<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Activation on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/activation/</link><description>Recent content in Activation on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/activation/index.xml" rel="self" type="application/rss+xml"/><item><title>Spreading activation</title><link>https://terms-en.ai-term-hub.com/en/terms/spreading_activation/</link><pubDate>Sat, 18 Jul 2026 10:16:41 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/spreading_activation/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Spreading activation is a concept originally from cognitive psychology, adapted in neural networks to describe how signal propagation occurs through interconnected units. When a specific node is activated, it sends signals to its neighbors, potentially activating them based on connection weights. In deep learning contexts, this can refer to attention mechanisms or specific regularization techniques where the activation state of one layer influences others, mimicking associative memory processes. It helps in understanding how information flows and reinforces patterns across complex network architectures.&lt;/p></description></item></channel></rss>