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<rss version="2.0"><channel><description>Cognitive computational neuroscientist at Columbia. Creator of TorchLens:  https://github.com/johnmarktaylor91/torchlens</description><link>https://bsky.app/profile/johnmarktaylor.bsky.social</link><title>@johnmarktaylor.bsky.social - JohnMark Taylor</title><item><link>https://bsky.app/profile/johnmarktaylor.bsky.social/post/3ml2go52njk2t</link><description>My favorite vision science success story: based on her theory Anne Treisman boldly posited a weird new kind of conscious experience, where we see features (e.g., colors &amp; shapes) combined the wrong way. Then she just went and created this experience in people&#39;s brains. 1/</description><pubDate>04 May 2026 19:44 +0000</pubDate><guid isPermaLink="false">at://did:plc:74ay4vkkl3fhqostwus7t7jc/app.bsky.feed.post/3ml2go52njk2t</guid></item><item><link>https://bsky.app/profile/johnmarktaylor.bsky.social/post/3mj372dbyz22z</link><description>🧵Excited to announce—&#xA;&#xA;&#34;Reimagining the binding problem(s) for the 21st century&#34;: A VSS Symposium&#xA;&#xA;St. Pete Beach &#xA;@vssmtg.bsky.social &#xA;&#xA;May 15th, 10:30am&#xA;&#xA;Presenters: Peter Tse, JohnMark Taylor, Seda Karakose-Akbiyik, Ana Chica, Anne Sereno, &amp; Jake Quilty-Dunn&#xA;&#xA;https://visionsciences.org/symposia/?sym=68</description><pubDate>09 Apr 2026 16:10 +0000</pubDate><guid isPermaLink="false">at://did:plc:74ay4vkkl3fhqostwus7t7jc/app.bsky.feed.post/3mj372dbyz22z</guid></item><item><link>https://bsky.app/profile/johnmarktaylor.bsky.social/post/3ln2hxwrn222k</link><description>now on Twitter an AI dog automatically pops up and spouts regime propaganda slop at you when you express heretical opinions</description><pubDate>18 Apr 2025 01:31 +0000</pubDate><guid isPermaLink="false">at://did:plc:74ay4vkkl3fhqostwus7t7jc/app.bsky.feed.post/3ln2hxwrn222k</guid></item><item><link>https://bsky.app/profile/johnmarktaylor.bsky.social/post/3lmu7t4pysc2d</link><description>Excellent primer. Can be hard to pack in software engineering training amidst everything else in grad school but a little bit goes a long way&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>15 Apr 2025 13:50 +0000</pubDate><guid isPermaLink="false">at://did:plc:74ay4vkkl3fhqostwus7t7jc/app.bsky.feed.post/3lmu7t4pysc2d</guid></item><item><link>https://bsky.app/profile/johnmarktaylor.bsky.social/post/3lleoixa6hc2j</link><description>gotta believe the top salsa dancers would score through the roof on spatial intelligence / shape rotation tests</description><pubDate>27 Mar 2025 16:05 +0000</pubDate><guid isPermaLink="false">at://did:plc:74ay4vkkl3fhqostwus7t7jc/app.bsky.feed.post/3lleoixa6hc2j</guid></item><item><link>https://bsky.app/profile/johnmarktaylor.bsky.social/post/3lexib4vxok2h</link><description>Recording modalities like fMRI aggregate the responses of many thousands of neurons, but how does this affect representational geometry? Meticulous essential breakdown from @veronicabossio.bsky.social &#xA;&#xA;https://biorxiv.org/cgi/content/short/2024.12.30.630743v1</description><pubDate>05 Jan 2025 01:37 +0000</pubDate><guid isPermaLink="false">at://did:plc:74ay4vkkl3fhqostwus7t7jc/app.bsky.feed.post/3lexib4vxok2h</guid></item><item><link>https://bsky.app/profile/johnmarktaylor.bsky.social/post/3leazirye6k2k</link><description>Deep neural networks are complex, but looking inside them ought to be simple. Check out TorchLens, a package that can visualize any PyTorch network and extract all activations and metadata in just one line of code:&#xA;&#xA;https://github.com/johnmarktaylor91/torchlens&#xA;&#xA;https://www.nature.com/articles/s41598-023-40807-0</description><pubDate>27 Dec 2024 03:14 +0000</pubDate><guid isPermaLink="false">at://did:plc:74ay4vkkl3fhqostwus7t7jc/app.bsky.feed.post/3leazirye6k2k</guid></item></channel></rss>