ArticlePLoS computational biology2014
Phase-coherence transitions and communication in the gamma range between delay-coupled neuronal populations.
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 23 papers.
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Who cites it
23 citing papers in PubMed.
- Synchronization of complex spatio-temporal dynamics with lasers.Light, science & applications · 2026Article
- Maintenance of delay-period activity in working memory task is modulated by local network structure.PLoS computational biology · 2024Article
- Emergence of complex oscillatory dynamics in the neuronal networks with long activity time of inhibitory synapses.iScience · 2024Article
- Dynamics of parkinsonian oscillations mediated by transmission delays in a mean-field model of the basal ganglia.Frontiers in cellular neuroscience · 2024Article
- Delay-dependent transitions of phase synchronization and coupling symmetry between neurons shaped by spike-timing-dependent plasticity.Cognitive neurodynamics · 2023Article
- Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity.PLoS computational biology · 2023Article
- Phase-locking patterns underlying effective communication in exact firing rate models of neural networks.PLoS computational biology · 2022Article
- From nociception to pain perception, possible implications of astrocytes.Frontiers in cellular neuroscience · 2022Article
- Sex differences in neuronal systems function and behaviour: beyond a single diagnosis in autism spectrum disorders.Translational psychiatry · 2021Review
- Transmission delays and frequency detuning can regulate information flow between brain regions.PLoS computational biology · 2021Article
- Information Transmission in Delay-Coupled Neuronal Circuits in the Presence of a Relay Population.Frontiers in systems neuroscience · 2021Article
- The Antidepressant-Like and Analgesic Effects of Kratom Alkaloids are accompanied by Changes in Low Frequency Oscillations but not ΔFosB Accumulation.Frontiers in pharmacology · 2021Article
- Directed functional and structural connectivity in a large-scale model for the mouse cortex.Network neuroscience (Cambridge, Mass.) · 2021Article
- Synchronization of Independent Neural Ensembles in Human EEG during Choice Tasks.Behavioral sciences (Basel, Switzerland) · 2019Article
- Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits.PLoS computational biology · 2019Article
- Exploring the Phase-Locking Mechanisms Yielding Delayed and Anticipated Synchronization in Neuronal Circuits.Frontiers in systems neuroscience · 2019Article
- Phase Difference between Model Cortical Areas Determines Level of Information Transfer.Frontiers in computational neuroscience · 2017Article
- Stimulus-dependent synchronization in delayed-coupled neuronal networks.Scientific reports · 2016Article
- Transition between Functional Regimes in an Integrate-And-Fire Network Model of the Thalamus.PloS one · 2016Article
- Quantifying Neural Oscillatory Synchronization: A Comparison between Spectral Coherence and Phase-Locking Value Approaches.PloS one · 2016Article
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3 authors.
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Abstract
Synchronization between neuronal populations plays an important role in information transmission between brain areas. In particular, collective oscillations emerging from the synchronized activity of thousands of neurons can increase the functional connectivity between neural assemblies by coherently coordinating their phases. This synchrony of neuronal activity can take place within a cortical patch or between different cortical regions. While short-range interactions between neurons involve just a few milliseconds, communication through long-range projections between different regions could take up to tens of milliseconds. How these heterogeneous transmission delays affect communication between neuronal populations is not well known. To address this question, we have studied the dynamics of two bidirectionally delayed-coupled neuronal populations using conductance-based spiking models, examining how different synaptic delays give rise to in-phase/anti-phase transitions at particular frequencies within the gamma range, and how this behavior is related to the phase coherence between the two populations at different frequencies. We have used spectral analysis and information theory to quantify the information exchanged between the two networks. For different transmission delays between the two coupled populations, we analyze how the local field potential and multi-unit activity calculated from one population convey information in response to a set of external inputs applied to the other population. The results confirm that zero-lag synchronization maximizes information transmission, although out-of-phase synchronization allows for efficient communication provided the coupling delay, the phase lag between the populations, and the frequency of the oscillations are properly matched.
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