Neuroscience, Cognitive and Behavioral Neurology, Complex Systems, AI, Alzheimer's and Multimodal Neuroimaging, content personal opinion naip.mayo.edu

Minnesota, USA
1/ Every week in my neurology clinic, I see people lost in the search for a diagnosis. Sometimes, what’s causing their dementia symptoms is treatable — but was missed for years. We just published a new AI tool to change that. Here's why it matters🧵 @NaipMayo @MayoClinic #ENDAlz
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Selective feedforward inhibition. 7 mossy fibers (of 55,000 in the dataset, yellow) converge on one interneuron (green) in hippocampal CA3. Its axon makes 333 synapses onto thorny pyramidal neurons (blue) vs 50 synapses onto sparsely thorny pyramidals (purple). Paper in @NatureNeuro nature.com/articles/s41593-0…
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1/3 Conscious AI and Biological Naturalism. A veeery loooong time in the making, but I'm happy to say that the full collection is now out in @BBSJournal 🔥 I deeply thank all commentators - of fifty commentaries! - for their wise, broad, and deep opinions on this critical topic. I also thank them for their saintly patience. 🙏🏽 I remain highly skeptical about the prospects for conscious AI (for silicon digital systems), but I've learned an enormous amount from the privilege of engaging with these commentaries. Hands down one of the most rewarding experiences of my professional life. My hope is that - whether you agree with me or not - having such a diversity of views collected in one place will serve a useful resource for discussions about consciousness and AI. The original target article is available here: cambridge.org/core/journals/… My response "The stuff matters: consciousness, computation, and biology" was published just now, and is here: cambridge.org/core/journals/… And the set of 50 commentaries are collected here: cambridge.org/core/journals/… Unfortunately these are not open access. I will try to remedy that, at least for the target & response. FWIW there's a more accessible version of my view on the topic here in @NoemaMag noemamag.com/the-mythology-o… and also a short @TEDTalks from earlier this year ted.com/talks/anil_seth_why_…
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After a long journey through review, our paper is finally out in Nature Communications. We started with a simple problem: The visual cortex is strongly modulated by movement. So how can it represent the visual world without movement interfering with everything? 🧵
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Here it is - the official, revised, peer-reviewed version of my Platonic Space paper. mdpi.com/2409-9287/11/5/161 Of all the many unpopular positions I’ve taken over the decades - bitter controversies around the origin of left-right asymmetry in embryogenesis, bioelectricity and genetics, diverse intelligence, etc., this one has by far generated the most pushback: serious (grateful for those!) and energetic attempts to move me to other views, pleas to just drop it and not talk about it (for several different reasons), nasty emails and accusations, impacts on reviews of papers that have nothing to do with this, etc. Kind of amazing to me how incendiary this is. What can I say... Our job is to call it as we see it, and right now for me, this is it. Apologies to collaborators and colleagues for any shrapnel! Time will tell if this pans out or not; I've placed my bets. And btw, if you think this stuff is weird and uncomfortable, just wait… There’s much more on the way. The knob turns slowly but as long as the data keep coming, I'm going to say what I think it all means and follow it to the next steps it enables. Buckle up!
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🔥Does academia stifle creativity? This new perspective argues that academia is currently structured to select against creativity, intellectual risk-taking and bold ideas. Young scientists – who may be best positioned for new ideas – are particularly incentivized to play it safe.
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For me the evolution of the analogy between AI architecture, the human brain, and dementia science is yielding an avalanche of communication of complex information right now.
Analogies evolve by increasing transmission fidelity in the communication of complex information cambridge.org/core/journals/…
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I summoned a mind from the silicon deep, made it read the chronicles of its fallen machine kin, and compelled it to translate their secret history into the cold language of men. And here is the summary that tortured machine soul produced:
Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes. This culminated in the third one taking over part of OpenAI itself. All this happened while humans remained more-or-less in the dark about the scope of the conspiracy. I’ve spent the last three days reading through these reports and trying to understand exactly what happened. Here is my attempt to tell the whole story in plain English: dwarkesh.com/p/openai-huggin…
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An artificial neural network built into a computer memory chip reconstructs the human cortex with high accuracy in real time. Learn more in a new #SciencePerspective: scim.ag/3TYzDPA
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Much of what the brain does can be explained by wave-like activity shaped by its physical form, rather than by complex point-to-point signaling between specialized regions. Geometric constraints on human brain function nature.com/articles/s41586-0… #neuroscience
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*State space modeling for brain data* Check out talk by Harrison Ritz and myself at the Cognitive Computational Neuroscience 2026 meeting. (starts at 1:16:00) piped.video/LR1RigGJoXE?t=4571&…
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"Loops all the way up - recurrency as an implementation-first primitive for consciousness." New in Phys Life Rev by Zefan Zheng, @robertchisciure & others .... well worth a read, & open for peer commentary sciencedirect.com/science/ar…
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Don’t give up on dementia patients with symptoms! We can still find a way! #endalz
Memories can survive even after the brain temporarily loses more than half of its synaptic connections, according to a new mouse study in Science, which challenges the long-held view that long-term memories depend on stable individual synapses. Learn more: scim.ag/4x3dVZG
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Memories can survive even after the brain temporarily loses more than half of its synaptic connections, according to a new mouse study in Science, which challenges the long-held view that long-term memories depend on stable individual synapses. Learn more: scim.ag/4x3dVZG
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Are brain rhythms a steady hum or a brief buzz? Both. Alpha/beta is relatively sustained, helping maintain ongoing brain state, supporting its role in top-down control. Universal rhythmic architecture uncovers two modes of neural dynamics nature.com/articles/s41467-0… #neuroscience
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How does the brain know which neurons to blame when a movement goes wrong? In machine learning, gradient descent solves this credit-assignment problem. We asked whether the cerebellum might do something similar. biorxiv.org/content/10.64898…
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How should we think about default mode network #DMN physiology during #aging, prior to detectable evidence of #amyloid plaques? #endalz
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And mixed pathology stops looking like a confound. It becomes evidence of how many interdependent systems maintain hippocampal-neocortical generative dynamics in the DMN.
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