Low-frequency neuronal oscillations as instruments of sensory selection
By Charles E. Schroeder, Peter Lakatos. Trends in Neurosciences, 2008
1,515 citations recorded by the source corpus.
Neuroelectric oscillations reflect rhythmic shifting of neuronal ensembles between high and low excitability states. In natural settings, important stimuli often occur in rhythmic streams, and when oscillations entrain to an input rhythm their high excitability phases coincide with events in the stream, effectively amplifying neuronal input responses. When operating in a ‘rhythmic mode’, attention can use these differential excitability states as a mechanism of selection by simply enforcing oscillatory entrainment to a task-relevant input stream. When there is no low-frequency rhythm that oscillations can entrain to, attention operates in a ‘continuous mode’, characterized by extended increase in gamma synchrony. We review the evidence for early sensory selection by oscillatory phase-amplitude modulations, its mechanisms and its perceptual and behavioral consequences.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/4678e7de0f9e4e62dbf67f053d3b23afeb8df1a3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Xiao-Jing Wang
- György Buzsáki
- Pascal Fries
- Ole Jensen
- Nikos K. Logothetis
- Marcus E. Raichle
- Wolf Singer
- Martin A. Vinck
In Cognitive Neuroscience
- Xiao-Jing Wang
- György Buzsáki
- Pascal Fries
- Ole Jensen
- Marcus E. Raichle
- Justin Riddle
- Nikos K. Logothetis
- Martin A. Vinck
Citations in the corpus
- Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms (2013, positive): “…hierarchical and universal, so that the phase of the slower oscillation modulates the power of the faster ones (Figure 1B; Bragin et al., 1995; Chrobak and Buzsá ki, 1998; Leopold et al., 2003; Schroeder and Lakatos , 2009; Canolty et al., 2006; Buzsá ki and Wang, 2012; Fell and Axmacher, 2011).”
- Multisensory Causal Inference in the Brain (2015, background): “The data support both the traditional notion that multisensory perception is mostly implemented by higher-level association regions and the more recent notion that early sensory regions also participate in multisensory encoding [21,22].”
- Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. (2015, neutral): “PAC has been reported at many distinct frequency ranges and using various recording and computation techniques [5,34,35].”
- Sound-Induced Enhancement of Low-Intensity Vision: Multisensory Influences on Human Sensory-Specific Cortices and Thalamic Bodies Relate to Perceptual Enhancement of Visual Detection Sensitivity (2010, background): “phase resetting would seem to require visual signals to precede auditory signals sufficiently to overcome the different transduction times (Musacchia et al., 2006; Schroeder et al., 2008; Schroeder and Lakatos, 2009).”
- Measuring phase-amplitude coupling between neuronal oscillations of different frequencies. (2010, positive): “In particular, phase-amplitude coupling has been suggested to be involved in sensory signal detection (Handel and Haarmeier, 2009), attentional selection (Schroeder and Lakatos, 2009), and memory processes (Tort et al.”
- Dynamics of Active Sensing and Perceptual Selection (2010, background): “Neuroelectric oscillations Neuroelectric oscillations, ubiquitous in the brain of an awake subject at rest [39], reflect a synchronization of cyclical fluctuations in neuronal excitability across populations of neurons, that may be critical to normal sensory processing (reviewed by [40]).”
- Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a ‘Cocktail Party’ (2013, background): “Our results provide an empirical basis for the idea that selective attention in a Cocktail Party setting relies on an interplay between bottom-up sensory responses and predictive, topdown control over the timing of neuronal excitability (Schroeder and Lakatos, 2009b).”
- Electrocortical activity is coupled to gait cycle phase during treadmill walking (2011, positive): “…oscillations to task dynamics and temporal alignment of high-frequency oscillations to attended rhythmic events as a means of enhancing responses that are in-phase with attended events and suppressing responses that are out-of-phase with attended events (Schroeder and Lakatos, 2009).”
- The Phase of Ongoing EEG Oscillations Predicts Visual Perception (2009, background): “While an influence of phase on perception could be expected based on theoretical considerations (VanRullen and Koch, 2003; Schroeder and Lakatos, 2009), EEG experiments (Monto et al.”