Complexity Measures of Consciousness — Methodological Review
Samson Odan, Lucia Melloni, Andrej Bičanski, Jurgen Jost
OSF Preprints 2026 preprint DOI: 10.17605/osf.io/fu82j (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Systematic review |
|---|---|
| Key findings | Describes a methodological review that maps quantitative complexity measures applied to neural data in consciousness research across computational and conceptual dimensions, evaluates the fit between mathematical content and scientific claims, and identifies methodological gaps. The review follows PRISMA-ScR principles and emphasizes transparent, reproducible workflows. |
Abstract
Methodological review of quantitative complexity measures applied to neural data in consciousness research. The project maps measures across computational and conceptual dimensions, evaluates the relationship between mathematical content and scientific claims, and identifies methodological gaps in the literature. The review follows PRISMA-ScR principles and emphasises transparent, reproducible workflows.