<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Neural Sensing on Yuxin Guo | PhD Student at Carnegie Mellon University</title><link>https://yx-guo.github.io/tags/neural-sensing/</link><description>Recent content in Neural Sensing on Yuxin Guo | PhD Student at Carnegie Mellon University</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://yx-guo.github.io/tags/neural-sensing/index.xml" rel="self" type="application/rss+xml"/><item><title>Information-theoretic Error Bounds for Source Localization in Neural Sensing</title><link>https://yx-guo.github.io/papers/paper1/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://yx-guo.github.io/papers/paper1/</guid><description>This paper analyzes and quantifies theoretical limits of EEG sensing systems with Fisher information metrics. Accepted at AISTATS, 2026.</description></item><item><title>Machine Learning for Neural Sensing</title><link>https://yx-guo.github.io/research/research1/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://yx-guo.github.io/research/research1/</guid><description>End-to-end machine learning systems for neural sensing, source localization, and biomarker discovery at Carnegie Mellon University.</description></item></channel></rss>