Peer-reviewedCC BYPsychophysiology
A Dynamic State‐Based Framework for Quantifying Triadic Autonomic Synchrony During Group Decision‐Making
- 1Jena University Hospital
- 2MSB Medical School Berlin
Related
- Friend advice influences mate choice through brain-to-brain synchrony and computational decision processes
- Relational Multiplicity in Group Synchrony: Properties, Cognitive Demands, and Methodological Framework
- Quantifying Assay Confidence in Barrier Organ-on-Chip Systems: A Monte Carlo Assay-Readiness Framework for Detecting Modest Permeability Shifts
- Longitudinal clinical impact of dynamic variant re-classification on reproductive decision-making: a 3-year case study
- A Time-Resolved Framework for Quantifying Neuronal Network State Transitions
BibTeX
@article{gupta2026dynamic,
title = {{A Dynamic State‐Based Framework for Quantifying Triadic Autonomic Synchrony During Group Decision‐Making}},
author = {Yubraj Gupta and Stefanie Suttkus and Uwe Altmann and Feliberto de la Cruz and Maria Geisler and Andy Schumann and Kar‐Jürgen Bär},
journal = {Psychophysiology},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13673281},
note = {CC BY},
}
RIS
TY - JOUR
TI - A Dynamic State‐Based Framework for Quantifying Triadic Autonomic Synchrony During Group Decision‐Making
AU - Yubraj Gupta
AU - Stefanie Suttkus
AU - Uwe Altmann
AU - Feliberto de la Cruz
AU - Maria Geisler
AU - Andy Schumann
AU - Kar‐Jürgen Bär
PY - 2026
DA - 2026/10/01
JO - Psychophysiology
UR - https://europepmc.org/article/PMC/PMC13673281
SN - 0048-5772
SN - 1540-5958
ER -