A Python framework that reconstructs a digital twin of a dog's emotional and brain-region state from real fMRI, EEG, and physiological recordings across six sessions. It lets you query textual stimuli and returns an interpretable emotional vector and activation map.
Useful for
- Query a textual stimulus and inspect the resulting emotional vector and behaviour phenotype
- Replay a recorded session such as 'best friend dog' or 'chicken meat' to reproduce its state
- Compare regional activation and heart-rate patterns across the three social fMRI conditions
Before using
- License: MIT
- Installation and requirements have not been verified; review the README before running
Why now
- Created on GitHub
- 2026-10-14 UTC
- First seen by GitNova
- 2026-10-14 UTC
- Magnitude
- 7.4 / 10 · growing interest
Not enough consecutive complete history days to compare daily gains
Measured: October 14, 2026, 18:22 UTC
Measurement details
- Created on GitHub: 2026-10-14; first seen by GitNova: 2026-10-14 (UTC)
- +332 stars measured 2026-10-14, 12:36–17:57 UTC
- Not enough consecutive complete history days to compare daily gains
- Magnitude 7.4/10