Reading Notes - Neuroscience Inspirations for AI

Thu, 12 Mar 2026 00:00:00 +0000

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.

Computational Robustness of Tall Pyramidal Cells

Thu, 01 Sep 2022 00:00:00 +0000

Conducted independent exploration on the robustness of L5PC neuronal cells’ response to noise of different distributions. Proposed new perspectives on the differences between biological intelligence and mainstream artificial intelligence paradigms. Repository: https://github.com/spidermonk7/neuronal-robustness

Computational Neuroscience | Shaoyang Cui

Reading Notes - Neuroscience Inspirations for AI

Computational Robustness of Tall Pyramidal Cells