Spontaneous EEG oscillations reveal periodic sampling of visual attention
By Niko A. Busch, R. VanRullen. 2010
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Justin Riddle
- Mattia F. Pagnotta
- Ian C. Fiebelkorn
- Dillan Cellier
- Jason M. Scimeca
- F. Frohlich
- Sabine Kastner
- D. Melcher
In Experimental and Cognitive Psychology
- Justin Riddle
- Ian C. Fiebelkorn
- Sabine Kastner
- Mark D'Esposito
- Dillan Cellier
- D. Melcher
- E. Balestrieri
- Leila Azizi
Citations in the corpus
- Causal Evidence for a Role of Theta and Alpha Oscillations in the Control of Working Memory (2020, result): “These results are consistent with prior observations that theta and alpha oscillations are often anti-correlated [42, 43, 47], and that functional connectivity between brain regions displays increased alpha coherence with suppressed neural activity and increased theta coherence with active processin”
- Causal Evidence for the Role of Neuronal Oscillations in Top-Down and Bottom-Up Attention (2019, unknown): “Finally, theta frequency has been implicated in the rhythmic sampling of visual information (Fiebelkorn, Pinsk, & Kastner, 2018; Helfrich et al., 2018; Busch & VanRullen, 2010); however, these studies often rely on stimuli to be presented over a longer epoch on the order of seconds.”
- Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research (2024, background): “For example, Busch and VanRullen (2010) demonstrated that visual detection performance for attended stimuli in human adults fluctuated over time.”
- Spontaneous α Brain Dynamics Track the Episodic “When” (2023, background): “Last, timing tasks typically address short time-scales that are below a few seconds with a repeated number of trials time-locked to stimulations (Busch and VanRullen, 2010; Hanslmayr et al., 2011; Chakravarthi and VanRullen, 2012; Jensen et al., 2012; Landau and Fries, 2012; Grabot et al., 2017,…”
- The temporal dynamics of how the brain structures natural scenes. (2023, unknown): “…(Cavanagh, Frank, Klein, & Allen, 2010, 2012; Cavanagh & Frank, 2014), which is also important during attentional sampling of the environment ( Busch & VanRullen, 2010; Fiebelkorn et al., 2013; Kienitz et al., 2018; Landau & Fries, 2012; Spyropoulos, Bosman, & Fries, 2018; VanRullen & Dubois,…”
- Shared resources between visual attention and visual working memory are allocated through rhythmic sampling (2019, background): “…2007) suggested that when attention is split among potential task-relevant locations, a sequential strategy of sampling is used and, moreover, this sampling of information might be a rhythmic phenomenon with a periodicity of ∼7 Hz (VanRullen et al. 2007; Busch & VanRullen, 2010; VanRullen 2016).”
- Functional Specialization in the Attention Network (2019, background): “Recent work, however, has shown that spatial attention is discontinuous, sampling the visual environment in rhythmic cycles (Busch & VanRullen 2010, Fiebelkorn et al. 2018, Helfrich et al. 2018,Jia et al. 2017, Landau et al. 2015).”