Silico Tool Decodes AI Models to Detect Parkinson's Gait
Researchers utilized the Silico tool with sparse autoencoders to successfully reverse-engineer human motion AI models, confirming their effectiveness in detecting Parkinsonian gait and visualizing the underlying predictive mechanisms.
2026-08-05 ~ 2026-08-05 · 4 related posts
- Probing Parkinson's Gait Models with SAEs: Stride Amplitude Drives Severity Predictions — mathildepapillo · 2026-08-05
- Deciphering Human Motion AI Models Using Sparse Autoencoders (SAEs) — mathildepapillo · 2026-08-05
- Silico: Using Motion AI Models to Detect Parkinson's Gait — ninamiolane · 2026-08-05
- How AI Detects Parkinson's Gait: Silico Tool Visualizes Model Predictions — mathildepapillo · 2026-08-05