ReviewFrontiers in computational neuroscience2020
Oscillatory Bursting as a Mechanism for Temporal Coupling and Information Coding.
Review in Frontiers in computational neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Article
- Temporal codes and recurrent timing nets for rhythmic expectancy.Frontiers in computational neuroscience · 2026Article
- Episodic memory involves transient and sparse connectivity aligned to both internal and external events.PLoS biology · 2025Article
- Wake EEG oscillation dynamics reflect both sleep pressure and brain maturation across childhood and adolescence.bioRxiv : the preprint server for biology · 2025Article
- The gamma rhythm as a guardian of brain health.eLife · 2024Review
- Electroencephalography Spectral-power Volatility Predicts Problem-solving Outcomes.Journal of cognitive neuroscience · 2024Article
- Brain-heart interaction disruption in major depressive disorder: disturbed rhythm modulation of the cardiac cycle on brain transient theta bursts.European archives of psychiatry and clinical neuroscience · 2024Article
- Overcoming the translational crisis of contemporary psychiatry - converging phenomenological and spatiotemporal psychopathology.Molecular psychiatry · 2023Review
- Review
- Frequency-coded patterns of sympathetic vasomotor activity are differentially evoked by the paraventricular nucleus of the hypothalamus in the Goldblatt hypertension model.Frontiers in cellular neuroscience · 2023Article
- The Spatial Reach of Neuronal Coherence and Spike-Field Coupling across the Human Neocortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Reading and Modulating Cortical β Bursts from Motor Unit Spiking Activity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Detection and analysis of cortical beta bursts in developmental EEG data.Developmental cognitive neuroscience · 2022Article
- Time-Frequency Representations of Brain Oscillations: Which One Is Better?Frontiers in neuroinformatics · 2022Article
- Time-frequency super-resolution with superlets.Nature communications · 2021Article
- Article
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Authors and funding
5 authors.
Funding
Abstract
Even the simplest cognitive processes involve interactions between cortical regions. To study these processes, we usually rely on averaging across several repetitions of a task or across long segments of data to reach a statistically valid conclusion. Neuronal oscillations reflect synchronized excitability fluctuations in ensembles of neurons and can be observed in electrophysiological recordings in the presence or absence of an external stimulus. Oscillatory brain activity has been viewed as sustained increase in power at specific frequency bands. However, this perspective has been challenged in recent years by the notion that oscillations may occur as transient burst-like events that occur in individual trials and may only appear as sustained activity when multiple trials are averaged together. In this review, we examine the idea that oscillatory activity can manifest as a transient burst as well as a sustained increase in power. We discuss the technical challenges involved in the detection and characterization of transient events at the single trial level, the mechanisms that might generate them and the features that can be extracted from these events to study single-trial dynamics of neuronal ensemble activity.
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