Nikolaus Kriegeskorte
@KriegeskorteLab
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Vision, neural networks, and open brain science. RT means "This may deserve more attention". Like means "I have read this (e.g. paper) and think it's solid."
Joined June 2014
1/ Can causal models and causal inference engines emerge through next-token prediction? @yudapearl and others (@matej_zecevic) have argued no. We present behavioral and mechanistic evidence that this is possible. #neurips2025 #NeurIPS
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Encoding models predict visual responses to novel images in cortical areas. But can these models offer new insights about categorical representations? If so, we should be able to generate new hypotheses from them to be tested in future experiments. @NeurIPSConf #NeurIPS2025 1/15
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Our "mind captioning" paper is now published in @ScienceAdvances. The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding. https://t.co/Lt48p2pUYS
science.org
Nonverbal thoughts can be translated into verbal descriptions by aligning semantic representations between text and the brain.
Our new paper is on bioRxiv. We present a novel generative decoding method, called Mind Captioning, and demonstrate the generation of descriptive text of viewed and imagined content from human brain activity. The video shows text generated for viewed content during optimization.
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What are examples of compelling/moving/interesting art that uses generative AI in novel ways, rather than recreating existing art styles? I'm surprised I haven't seen more of this (but maybe I haven't been looking in the right places), some examples in thread
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🧵🎉 Our mega-paper is finally published in TMLR! We're "Getting Aligned on Representational Alignment" - the degree to which internal representations of different (biological & artificial) information processing systems agree. 🧠🤖🔬🔍 #CognitiveScience #Neuroscience #AI
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I really enjoyed this podcast. Very high density conversation. One simple argument I missed for why AI has been disproportionately successful at math and coding: domain knowledge. Coding and math is what AI engineers are good at or aspiring to. I would be very surprised if the
The @karpathy interview 0:00:00 – AGI is still a decade away 0:30:33 – LLM cognitive deficits 0:40:53 – RL is terrible 0:50:26 – How do humans learn? 1:07:13 – AGI will blend into 2% GDP growth 1:18:24 – ASI 1:33:38 – Evolution of intelligence & culture 1:43:43 - Why self
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For more on the method @KriegeskorteLab and I have been developing that honors both geometry and mean response preferences (which we call "Framed RSA"), check out the poster highlights below—many thanks for the great feedback and questions from those who came by yesterday
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I asked FIRE what laws Congress could pass to better protect free speech for everyone. What's on the legislative wishlist of the nonpartisan organization? Five items, all of which predate the current moment. See them below.
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The murder of Charlie Kirk is part of a disturbing rise in political violence that threatens to hollow out our public life. A free society relies on the premise that people can speak out without fear or humiliation. No more political violence.
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✈️ Safer AI for Aviation – with Conformal Prediction Landing an aircraft is one of the most critical phases of flight. Vision-based systems that detect runways can support pilots and autopilots—but in aerospace, “pretty accurate” isn’t enough. We need reliable guarantees.
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ARC Prize Foundation @ MIT We're hosting an evening with top researchers to explore measuring sample efficient in humans and machines Join us to hear from Francois Chollet along with a world class panel: Josh Tenenbaum, Samuel Gershman, Laura Schulz, Jacob Andreas
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Do you hold back from posting because the audience never feels right? Small groups feel safe but limiting. Public platforms feel risky and performative. Our #CSCW2025 paper introduces Burst: a design that connects private and public spaces. We found that posters felt safer and
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Provocative talk from John Morrison at @CogCompNeuro: using learning speed as a tool to map DNNs to interpretable algorithms. Always exciting when a talk feels like the start of something genuinely new
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It's publication day for 📘Elusive Cures. What a moment! 1st book, 1st time on Mindscape. Here, @seanmcarroll and I have a wide-ranging conversation about the brain, including: Why are brain and mental disorders so hard to understand and treat?
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🧵I enjoyed and recommend Hossenfelder's eloquent book "Lost in Math" on the state of theoretical physics. However, this foray into vision science & philosophy is unfortunately rather sloppy and would quite mislead a curious viewer looking to learn more about brain science. 1/
For decades, researchers have assumed that qualia – each person’s subjective experiences – can’t be measured. Now scientists went and measured it. https://t.co/XHeiXNr2BO
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Absolute honor to be awarded the David Marr Medal by the Applied Vision Association Looking forward to my talk “Five Illusions Challenge Our Understanding of Visual Experience” Thanks so much to NOMIS Foundation, @ItalianAcademy, @columbiacss, @KriegeskorteLab, @ZuckermanBrain
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There are a number of permanent positions available in Glasgow, UK. This includes a professorship for 7T and layer-fMRI work. https://t.co/knwMNGpBKF posted on behalf of @LarsMuckli
nature.com
University of Glasgow College of Medical, Veterinary and Life Sciences School of Psychology & Neuroscience Professor in Cognitive Neuroscience/Psy...
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AI could enable new mechanisms for participatory democracy. Imagine a million citizen assemblies on Zoom, transcribed and summarized by AI models. Exciting progress toward one piece of this puzzle from @bakkermichiel, @summerfieldlab, @mattbotvinick et al. ...
🚨🚨🚨 VERY excited to share our new paper on how AI can facilitate democratic deliberation, published today in @ScienceMagazine! Together with @mhtessler, @summerfieldlab, and other amazing collaborators at @GoogleDeepMind we've been building the "Habermas Machine"
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Didn't know about this, not only intellectual but also genetic link between George Boole and Geoffrey E. Hinton. Simon Peyton Jones gave an amazing talk at #DarwinCollege. Great content, engaging delivery, and he spoke so fast I couldn’t zone out like I often do during talks🙂
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🧵 NEW PAPER: Neurons that nonlinearly integrate multiple sensory and cognitive variables help enable flexible cognition. In this study with @yaoda_xu, we use fMRI to noninvasively measure nonlinear mixed selectivity across the human visual system. 1/ https://t.co/GOzCMeploA
direct.mit.edu
Abstract. Recent experimental and theoretical work has shown that nonlinear mixed selectivity, where neurons exhibit interaction effects in their tuning to multiple variables (e.g., stimulus and...
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