Kording Lab 🦖
@KordingLab
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Konrad kording, @Penn Prof, deep learning, brains, #causality, rigor, https://t.co/tTJW05RRfa, https://t.co/qf7ZHxjaK1, Transdisciplinary optimist, Dad, Loves outdoors, 🦖
Philadelphia, PA
Joined November 2012
Wonderful news. @doristsao is one of the big thinkers in our field.
We’re launching Astera Neuro, a new neuroscience research effort led by @doristsao as Chief Scientist. Our aim is to unravel a profound scientific mystery: how the brain transforms sensory inputs into conscious experience. Advancing this work could illuminate the computational
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In Nature Electronics, we present BISC with Ken Shepard, @peabody124 & others: an ultrathin brain–computer interface chip with 65,536 electrodes, 1,024 channels, and ~100× higher bandwidth at 100 Mbit/s. A bidirectional platform toward future neocortex–AI 'exocortex' systems.
nature.com
Nature Electronics - A flexible micro-electrocorticography brain–computer interface that integrates a 256 × 256 array of electrodes, signal processing, data telemetry and...
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There's a spirit of revival stirring in America. Dinesh D'Souza's new film, The Dragon's Prophecy, is part of that movement. Based on Jonathan Cahn's No.1 bestseller, the film reveals how war, politics and the Bible converge in a way that we need to make a choice. Watch on GJW+.
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Also, is openAI one of the fastest dying companies in history.
We just dropped a 12 page AI report on how ~500 execs at US enterprises use generative AI. I read it all so you don't have to. Top 8 takeaways: Anthropic is the #1 model provider in the enterprise, with 40% of ~$37B spend, with OpenAI dropping to #2. 1/8
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If we have multiple imperfect measures we probably should average because Bayes. I have not seen evidence that we overindex on either.
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I heard so many discussions of this and the problem is that there is a huge real tradeoff. Bibliometrics measure the wrong thing, “visibility”. Letters and visits measure a different wrong thing including class and agreeableness. Both correlate to positive future science output.
This is amongst the worst takes ever. The opposition to citation counts, impact factor, h indexes etc… is that they are manifestly suck at measuring “merit” in any way that is correlated with what we should care about as a society in science. To the contrary, many of the most
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Our community mourns the loss of Nolan Williams, MD, an innovative neuroscientist whose rapid-acting treatments for severe depression brought relief to patients struggling with serious mental illness. https://t.co/uydvvV346p
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🚨 Holiday savings are almost gone. Join the tech community that learns, builds, and wins together — RenderATL. If tech is your craft, this is your people. 15% off all tickets at checkout. Tap in before it’s gone.
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1/ Why does RL struggle with social dilemmas? How can we ensure that AI learns to cooperate rather than compete? Introducing our new framework: MUPI (Embedded Universal Predictive Intelligence) which provides a theoretical basis for new cooperative solutions in RL. Preprint🧵👇
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You don't pick up a drill and ask it "what do you want to be today?" You point it, you pull the trigger. The constraint is the feature. I built a science planner around this philosophy. 10,000 scientists are using it now. Here's the thinking behind it.
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Everyone is staring at the electric motor of our time: the Large Language Model. A text window that can do anything. But it is not great at anything. The problem isn't intelligence. It's UI/UX.
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There’s not much of a playbook for being a mid-career academic. Compared to other career stages, the options for progression are numerous and varied… and generally undersampled.
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ATFV is an actively managed ETF that invests in about 35 companies identified through fundamental research as undergoing meaningful growth or business transformation. The fund includes exposure to some of the most highly disrupted segments of the market.
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🧠➡️🤖 This paper shows how oscillatory sync can power “HoloGraph” a brain-inspired model outperforming classic #GNNs on complex structures https://t.co/qq9ftDpzVy
#AI
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At what scale should spatial information be encoded toward future foundation models of intracranial brain activity? At #NeurIPS2025, we present BaRISTA ☕ — a self-supervised multi-subject model that enables flexible spatial encoding & boosts downstream decoding. 🧵Paper Code⬇️
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Awesome encoding of neural activities.
Excited to share our #NeurIPS2025 work: NuCLR, a framework for learning neuron-level representations 🧠 These embeddings capture the biological identity of neurons and work out-of-the-box on new animals; no finetuning needed 💃 This offers some of the first evidence that
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Why do people believe ai scientists are gonna be better than scientists with ai any time soon?
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Vision transformers show object binding. Surprisingly if you follow the relevant cog-sci literature.
🧵[1/8] Excited to share our NeurIPS 2025 Spotlight paper “Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?” ✨ To add to the broader discussion of binding in neural networks, we ask whether and how Vision Transformers perform object binding (the
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Spiking neural networks are surprisingly good for neural decoding. Much better than I thought they could be: https://t.co/fP6nro77au.
arxiv.org
Brain-computer interfaces (BCIs) promise to enable vital functions, such as speech and prosthetic control, for individuals with neuromotor impairments. Central to their success are neural...
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The end of benchmarks Imagine a society of apes trying to play tic tac toe. One day, they meet a very good human player, who also has a computer that has a superintelligent AI on it, trained to play tic tac toe. From their perspective, both the human and the computer perform
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If your feed makes you feel like sanity is extinct, you’re not alone. Citizens for Sanity is here to confront the radical left head-on, post by post. We take their words and their videos to expose the woke agenda to America. FOLLOW @citizens_sanity today and fight with us.
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