https://www.cell.com/trends/neurosciences/pdf/S0166-2236(14)00060-5.pdf

Temporal coding organized by coupled alpha and gamma oscillations prioritize visual processing

The brain exhibits organised fluctuations of neural activity even in the absence of tasks or sensory input. A prominent type of such spontaneous activity is the alpha rhythm, which influences perception and interacts with other ongoing neural activity. It is currently hypothesised that states of decreased prestimulus alpha oscillations indicate enhanced neural excitability, resulting in improved perceptual acuity. Nevertheless, it remains debated how changes in excitability manifest at the behavioral level in perceptual tasks. We addressed this issue by comparing two alternative models describing the effect of spontaneous alpha power on signal detection. The first model assumes that decreased alpha power increases baseline excitability, amplifying the response to both signal and noise, predicting a liberal detection criterion with no effect on sensitivity. The second model predicts that decreased alpha power increases the trial-by-trial precision of the sensory response, resulting in improved sensitivity. We tested these models in two EEG experiments in humans where we analysed the effects of prestimulus alpha power on visual detection and discrimination using a signal detection framework. Both experiments provide strong evidence that decreased alpha power reflects a more liberal detection criterion, rather than improved sensitivity, consistent with the baseline model. In other words, when the task requires detecting stimulus presence vs. absence, reduced alpha oscillations make observers more likely to report the stimulus irrespective of actual stimulus presence. Contrary to previous interpretations, these results suggest that states of decreased alpha oscillations increase the global baseline excitability of sensory systems without affecting perceptual acuity.

Significance Statement: Spontaneous fluctuations of brain activity explain why a faint sensory stimulus is sometimes perceived and sometimes not. The prevailing view is that heightened neural excitability, indexed by decreased alpha oscillations, promotes better perceptual performance. Here, we provide evidence that heightened neural excitability instead reflects a state of biased perception, during which a person is more likely to see a stimulus, whether or not it is actually present. Therefore, we propose that changes in neural excitability leave the precision of sensory processing unaffected. These results establish the link between spontaneous brain activity and the variability in human perception.

https://www.jneurosci.org/content/jneuro/37/4/807.full.pdf

Spontaneous Neural Oscillations Bias Perception by Modulating Baseline Excitability.

Unraveling how brain regions communicate is crucial for understanding how the brain processes external and internal information. Neuronal oscillations within and across brain regions have been proposed to play a crucial role in this process. Two main hypotheses have been suggested for routing of information based on oscillations, namely communication through coherence and gating by inhibition. Here, we propose a framework unifying these two hypotheses that is based on recent empirical findings. We discuss a theory in which communication between two regions is established by phase synchronization of oscillations at lower frequencies ( 40 Hz). Our framework, consistent with numerous recent empirical findings, posits that cross-frequency interactions are essential for understanding how large-scale cognitive and perceptual networks operate.

/pdf/communication-between-brain-areas-based-on-nested-3vl7w6tl6i.pdf

Communication between Brain Areas Based on Nested Oscillations

Computational neuroimaging and population receptive fields

http://kendrickkay.net/papers/WinawerCurrentBiology2013.pdf

Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex

Frequency specific spatial interactions in human electrocorticography: V1 alpha oscillations reflect surround suppression

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Frequency specific spatial interactions in human electrocorticography: V1 alpha oscillations reflect surround suppression