An open, reproducible standard for placing systems on a measured scale of neural complexity
An open standard for making neural-complexity measurements reproducible. It fixes one computation, publishes it in full, and records every value in a public register with its parameters, interval, and data source, so any result can be recomputed from the same data. This Phase 0 report covers the founding gate: an automated pipeline reproduces a published resting-state complexity measurement from open data — resting Lempel-Ziv complexity is higher awake than under sedation in twelve of twelve held-out subjects under a lean cleaning (one-sided sign test, p ~ 0.00024) and in eleven of twelve under the authors' full cleaning stack (p ~ 0.003), with group values (awake 0.290, sedation 0.269) in the published range. The perturbational measure (PCIst) does not automate on this dataset's hand-cleaned magnetic-pulse recordings, though it does on direct-stimulation recordings. The same measure applied to a brain organoid's spontaneous activity from open data yields a reading (0.355) on the organoid's own scale, never compared with the human values. A reading places a system on a scale; it does not state whether anything is, or is not, conscious.
Authors
- Bryan Rush
Institutions
- Mind Matters Research (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-28
- DOI
- https://doi.org/10.5281/zenodo.23020289
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- preprint