About this Research Topic
Neuronal oscillations reflect synchronized excitability fluctuations in ensembles of neurons that can be observed in electrophysiological recordings in the presence or absence of an external stimulus. Neuronal oscillations have been proposed to underlie many critical brain operations including attentional selection of sensory input, parsing/chunking of complex input streams, generation of motor output, memory encoding and retrieval, ordering of information carried by spike trains through spike-phase coding and temporal coupling of distant ensembles to enhance information transfer. Key to their mechanistic role in these operations is the idea that neuronal oscillations in a particular frequency synchronize dynamically to couple a group of neurons into a cell assembly for a specific brain task, and then just as dynamically desynchronize so that neurons can regroup for the next brain task.
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.
Our goal is to examine the idea that oscillatory activity can manifest as a transient burst as well as a sustained increase in power. We tackle the technical challenges involved in the detection and characterization of transient oscillation events, the mechanisms that might generate them and the information that may be extracted from them to study single-trial dynamics of neuronal ensemble activity.
This Research Topic seeks contributions from researchers working in different disciplines, which will shed light on the importance of studying the role of oscillation events in ongoing recordings or at the single-trial level. The manuscripts may include, but not limited to mechanisms of oscillation events generation, methods for detection and characterization of oscillatory activity, findings relating oscillation events to behavior, computational models and clinical cases.
Topic Editor Idan Tal is affiliated with Synchron. All other Topic Editors declare no competing interests with regards to the Research Topic subjec
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.
Our goal is to examine the idea that oscillatory activity can manifest as a transient burst as well as a sustained increase in power. We tackle the technical challenges involved in the detection and characterization of transient oscillation events, the mechanisms that might generate them and the information that may be extracted from them to study single-trial dynamics of neuronal ensemble activity.
This Research Topic seeks contributions from researchers working in different disciplines, which will shed light on the importance of studying the role of oscillation events in ongoing recordings or at the single-trial level. The manuscripts may include, but not limited to mechanisms of oscillation events generation, methods for detection and characterization of oscillatory activity, findings relating oscillation events to behavior, computational models and clinical cases.
Topic Editor Idan Tal is affiliated with Synchron. All other Topic Editors declare no competing interests with regards to the Research Topic subjec
Keywords: Oscillations, transients, bursts, timing, single trial, methods, systems neuroscience
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
