Oscillatory Bursting as a Mechanism for Temporal Coupling and Information Coding.
bursts
methods
oscillations
single trial
timing
transients
Journal
Frontiers in computational neuroscience
ISSN: 1662-5188
Titre abrégé: Front Comput Neurosci
Pays: Switzerland
ID NLM: 101477956
Informations de publication
Date de publication:
2020
2020
Historique:
received:
03
06
2020
accepted:
31
07
2020
entrez:
19
10
2020
pubmed:
20
10
2020
medline:
20
10
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33071765
doi: 10.3389/fncom.2020.00082
pmc: PMC7533591
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
82Subventions
Organisme : NIMH NIH HHS
ID : P50 MH109429
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01 DC012947
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH111439
Pays : United States
Informations de copyright
Copyright © 2020 Tal, Neymotin, Bickel, Lakatos and Schroeder.
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