<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Master Stability Functions of Networks of Izhikevich Neurons · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2303.13921/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2303.13921/feed.xml" rel="self" type="application/rss+xml" /><item><title>Master Stability Functions of Networks of Izhikevich Neurons — mentioned by nyrikki</title><link>https://news.ycombinator.com/item?id=39920134</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.13921:39920134</guid><pubDate>Wed, 03 Apr 2024 17:12:54 GMT</pubDate><description>&lt;p&gt;That was once a popular belief, but we have moved past that historical concept. Here is a paper that is fairly accessible that may help. https://home.csulb.edu/~scrass/teaching/math456/articles/sen... It becomes important when you have a need to make useful models, or to know when you probably won&amp;#x27;t be able to find a practical approximation. It is similar to the erroneous explanation of entropy as disorder, which is fundamentally false, yet popular. It has real implications, like frustrating the efforts to make ANNs that are closer to biological neurons: https://arxiv.org/abs/2303.13921 Or…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.13921/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>nlin.CD</category></item></channel></rss>
