Perceptual Cycles.

By R. VanRullen. Trends in Cognitive Sciences, 2016

625 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Plant Science

View Paper: https://www.semanticscholar.org/paper/c2a214a270367d90b256b6dcfb317d407a8f02fd

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Citations in the corpus

Working Memory 2.0 (2018, positive): “It is the platformwherewe hold andmanipulate thoughts and is foundational to the organization of goal-directed behavior (Chatham and Badre, 2015; Engle et al., 1999; Fuster, 1999; GoldmanRakic, 1995; Just and Carpenter, 1992; Miller and Cohen, 2001; Vogel and Machizawa, 2004).”
Theory of cortical function (2017, background): “, that perception and perceptual performance fluctuate periodically and depend on the frequency and phase of oscillatory activity (89).”
Discovering event structure in continuous narrative perception and memory (2016, neutral): “hearing a single word) (VanRullen, 2016) are progressively integrated into the 36 minutes-long events typically reported by human observers.”
Switching between internal and external modes: A multiscale learning principle (2017, background): “Perceptual thresholds increase and decrease over milliseconds, seconds, and minutes (Palva & Palva, 2011; VanRullen, 2016); the associative strength of hippocampal encoding ﬂuctuates over milliseconds (Hasselmo, 2006; Hasselmo, Bodelón, & Wyble, 2002) and seconds (Douchamps, Jeewajee, Blundell,…”
Stimulus-evoked and resting-state alpha oscillations show a linked dependence on patterned visual experience for development (2023, methodology): “Alpha oscillations were interpreted as the “natural frequency” at which an internal oscillator can be particularly entrained by stimulation, resulting in an enhanced response (Notbohm et al., 2016; VanRullen, 2016).”
Rhythms of human attention and memory: An embedded process perspective (2022, background): “…(Lisman and Jensen, 2013), WM (Lisman, 2010; Roux and Uhlhaas, 2014), and LTM processes (Hanslmayr et al., 2016), as well as the role of the theta and alpha rhythm in attentional sampling (VanRullen, 2016; Fiebelkorn and Kastner, 2019) and gating (Jensen and Mazaheri, 2010; Klimesch, 2012).”
Oscillatory entrainment to our early social or physical environment and the emergence of volitional control (2022, background): “For example, the ability to detect stimuli that are at the threshold of an individual ’ s sensory sensitivity fluctuates at approximately 8 Hz (Busch et al., 2009; Landau et al., 2015; Landau and Fries, 2012; VanRullen, 2016).”
Rhythmicity Revisited: Evidence from Robust Behavioral Oscillations (2025, unknown): “One influential proposal is that the brain accomplishes this by using neural oscillations, which function as an internal clock to segregate competing representations into separate temporal windows, thereby gating information flow and reducing cross-talk 1–4 .”
Hierarchical consciousness: the Nested Observer Windows model (2024, background): “Observer windows likely transmit information with a rhythmic signature and yet the experience from within is continuous (see VanRullen 2016 for a discussion).”
Top-down and bottom-up interactions rely on nested brain oscillations to shape rhythmic visual attention sampling (2025, unknown): “Accordingly, it has been proposed that these fluctuations reflect the cyclic changes in brain excitability indicating the rapid waxing and waning of visual and/or attentional sampling, predicting perceptual outcomes [51,53,56].”
On Natural Attunement: Shared Rhythms Between the Brain and the Environment. (2023, background): “While the pulvinar has for long been described as the generator of the alpha oscillation in the brain (Lopes da Silva et al., 1974), there is now emerging evidence (e.g.: Halgren et al., 2019) that demonstrates how the pulvinar can generate alpha oscillation that in turn can carry descending predict”
Slow neural oscillations explain temporal fluctuations in distractibility (2023, background): “The prediction is based on the notion that rhythmic attention arises from the periodic excitability of the attention-related brain network (Fiebelkorn & Kastner, 2019; VanRullen, 2016).”
Attention rhythmically samples multi-feature objects in working memory (2022, methodology): “We would like to note that in the remainder of the manuscript we will only discuss the findings that resulted from the analysis approach proposed by Brookshire35 using minimal preprocessing and the AR(1) technique.”
Parietal Alpha Oscillatory Peak Frequency Mediates the Effect of Practice on Visuospatial Working Memory Performance (2022, background): “This measure, in turn, determines the degree of resolution of each individual’s perceptual sampling rate [62,106] and might very well be regarded as a variable affecting WM performance [42,107–110], namely, the higher the frequency of the individual alpha peak is, the more the IES decreases.”