Priors for Stochastic Sleep-Onset EEG Model, 5.5 KB

Priors adopted for real EEG data is a 5.5 KB dataset by Zhenxing Hu, last updated on April 30, 2026. It contains parameters for a minimally-parameterized stochastic dynamical model of the sleep-onset period. The model aims to reproduce sleep-onset phenomenology and correlate parameters with subjective sleepiness reports.

Use Cases

• Estimating parameters for a bistable sleep-wake transition model based on single-observation EEG data.
• Analyzing correlations between model-derived parameters and subjective sleepiness reports.
• Investigating intra- and inter-individual variability in sleep-onset dynamics using a computational framework.
• Reproducing a wide variety of sleep-onset period (SOP) phenomenology through stochastic modeling.

Strengths

• Dataset is small at 5.5 KB, enabling quick download and inspection.
• Model parameters are derived from a procedure for estimating from experimental sleep EEG data.
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's small size suggests it contains model priors, not raw or large-scale experimental data.

Provenance

Source

Zhenxing Hu via figshare

Collection Method

Parameters derived from a computational modeling procedure applied to a pre-existing sleep EEG dataset.

Freshness

Last updated 2026-04-30 17:58:39; freshness should be verified.