Andreas Tolias Lab @ Stanford University
@AToliasLab
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to understand intelligence and develop technologies by combining neuroscience and AI
Palo Alto, CA
Joined May 2017
Andrej Karpathy literally shows how to build apps by prompting in 30 mins https://t.co/rkJOOraznO
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@GoogleDeepMind has led the way in applying AI to science. Great to see the White House’s new Genesis Mission & excited to be collaborating with @ENERGY by giving National Lab scientists accelerated access to our frontier AI models & agentic tools, starting with AI co-scientist.
AI has the potential to compress the time needed for new discoveries from years to days. 📉 That’s why we’re supporting the US Dept. of @ENERGY's Genesis Mission – providing National Labs with access to AI tools to help accelerate research in physics, chemistry, and beyond. →
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This paper from Harvard and MIT quietly answers the most important AI question nobody benchmarks properly: Can LLMs actually discover science, or are they just good at talking about it? The paper is called “Evaluating Large Language Models in Scientific Discovery”, and instead
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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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I’ll be talking about this work #NeurIPS2025 today at 3pm! Stop by in Ballroom 6A if you’re interested - happy to discuss more during the poster session
1/9 How does the brain encode what we see? 👁️ We introduce "dual feature selectivity" – many 🐒 🐭 cortical neurons encode a continuum b/w activating & suppressing features Blog✨ https://t.co/b4LCq8mg8N 🙏 co-lead Nikos Karantzas & @AToliasLab @naturecomputes @sinzlab & more
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1/9 How does the brain encode what we see? 👁️ We introduce "dual feature selectivity" – many 🐒 🐭 cortical neurons encode a continuum b/w activating & suppressing features Blog✨ https://t.co/b4LCq8mg8N 🙏 co-lead Nikos Karantzas & @AToliasLab @naturecomputes @sinzlab & more
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LAST CALL : Only a couple of days left to resgister for the Montreal AI & Neuroscience MAIN 2025 meeting / Dec 12-13th @ HEC Montreal !! Don’t miss it ! Register today ! 👉 https://t.co/NvbBgVF8xJ
#Neuroscience #AI #MAIN2025
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🚀Excited to be at #NeurIPS2025 🧠Working on NeuroAI—using AI to understand the brain 🎤Talk Sunday at @neur_reps on interpreting the neural code Share your work & reach out if interested in👇 🔬Enigma Project @Stanford w/ @AToliasLab & @naturecomputes
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Great article from @jeremyakahn in Fortune on the huge impact of AlphaFold on biological and biomedical research.
Five years on, Google DeepMind’s AlphaFold shows why science may be AI’s killer app
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⏰ Less than one week to the submission deadline for the AAAI 2026 Workshop on Neuro for AI & AI for Neuro. Abstracts (2pg) and papers (8pg) due October 30th AOE. Submission instructions here: https://t.co/vAdA8JYR3A We'd love to see your work!
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GitLab 18.5 is one of our biggest releases ever! It comes with an AI agent catalog that allows you to use Claude, OpenAI Codex, Google Gemini CLI, Amazon Q Developer, and OpenCode as well as GitLab native agents, for examples the ones for security testing.
GitLab 18.5 is live! 🚀 57 improvements across the platform, powered by 278 community contributions. From AI agents to security enhancements, this release has something for every team. New in GitLab 18.5: 🤖 AI agents that understand your workflow 🔒 Security tools that
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We’re helping identify cancer cells that hide from the body’s immune system. 🧬 Built on our Gemma family of open models, C2S-Scale 27B has identified a new potential pathway for cancer therapy - a hypothesis we validated in the lab with scientists at @Yale University. 🧵
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The return of the physicists: "CMT-Benchmark: A benchmark for condensed matter theory built by expert researchers." https://t.co/xMtJprbF9S A set of hard physics problems few AIs can solve. Avg performance across 17 models is 11%. Problems range across topics like: Hartree-Fock
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There used to be a fountain at the center of the Civic Center Plaza in SF. It was removed in 2003 because: > It's become an intolerable situation, and we don't have additional resources to continually clean it," said Alex Mamak, a spokesman for the Department of Public Works.
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Andrej Karpathy calls AI Agents slop "Overall, the models they are not there. And I feel like the industry [...] it's making too big of a jump and it's trying to pretend that this is amazing. And it's not—it's slop! And I think they are not coming to terms with it. And maybe
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Announcing the AAAI 2026 Workshop on Neuro for AI & AI for Neuro Uniting researchers in AI, comp neuro, and neuromorphic engineering to explore dialogue between biology and machine learning The call for papers is out. Deadline: October 30 Submission link below 👇
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Thank you to everyone who joined the Neurotechnology Workshop – BCI, WBE & AGI with us, this weekend! @eboyden3, @patrickmineault, @Andrew_C_Payne, @mardinly, @michaelandregg, @stardazed0, @EscolaSean70058, @JacquesCarolan, @halehf, @AToliasLab, @BobbyKasthuri, @gkreiman,
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Work with me to transform how 10m+ children learn worldwide! UNICEF Learning Passport is a global digital education platform already reaching more than 10 million children. They are expanding rapidly toward a 50 million goal by 2030. We’re looking for a Founding Engineer at the
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In NeuroAI there's been an assumption of a tradeoff between strictess and predictivity for brain-model mappings -- with stricter methods better able to identify true mechanisms, and maximizing predictivity requiring too much flexibility. We show this is false. Basically, it
1/x Our new method, the Inter-Animal Transform Class (IATC), is a principled way to compare neural network models to the brain. It's the first to ensure both accurate brain activity predictions and specific identification of neural mechanisms. Preprint: https://t.co/hPqo5PrZoc
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An exciting breakthrough for Huntington’s patients. The AAV5-miRNA requires intraparenchymal injection under MRI which will limit broad utility, but this is an important day for patients and their families Congratulations to Uniqure scientists
🚨 The first disease-modifying therapy for Huntington's disease was just announced this morning. 75% reduction in symptoms over 36 months. This isn't hype. It's field-changing. And it uses RNA. Here's what you need to know about $QURE AMT-130 🧵
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