JohnMark Taylor

JohnMark Taylor

@johnmarktaylor.bsky.social

Cognitive computational neuroscientist at Columbia. Creator of TorchLens: https://github.com/johnmarktaylor91/torchlens

516 followers1K following24 posts

Does anyone have a favorite platform for live Q&A during a talk session? Ideally would have: 1. Unlimited participants 2. Easy export, e.g. to a txt file 3. Easy sorting based on popularity or recency

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 & shapes) combined the wrong way. Then she just went and created this experience in people's brains. 1/

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Anyways, you can try it and introspect for yourself. Let's give our field some credit (no physics envy required): a theory made bold and counterintuitive predictions that were subsequently borne out. And Treisman did it with nothing but old-timey tech and brilliant thinking. 7/7

(Postscript: as much as we've learned with our multimillion dollar MRI scanners, how much more is there to learn about the brain from doing just the right simple experiment? Food for thought.)

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 & shapes) combined the wrong way. Then she just went and created this experience in people's brains. 1/

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At least for me, seeing the illusory conjunctions required a weird half-focused headspace—if I'm paying attention *too* closely to the letters I don't see them (exactly as her theory predicts!), but once I start zoning out they start popping up. 5/

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 & shapes) combined the wrong way. Then she just went and created this experience in people's brains. 1/

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Finally, check your answers against the correct answer shown a few seconds later. Some trials, you may find that you saw "illusory conjunctions" that weren't there—for example, a green "N" and pink "T" when in fact a pink "N" and green "T" were present. 3/

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 & shapes) combined the wrong way. Then she just went and created this experience in people's brains. 1/

JohnMark Taylor reposted

If there’s a concept in cognitive science everyone knows, it’s the binding problem. But being well known doesn’t mean there’s agreement on what it is, or that it’s been solved. Excited to be co-organizing a symposium at @vssmtg.bsky.social reimagining it for the 21st-century. Come join us!

JohnMark Taylor@johnmarktaylor.bsky.social

🧵Excited to announce— "Reimagining the binding problem(s) for the 21st century": A VSS Symposium St. Pete Beach @vssmtg.bsky.social May 15th, 10:30am Presenters: Peter Tse, JohnMark Taylor, Seda Karakose-Akbiyik, Ana Chica, Anne Sereno, & Jake Quilty-Dunn visionsciences.org/symposia/?sy...

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If you're like us you might've wondered at some point: whatever happened with the binding problem? Is it alive and kicking, solved, ill-posed? We're delighted to have the chance to hash this out from all interdisciplinary angles (behavior, neuro, AI) at this year's VSS.

We think this is a perfect time to take stock on this topic—recent findings across diverse subfields invite us to reexamine nearly every facet of the "textbook" binding problem, and the DNN revolution has given us new tools and "model organisms" for exploring it afresh.

JohnMark Taylor reposted

Harvard has set an example for other higher-ed institutions - rejecting an unlawful and ham-handed attempt to stifle academic freedom, while taking steps to make sure students can benefit from an environment of intellectual inquiry, rigorous debate and mutual respect. Let’s hope others follow suit.

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

Martin Hebart@martinhebart.bsky.social

Proud to announce our primer on "Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience" www.nature.com/articles/s44... This primer is for beginners to get started, advanced programmers to improve, and PIs. #psychology #psychsci #cogsci #neuroskyence

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