover robust zero-lag synchrony. The findings are observed in computational models of spiking neurons, populations of spiking neurons and neural mass models, and arise whether the oscillatory systems are periodic, chaotic, noise-free or driven by stochastic inputs. The influence of the resonance pair is also robust to parameter mismatch and asymmetrical time delays amongst the elements of the motif. We call this manner of facilitating zero-lag synchrony resonance-induced synchronization, outline the conditions for its occurrence, and propose that it may be a general mechanism to promote zero-lag synchrony in the brain.
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