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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Elastic Nanocomputation in an Ideal Brain (1p abstract + 36 pages + 49 endnotes) · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1409.8275/</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/1409.8275/feed.xml" rel="self" type="application/rss+xml" /><item><title>Elastic Nanocomputation in an Ideal Brain (1p abstract + 36 pages + 49 endnotes) — mentioned by algorithmist</title><link>https://news.ycombinator.com/item?id=14080691</link><guid isPermaLink="false">urn:hackerpapers:mention:1409.8275:14080691</guid><pubDate>Mon, 10 Apr 2017 17:30:30 GMT</pubDate><description>&lt;p&gt;&amp;quot;Brain-like&amp;quot; can mean either of two things, the circuit approach or the algorithm approach. 1) Circuits: Its components look like neurons (analog internals, spikes, etc). Algorithmic: 2) It performs the same real-time 3-D tomography/simulation/control which real brains perform. This second approach is unusual in ignoring &amp;quot;neurons&amp;quot; entirely, but has the advantage that 3-D reconstruction from undersampled, quantized inputs is a well-posed computational problem, although it does require a difficult-to-imagine continuous, self-amplifying 3-D representational medium to make it work. My…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1409.8275/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-bio.NC</category></item></channel></rss>
