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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Unsupervised Learning through Prediction in a Model of Cortex · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1412.7955/</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/1412.7955/feed.xml" rel="self" type="application/rss+xml" /><item><title>Unsupervised Learning through Prediction in a Model of Cortex — mentioned by bra-ket</title><link>https://news.ycombinator.com/item?id=25325876</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.7955:25325876</guid><pubDate>Sun, 06 Dec 2020 19:20:14 GMT</pubDate><description>&lt;p&gt;Deep learning is mostly irrelevant for AGI but the best part of the article is bringing up the &amp;quot;recursive process called Merge”. This Merge [0] is called &amp;quot;chunking&amp;quot; in cognitive psychology [1, 2], first mentioned in classic paper &amp;quot;The Magical Number Seven&amp;quot; by George A. Miller [3]. In the original Chomsky work[0] it is buried so deep in linguistics jargon it&amp;#x27;s easy to miss the centrality of this concept, which is the essence of generalization capability in biological mind. It&amp;#x27;s the JOIN in Leslie Valiant LINK/JOIN model [4, 5]: &amp;quot;The first basic function, JOIN, implements memory formation of a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.7955/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item></channel></rss>
