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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hippocampal formation-inspired probabilistic generative model · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2103.07356/</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/2103.07356/feed.xml" rel="self" type="application/rss+xml" /><item><title>Hippocampal formation-inspired probabilistic generative model — mentioned by pushfoo</title><link>https://news.ycombinator.com/item?id=39213886</link><guid isPermaLink="false">urn:hackerpapers:mention:2103.07356:39213886</guid><pubDate>Thu, 01 Feb 2024 08:35:36 GMT</pubDate><description>&lt;p&gt;TL;DR: They&amp;#x27;re close enough to make people argue and publish papers about similarities to the human hippocampus I have a hunch these models are approximating an important subset of what we call reasoning. In dangerously reductive terms, it&amp;#x27;s a question of how closely and how much of a function&amp;#x27;s output we can approximate. There was at least one paper[1] showing similarities between AI models and the hippocampus. That lines up with another part of human neuroscience: at least part of human reasoning appears to take place inside the hippocampus itself [2]. From my neuroscience background, the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2103.07356/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
