Super excited to share the very first preprint from my PhD: Pre-stimulus alpha oscillations encode stimulus-specific visual predictions. [1/8] #neuroskyence #PsychSciSky #compneurosky https://biorxiv.org/cgi/content/short/2024.03.13.584593v1
Comments
Log in with your Bluesky account to leave a comment
Together, our findings demonstrate for the first time that sensory templates of predicted shapes are represented in the pre-stimulus alpha rhythm, which subsequently modulate performance on a perceptual discrimination task. [7/8]
We also found that this shape-specific alpha power modulated task performance, such that higher alpha power resulted in stronger expectation effects on shape discrimination. [6/8]
Thank you for sharing the paper!😊I can see a connection between high alpha and low attention, relying more on predictions when attention is low. I think in this view alpha is just ongoing rhythms, but we showed content-specificity in the pre-stimulus alpha so alpha seems to be an active contributor.
Predicted shape representations in the pre-stimulus window fluctuated in the alpha band (10–11Hz) and significantly deviated from a power spectrum of an empirical null distribution also from a power spectrum obtained via training a decoder on shapes that weren’t presented in the main task.[5/8]
Participants performed a shape discrimination task, while auditory cues predicted the most likely upcoming shape (shape A and D) on 75% of the trials. [4/8]
There is a lot of evidence that the brain deploys predictions to guide perception, and neural oscillations seem to be an ideal candidate to convey these prediction signals. Therefore, we thought it would be very cool to test whether sensory predictions have an oscillatory nature. 〰 [3/8]
Comments