<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recurrent Neural Networks | Shaoyang Cui</title><link>https://spidermonk7.github.io/tags/recurrent-neural-networks/</link><atom:link href="https://spidermonk7.github.io/tags/recurrent-neural-networks/index.xml" rel="self" type="application/rss+xml"/><description>Recurrent Neural Networks</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 18 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>https://spidermonk7.github.io/media/icon_hu7729264130191091259.png</url><title>Recurrent Neural Networks</title><link>https://spidermonk7.github.io/tags/recurrent-neural-networks/</link></image><item><title>Learning Notes - Criticality Stage</title><link>https://spidermonk7.github.io/post/learning-notes-criticality/</link><pubDate>Wed, 18 Mar 2026 00:00:00 +0000</pubDate><guid>https://spidermonk7.github.io/post/learning-notes-criticality/</guid><description>&lt;h1 id="new-concepts-to-me">New Concepts to Me&lt;/h1>
&lt;h2 id="leaky---integration---firing-neuron">Leaky - Integration - Firing Neuron&lt;/h2>
&lt;p>A widely-used neuron model that capture more specific computational character of real neurons.&lt;/p>
&lt;h2 id="adex-adaptation-exponential-lif">AdEx: Adaptation Exponential LIF&lt;/h2>
&lt;h3 id="compared-to-hh-model">Compared to HH-Model&lt;/h3></description></item></channel></rss>