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Topic: alpha-band activity

ePoster
1 ePoster

In Bayesian Statistics and Biology

ePoster · Computational Neuroscience

Super-Oscillators: Simulation-based inference for estimating alpha rhythm model parameters for high SNR recordings

Natalie Schaworonkow, Richard Gao · Bernstein Conference 2024

In the awake human brain, alpha-band activity (8–13 Hz) is the most prominent electrophysiological signature. Several models exist for alpha-rhythm generation using neural mass models, including the Jansen-Rit, Moran-David-Friston, Robinson-Rennie-Wright, and Liley-Wright models [1]. Fitting these models traditionally relies on manual parameter tuning or computationally expensive parameter searches, and they rarely account for inter-individual variation. However, there is substantial experimental variability in the propensity for robust oscillatory activity in EEG, e.g., influenced by structur