Reading Notes - Neuroscience Inspirations for AI

I reviewed several materials on cortical computation and noise robustness.

What stood out:

• Biological systems rely on redundancy and local adaptation, not only scale.
• Robustness is often an emergent property of system design, not a single trick.
• Interpretability improves when models are constrained by plausible mechanisms.

Next step: prototype a small benchmark that compares standard and bio-inspired architectures under perturbations.