Joel Ye
@_JoelYe
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NeuroAI PhD student @CarnegieMellon. Being a brain-computer interface.
Pittsburgh, PA
Joined December 2015
Neural Data Transformer 3 is preprinted! We think it can be an off-the-shelf model for all your intracortical motor decoding needs. Decoding gains over your multisession model expected if you have <1.5 hours of data.
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@E11BIO is excited to unveil PRISM technology for mapping brain wiring with simple light microscopes. Today, brain mapping in humans and other mammals is bottlenecked by accurate neuron tracing. PRISM uses molecular ID codes and AI to help neurons trace themselves. We discovered
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Excited to share our new study on inner speech out now in @CellPressNews! W/ @benyameister (co-lead) @WillettNeuro (senior) https://t.co/kO71vbAhBe
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We're hiring a Clinical Neurotechnology Research Assistant (CNRA)! Application link in next post. We'll start reviewing applicants after August 25th Please RT 🔁
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10+ years. 168M pulses. Zero serious adverse events. The longest human ICMS study ever, using the Blackrock NeuroPort System, shows intracortical microstimulation can stay safe, reliable & functional for over a decade. 🔗 https://t.co/tCYBO5zbGZ
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Something fun we discovered: you can use #Genie3 to step into and explore your favorite paintings. Here's a short visit to Edward Hopper's "Nighthawks".
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Today, we at @OpenAI achieved a milestone that many considered years away: gold medal-level performance on the 2025 IMO with a general reasoning LLM—under the same time limits as humans, without tools. As remarkable as that sounds, it’s even more significant than the headline 🧵
1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).
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We're excited to announce the Brain-to-Text '25 competition, with a new intracortical speech neuroscience dataset and $9,000 in prizes generously provided by @BlackrockNeuro_!. Can you do better than us at decoding speech-related neural activity into text? https://t.co/MKz7WuHjTh
kaggle.com
Decode intracortical neural activity during attempted speech into words
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🚨 Forest Neurotech is hiring across domains and levels! 🚨 We just added a Hardware Test Engineer role and have open roles for SWEs and EEs. More coming soon. If you (or someone you know) is mission driven, high IQ, and low ego, let's talk!
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Russ's recent talk at Stanford has to be my favorite in the past couple of years. I have asked everyone in my lab to watch it. https://t.co/KWteoN6XW1 IMO our community has accrued a huge amount of "research debt" (analogous to "technical debt") through flashy demos and
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Today we're excited to share a glimpse of what we're building at Generalist. As a first step towards our mission of making general-purpose robots a reality, we're pushing the frontiers of what end-to-end AI models can achieve in the real world. Here's a preview of our early
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Our brain-to-voice synthesis brain-computer interface paper was published in @Nature today! This neuroprosthesis synthesized the voice of a man with ALS instantaneously, enabling him to ‘speak’ flexibly and modulate the prosody of his BCI-voice. 1/7 Paper: https://t.co/STKtfgypAW
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📢 Heads-up to the neuro-ML/BCI community that we'll launch the Brain-to-Text '25 competition in ~a month, and it'll run through Dec. 31. More intracortical electrodes! More varied utterances! More... speechy? Rumor even has it there'll be cash prizes this year Stay tuned...
Excited to share our new report on lessons learned from the Brain-to-Text '24 competition! https://t.co/X3CPsP6AUV The biggest jump in accuracy came from using a fine-tuned merger LLM to combine hypotheses from an ensemble (see figure).
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New preprint! 🧠🤖 How do we build neural decoders that are: ⚡️ fast enough for real-time use 🎯 accurate across diverse tasks 🌍 generalizable to new sessions, subjects, and species? We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes! 🧵1/7
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🚨 Forest Neurotech is hiring an EE Lead! 🚨 If you've shipped 3+ product lifecycles of small/mixed-signal devices, let's talk. We're looking for mission driven, high IQ+low ego. If you/someone you know matches this description, please reach out.
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I'm excited to share our latest work — "Data Heterogeneity Limits the Scaling Effect of Pretraining in Neural Data Transformers", where we examined the effect of scaling up pretraining data in neural foundation models carefully.🧐 (1/9) Preprint:
biorxiv.org
A key challenge in analyzing neuroscience datasets is the profound variability they exhibit across sessions, animals, and data modalities–i.e., heterogeneity. Several recent studies have demonstrated...
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@aran_nayebi @SuryaGanguli Agreed on the retina! but hot take: maybe no one should be allowed to call their model a foundation model when they release it. It can only be called a foundation model once it is clear it has been used and built upon by the community.. otherwise what is it a "foundation" for?
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we made a map! https://t.co/YtwACsfSiP is a tool we built to help you explore the landscape of R&D gaps holding back science - and the bridge-scale fundamental development efforts that might allow humanity to solve them, across almost two dozen fields
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Another step toward a foundation model of the mouse brain: "Neural Encoding and Decoding at Scale (NEDS)" Trained on neural and behavioral data from 70+ mice, NEDS achieves state-of-the-art prediction of behavior (decoding) and neural responses (encoding) on held-out animals.
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This might be the first large-scale application of AI technology to geopolitics.. 4o, o3 high, Gemini 2.5 pro, Claude 3.7, Grok all give the same answer to the question on how to impose tariffs easily.
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The AI Scientist Generates its First Peer-Reviewed Scientific Publication We’re proud to announce that a paper produced by The AI Scientist-v2 passed the peer-review process at a workshop in ICLR, a top AI conference. Read more about this experiment → https://t.co/LpLYLnZMCQ
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