Hebbian Weight Updates

Uses

How it works

Risks & contraindications

Evidence quality

Highlighted claims

• Deriving weight-update rules consistent with volatility-coupled precision dynamics is the principal open research problem. — Closed-form predictive coding via hierarchical Gaussian filters
• The gHGF formulation produces Hebbian-compatible weight-update rules that use precision as a natural-gradient weight. — Closed-form predictive coding via hierarchical Gaussian filters
• No current Hebbian rule is fully consistent with volatility-coupled precision dynamics. — Closed-form predictive coding via hierarchical Gaussian filters
• The precision-learning experiment indicates that better error conditioning does not automatically yield more stable weight updates at depth. — Closed-form predictive coding via hierarchical Gaussian filters