Neuronal Oscillations in Cortical Networks

By György Buzsáki, A. Draguhn. Science, 2004

6,404 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Plant Science

View Paper: https://www.semanticscholar.org/paper/f42ed1ca8051f73253ba709fa83b7dda69685278

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

In Plant Science

Citations in the corpus

Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks (2007, background): “jpg" NDATA ITEM> ]> Oscillatory activity is a hallmark of neuronal network function in various brain regions, including the olfactory bulb, thalamus, hippocampus and neocorte”
Synaptic Properties of SOM- and CCK-Expressing Cells in Dentate Gyrus Interneuron Networks (2014, background): “These characteristics critically contribute to the synchronization of principal cell assemblies and the generation of fast network oscillations (Cobb et al., 1995; Csicsvari et al., 2003; Buzsáki and Draguhn, 2004; Tukker et al., 2007; Doischer et al., 2008; Klausberger and Somogyi, 2008).”
Frontiers in Integrative Neuroscience Integrative Neuroscience Neural Synchrony in Cortical Networks: History, Concept and Current Status (neutral): “Its importance for generating oscillatory and synchronous activity was highlighted in experimental studies that demonstrated that fast oscillations can be observed even if chemical synaptic transmission is blocked (Buzsaki and Draguhn, 2004).”
Theta rhythm of navigation: Link between path integration and landmark navigation, episodic and semantic memory (2005, background): “In case of CA1 pyramidal neurons, this assembly is anchored to the trough of CA1 pyramidal layer theta, which serves as an attractor for CA1 unit firing (Harris et al., 2002, 2003; Mehta et al., 2002; Buzsaki and Draguhn, 2004).”
Oscillatory synchronization in large-scale cortical networks predicts perception. (2011, neutral): “observed brain oscillations typically follow a linear progression on a logarithmic scale (Buzsaki and Draguhn, 2004).”
Beta-band oscillations--signalling the status quo? (2010, neutral): “Thereby, they can temporally coordinate the information transfer across brain regions and support spike-timing dependent plasticity [3–6].”
Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, background): “The organization of a network is directly related to its efficiency, as the topology defines its level of robustness, capability to integrate information and communication capacity (Achard and Bullmore, 2007; Bullmore and Sporns, 2009; Buzsaki and Draguhn, 2004; Chen et al., 2006; Grigorov, 2005; La”
An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias (2011, neutral): “3.0 Introduction Oscillatory neuronal activity has been implied in numerous functions (Fries, 2009; Buzsáki & Draguhn, 2004; Gray et al., 1989; Pesaran et al., 2002; Salinas & Sejnowski, 2001), such as attention, spatial navigation, perceptual binding and memory.”
Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms (2013, neutral): “Notably, the mean frequencies of neuronal oscillators form a linear progression on a natural logarithmic scale (Buzsá ki and Draguhn, 2004).”
DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI (2010, background): “…frequency bands are considered to be generated by distinct oscillators, each with speciﬁ c properties and physiological functions, as the neuronal oscillation classes are arrayed linearly when plotted on the natural logarithmic scale (Penttonen and Buzsáki, 2003; Buzsáki and Draguhn, 2004).”