Cortical oscillations and sensory predictions.
By Luc H. Arnal, Anne-Lise Giraud. Trends in Cognitive Sciences, 2012
1,021 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/0a68661bd26c27d679908265a3776b2dc095793a
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
- Peter Kok
- F. D. de Lange
- Karl J. Friston
- H. D. den Ouden
- David Poeppel
- Anne-Lise Giraud
- Oded Ghitza
- Luc H. Arnal
Citations in the corpus
- Acoustic landmarks drive delta-theta oscillations to enable speech comprehension by facilitating perceptual parsing (2013, background): “…between individual differences in envelope tracking and intelligibility in anterior channels: an observation that is compatible with a possible top-down amplification of slow oscillation entrainment in the auditory cortices (cf. Arnal and Giraud, 2012; Besle et al., 2011; Schroeder et al., 2010).”
- Finding the beat: a neural perspective across humans and non-human primates (2015, background): “Several researchers have recently suggested that temporal prediction is actually accomplished in the motor system, perhaps through some sort of movement simulation [69,80–83], and that this information feeds back to sensory areas (corollary discharges or efference copies) to enhance processing of in”
- Precise minds in uncertain worlds: predictive coding in autism. (2014, background): “While the predictive coding account has originally been conceptualized in the visual domain, a growing number of studies has also investigated predictive coding phenomena in the auditory modality (Arnal & Giraud, 2012; Winkler, Denham, & Nelken, 2009).”
- What do we mean by prediction in language comprehension? (2015, background): “…may be better suited for capturing top-down predictive neural activity, prior to the onset of an incoming stimulus (for general discussion, see Arnal & Giraud, 2012; Engel & Fries, 2010; Weiss & Mueller, 2012, and for recent discussion in relation to language comprehension, see Lewis &…”
- LFP and oscillations—what do they tell us? (2015, background): “Similar spectral asymmetries in forward and backward message passing have also been found in the auditory system [9 ].”
- Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. (2015, positive): “Slow oscillations (2 – 12 Hz) constitute the perfect tool for carrying such temporal predictions associated with rhythmic modulations [87].”
- The theory of constructed emotion: an active inference account of interoception and categorization (2017, neutral): “There is accumulating evidence that prediction and prediction error signals oscillate at different frequencies within the brain (e.g. Arnal and Giraud, 2012; Bressler and Richter, 2015; Brodski et al., 2015).”
- How Prediction Errors Shape Perception, Attention, and Motivation (2012, background): “These results are suggestive of predictive hierarchical message-passing across modalities: the increased gamma-activity reflects increased ascending information from the unimodal sensory regions (Arnal and Giraud, 2012) which send a PE to the superior temporal sulcus.”
- The COGs (context, object, and goals) in multisensory processing (2016, background): “These advances, however, are only starting to impact our understanding of multisensory processing (e.g. Schroeder et al. 2010; Arnal and Giraud 2012; Fetsch et al. 2013; Talsma 2015).”
- The free energy principle made simpler but not too simple (2022, neutral): “Biologically, this may be a description of central pattern generators [110,117] that underwrite rhythmical activity (e.g., walking and talking) that is characteristic of biological systems [118].”
- Speech and music recruit frequency-specific distributed and overlapping cortical networks (2024, unknown): “Abbreviations according to the Brainnetome Atlas (Fan et al., 2016).”
- Hierarchical consciousness: the Nested Observer Windows model (2024, unknown): “In predictive coding, activity corresponds to deviations from prediction (Friston 2010, Arnal and Giraud 2012, Seth et al. 2012).”