Cortical oscillations and sensory predictions
Open accessAbstract
Many theories of perception are anchored in the central notion that the brain continuously updates an internal model of the world to infer the probable causes of sensory events. In this framework, the brain needs not only to predict the causes of sensory input, but also when they are most likely to happen. In this article, we review the neurophysiological bases of sensory predictions of "what' (predictive coding) and 'when' (predictive timing), with an emphasis on low-level oscillatory mechanisms. We argue that neural rhythms offer distinct and adapted computational solutions to predicting 'what' is going to happen in the sensory environment and 'when'.
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Oscillatory signals have been related to predictive coding, with feedback signaling of predictions mediated predominantly by alpha/beta frequency bands and feedforward prediction error signaling by gamma-band activity.
“In the time-frequency domain, oscillatory signals have been related to predictive coding, with feedback signaling of predictions being mediated predominantly by the alpha/beta frequency bands and feedforward PE signaling by gamma-band activity (14, 35–37).”
From The Predictive Coding Account of Psychosis (2018) · cites this paper as [35]
Box 3 describes feedforward prediction errors on a gamma-frequency channel and backward predictions on a beta-frequency channel. It does not identify alpha as a channel for feedback predictions, and it calls the proposed frequency-channel scheme hypothetical rather than established. No page number is available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredVisuomotor integration, visual/auditory speech perception, and visual perception all benefit when sensory inputs are predictable.
“Visuomotor integration, visual/auditory speech perception, and visual perception all benefit when sensory inputs are predictable (1–3).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [1]
In “Predictive timing and delta-theta oscillations” (page unavailable), the paper says temporal predictions facilitate stimulus detection and that predictive visual cues facilitate auditory speech processing. It also discusses predictive timing of visual events, but the passages do not establish a benefit for visuomotor integration specifically. (LLM, conf=0.84)
Experimental — accuracy not yet measuredOscillatory dynamics play a role in regulating cortical processing, especially the gamma (40 to 90 Hz) and alpha/beta (10 to 30 Hz) bands.
“But there is mounting evidence that oscillatory dynamics play a role in regulating cortical processing and thus can also play a role, especially the gamma (40 to 90 Hz) and alpha/beta (10 to 30 Hz) bands (1, 18–25).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [1]
The sections on predictive coding and gamma oscillations and on predictive timing and alpha/beta oscillations support a role for these rhythms in cortical sensory processing. The frequency ranges do not match those attributed to the source: our copy defines gamma as >30 Hz and alpha as 8–12 Hz, rather than gamma as 40–90 Hz and the combined alpha/beta bands as 10–30 Hz. No page numbers are available in our copy. (LLM, conf=0.83)
Experimental — accuracy not yet measuredRhythm-based models suggest that deep-layer cortex (layers 5 and 6) feedback predictions using alpha/beta.
“Deep-layer cortex (layers 5 and 6) feedback predictions using alpha/beta (1, 19).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [1]
Box 3 (page unavailable) describes a hypothetical model in which predictions travel backward from deep cortical layers via beta oscillations, and identifies those layers as 5/6. It does not assign alpha oscillations to that deep-layer feedback pathway; its discussion of alpha concerns predictive timing instead. (LLM, conf=0.88)
Experimental — accuracy not yet measuredViolation of expectations is typically associated with increases in gamma power.
“Conversely, the violation of expectations is typically associated with increases in gamma power, while beta oscillations are initially reduced before resynchronizing.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [172]
Beta oscillations are initially reduced before resynchronizing upon violation of expectations.
“Conversely, the violation of expectations is typically associated with increases in gamma power, while beta oscillations are initially reduced before resynchronizing.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [172]
PP associates the oscillatory segregation between forward and backward processing with the distinct subpopulations housing error and expectation units, suggesting that oscillatory signatures of error and prediction message passing should be dissociable.
“PP associates this oscillatory segregation between forward and backward processing 171 with the distinct subpopulations housing error and expectation units, suggesting that oscillatory signatures of error and prediction message passing should be dissociable.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [172]
While gamma- and beta-band activity have been proposed to support PP mechanisms, other frequency channels may also contribute to this activity.
“Furthermore, while gamma‐ and beta‐band activity have been proposed to support PP mechanisms, other frequency channels may also contribute to this activity.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [172]
The assignment of forward and backward pathways to superficial and deep layers respectively is likely an oversimplification.
“Although the assignment of forward and backward pathways to superficial and deep layers respectively is likely an oversimplification, 172 , 183 there is evidence that where these streams lie in adjacent layers, or even within the same layers, they remain segregated.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [172]
Central pattern generators that underwrite rhythmical activity such as walking and talking may be described by this kind of conservative active inference.
“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].”
From The free energy principle made simpler but not too simple (2023) · cites this paper as [110]
Extrapolating from rhythm-based models of predictive coding, the authors propose a framework called predictive routing (PR).
“Extrapolating from the rhythm-based models of predictive coding (1, 19), this suggests a framework we call predictive routing (PR) (Fig. 6).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [1]
Rhythm-based models suggest that superficial cortical layers (layers 2 and 3) feedforward prediction errors using gamma.
““Rhythm-based” models suggest that superficial cortical layers (layers 2 and 3) feedforward prediction errors using gamma.”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [1]
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- Authors
- Arnal, L. H., & Giraud, A.-L.
- Affiliations
- Inserm (FR)
- Corresponding author
- Giraud, Anne-Lise
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 16
- Issue
- 7
- Pages
- 390-398
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2051850587
- Cited by
- 1,114
- References
- 103
- Citations by year
- 2026: 116 · 2025: 87 · 2024: 84 · 2023: 90 · 2022: 75 · 2021: 82 · 2020: 83 · 2019: 80 · 2018: 78 · 2017: 100 · 2016: 75 · 2015: 80 · 2014: 44 · 2013: 29 · 2012: 8
- FWCI
- 4.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Trends in Cognitive Sciences (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
- HAL (submittedVersion)
- HAL (submittedVersion, cc-by)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- cortical oscillations, sensory prediction, predictive coding, temporal prediction, neural oscillations, perception
- MeSH terms
- Attention, Bayes Theorem, Humans, Perception, Brain Waves, Anticipation, Psychological
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