<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NeuroAI | Shaoyang Cui</title><link>https://spidermonk7.github.io/tags/neuroai/</link><atom:link href="https://spidermonk7.github.io/tags/neuroai/index.xml" rel="self" type="application/rss+xml"/><description>NeuroAI</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 12 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>https://spidermonk7.github.io/media/icon_hu7729264130191091259.png</url><title>NeuroAI</title><link>https://spidermonk7.github.io/tags/neuroai/</link></image><item><title>Reading Notes - Neuroscience Inspirations for AI</title><link>https://spidermonk7.github.io/post/reading-notes-neuroscience-ai/</link><pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate><guid>https://spidermonk7.github.io/post/reading-notes-neuroscience-ai/</guid><description>&lt;p>I reviewed several materials on cortical computation and noise robustness.&lt;/p>
&lt;p>What stood out:&lt;/p>
&lt;ul>
&lt;li>Biological systems rely on redundancy and local adaptation, not only scale.&lt;/li>
&lt;li>Robustness is often an emergent property of system design, not a single trick.&lt;/li>
&lt;li>Interpretability improves when models are constrained by plausible mechanisms.&lt;/li>
&lt;/ul>
&lt;p>Next step: prototype a small benchmark that compares standard and bio-inspired architectures under perturbations.&lt;/p></description></item></channel></rss>