bioRxivNeurosciencePreprint
QUATERNIONIC ASSESSMENT OF EEG TRACES ON NERVOUS MULTIDIMENSIONAL HYPERSPHERES
Arturo TozziiD, James Francis PetersiD, Norbert Jaušovec, Irina LegchenkovaiD, Edward Yu. BormashenkoiD
Abstract
The nervous activity of the brain takes place in higher-dimensional functional spaces. Indeed, recent claims advocate that the brain might be equipped with a phase space displaying four spatial dimensions plus time, instead of the classical three plus time. This suggests the possibility to investigate global visualization methods for exploiting four-dimensional maps of real experimental data sets. Here we asked whether, starting from the conventional neuro-data available in three dimensions plus time, it is feasible to find an operational procedure to describe the corresponding four-dimensional trajectories. In particular, we used quaternion orthographic projections for the assessment of electroencephalographic traces (EEG) from scalp locations. This approach makes it possible to map three-dimensional EEG traces to the surface of a four-dimensional hypersphere, which has an important advantage, since quaternionic networks make it feasible to enlighten temporally far apart nervous trajectories equipped with the same features, such as the same frequency or amplitude of electric oscillations. This leads to an incisive operational assessment of symmetries, dualities and matching descriptions hidden in the very structure of complex neuro-data signals.
- assay: electronic health records
- research focus: dimensionality reduction
- approach: transformer / foundation model
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Spatio-temporal "global" neurodynamics of the human brain in continuous and discrete picture:Simple statistics meet on-manifold microstates as multi-level cortical attractors
Tomohisa Asai, Shiho Kashihara, … Hiroshi Imamizu·bioRxiv·Jul 13, 2023
- Connectome spectral analysis to track EEG task dynamics on a subsecond scale
Katharina Glomb, Joan Rué‐Queralt, … Patric Hagmann·NeuroImagePeer-reviewed·Jul 8, 2020
- Multiplexing of EEG signatures for temporal and spatial distance estimates
Eva Marie Robinson, Martin Wiener·bioRxiv·May 23, 2020
- EEG reveals how space acts as a late heuristic of time
Fabrizio Doricchi, Gabriele Scozia, … Stefano Lasaponara·NeuroImagePeer-reviewed·Jan 8, 2026
- Four-Sphere Head Model For EEG Signals Revisited
Solveig Næss, Chaitanya Chintaluri, … Daniel Krzysztof Wojcik·Frontiers in Human NeurosciencePeer-reviewed·Oct 18, 2017
- Multivariate pattern analysis of MEG and EEG: a comparison of representational structure in time and space
Radoslaw Martin Cichy, Dimitrios Pantazis·NeuroImagePeer-reviewed·Jul 15, 2017