MANDALA: A Reconfigurable VR Environment for Studying Spatial Navigation in Humans Using EEG
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper describes a reconfigurable VR environment and a markup language for creating experiments aimed at understanding human spatial navigation. It permits the creation of high-quality virtual environments and the recording of behavioral and brain activity measures while observers navigate these environments. The system is used in studies where the electroencephalographic activity is recorded while observers navigate virtual environments. The results of the study reported here confirmed previous finding that theta oscillations (electroencephalographic activity in the 4-8 Hz band) are linked to the difficulty of spatial navigation. Further, it showed that this activity is likely to occur at points where new rooms come into view, or after navigational mistakes have been realized and are being corrected. This indicates that theta oscillations in humans are related to the encoding and retrieval of spatial information.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it