
Katrin Franke
@kfrankelab
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Senior Scientist Neuroscience & AI • @StanfordMed • https://t.co/4GWyR7iUEO • https://t.co/oHbDmfP0li
Stanford, CA, US
Joined August 2019
So excited this is out @Nature 🎉 Pupil dilation with internal brain state rapidly shifts neural feature/color selectivity in mouse visual cortex by switching between rod&cone photoreceptors👁️🧠 https://t.co/RBn6J1E6RM Shared work with @KonstantinWille, @AToliasLab & @sinzlab
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Using AI to advance our understanding of fundamental physics is the dream. Excited to see our latest AI model 'Deep Loop Shaping' help @LIGO and @Caltech detect the gravitational waves of intermediate-mass black holes better! Published in @ScienceMagazine
We’re helping to unlock the mysteries of the universe with AI. 🌌 Our novel Deep Loop Shaping method published in @ScienceMagazine could help astronomers observe more events like collisions and mergers of black holes in greater detail, and gather more data about rare space
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📢 #NeurReps2025 UPDATE While we are beginning to set up the reviewing process, we're accepting late submissions until September 4th! 📅 Get your papers in now to be part of this exciting #NeurIPS2025 workshop on neural representations. Submit at
neurreps.org
Call for Papers
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Cutting-edge AI4Science research with the ocean at your doorstep? I'm interested👓🥼 At UCSB, we build AI methods that accelerate discovery — from neuroscience to physics to healthcare. Join @ai_ucsb and help shape the future of AI4Science!
We are recruiting postdocs @ai_ucsb ! w @YaoQin_UCSB @HaewonJeong00 You want to lead the future of AI4Science? Apply to UCSB Real AI For Science Initiative🌟 Deadline: Sept 15, 2025. Competitive salary. This is the view you'll have from... your desk! By @AdeleMyersPhD
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We are recruiting postdocs @ai_ucsb ! w @YaoQin_UCSB @HaewonJeong00 You want to lead the future of AI4Science? Apply to UCSB Real AI For Science Initiative🌟 Deadline: Sept 15, 2025. Competitive salary. This is the view you'll have from... your desk! By @AdeleMyersPhD
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Discover our research: https://t.co/5g0jN7JbUw Apply: Send CV + coverletter 📩to ai@ece.ucsb.edu 🕐by Sept 15, 2025 to receive full consideration. We hope to hear from you! @ucsantabarbara @ucsbcs @ucsbece @UCSBengineering @geometric_intel
@HaewonJeong00 @YaoQin_UCSB
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A @NeuroCellPress paper led by Kushal @UCBerkeley, Nicole&Victoria @UCSF in full collaboration with @shekharlab, Molecular and spatial analysis of ganglion cells on retinal flatmounts identifies perivascular neurons resilient to glaucoma https://t.co/QjeNMbQwWZ
#retina #MERFISH
Online now: Molecular and spatial analysis of ganglion cells on retinal flatmounts identifies perivascular neurons resilient to glaucoma https://t.co/RddHnv3hn6
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Here is my new OpED piece about the importance of primate neuroscience research for the future of AI :
wsj.com
Neuroscience research on primates will help us learn how to build an efficient thinking machine.
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“The path to real AI does not run solely through Silicon Valley. It runs through laboratories studying real neurons, real circuits and real cognition in the brains of our primate relatives.” 🎯
Here is my new OpED piece about the importance of primate neuroscience research for the future of AI :
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In a classic study of "mental rotation", Shepard and Metzler (1971) found that the time to compare two 3D cube-made objects was proportional to their angular difference. But *what is going in the brain* during this process? 🔗 Metzler & Shepard (1971): https://t.co/fbtMnbPZR0
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Interested in how geometric intelligence emerges in brains and machines? 🧠➗🤖 I joined Anita Okorie on Mind Over Matter to discuss geometric AI, brain complexity, and how neuroimaging can advance our understanding of neurodegenerative diseases. 🎧 https://t.co/qPRKMqmLQN
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$500? In this economy? NeurReps, you have my full attention. 👓💼 🏆 Categories: 🧠 Neuroscience + Interpretability 🤖 Topological + Geometric ML ❄️ Symmetry + Equivariance
🏆🏆🏆 NEURREPS PRIZE ALERT 🏆🏆🏆 The best paper in each of our categories will win a $500 cash prize! Our 3 categories are: 🧠Neuroscience + Interpretability, 🤖Topological + Geometric ML, ❄️Symmetry + Equivariance. Submit your work by Aug 22:
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From the lab to the airwaves 🎙️: Our PI @ninamiolane joined Anita Okorie on Mind Over Matter for a fascinating conversation on geometric AI, brain complexity, and how neuroimaging is helping to understand neurodegenerative disease. 🎧 Listen here: https://t.co/ePLG1rb8iw
Interested in how geometric intelligence emerges in brains and machines? 🧠➗🤖 I joined Anita Okorie on Mind Over Matter to discuss geometric AI, brain complexity, and how neuroimaging can advance our understanding of neurodegenerative diseases. 🎧 https://t.co/qPRKMqmLQN
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🏆🏆🏆 NEURREPS PRIZE ALERT 🏆🏆🏆 The best paper in each of our categories will win a $500 cash prize! Our 3 categories are: 🧠Neuroscience + Interpretability, 🤖Topological + Geometric ML, ❄️Symmetry + Equivariance. Submit your work by Aug 22:
neurreps.org
Call for Papers
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How is this paper not more well-known? Modern vision models like DINOv2, CLIP, ConvNext still struggle significantly under small translations of input images. Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations
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Many exciting new connectomics datasets dropping from @SebastianSeung lab and collaborators! This one comes from the brain’s special little seahorse: the hippocampus (subfield CA3). Where experiences become memories and patterns make their way to perception. Animation shows
Excited to share a connectomics dataset of hippocampus CA3. Explore the dataset: https://t.co/FpgI5YyUzG Paper introducing the dataset and some of our discoveries:
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I was at a robotics workshop a while ago, and someone famous boldly claimed: > "we've solved language and vision, and we did that with lots of data and next token prediction." My response was a predictable disappointment, followed by a facepalm. Vision is about inferring
So the key concern is: Using large language models to initialize vision-language(-action) models is a tempting trap — it lets us appear to make progress without truly achieving it. Most benchmarks have overwhelmingly focused on reasoning and digital domains, without
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Been waiting for this one😼! A beautiful, digestible guide to non-Euclidean ML — gorgeous visuals, clean tables, and clear explanations of topology, algebra, and geometry. Dive in 👇
Our illustrated guide to non-Euclidian ML is finally published! Check it out for ⭐️ gorgeous figures (with new additions!) on topology, algebra, and geometry in the field ⭐️ broken down tables for easy reading ⭐️ accessible text, additional refs, and more https://t.co/ZiE55GgGOD
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ICLR 2026 will take place in 📍Rio de Janeiro, Brazil 📅 April 23–27, 2026 Save the date - see you in Rio! #ICLR2026
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If your research lives at the edge of math, brains, and AI — this is the workshop to be at. San Diego in August doesn’t hurt either ☀️
📢 Reminder! The submission deadline for NeurReps 2025 is Friday, August 22 ‼️ Come join us in San Diego! 🏄 Submit your work on how mathematical structure shapes computation in the brain and in AI systems: https://t.co/A3jYmImrLf
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