Geeling Chau
@GeelingC
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Computation and Neural Systems PhD student @Caltech | Brain Computer Interfaces, Neural Signal Decoding | https://t.co/438WcGkN1l
Joined November 2020
My group at Caltech is recruiting: two postdocs (mechanical design of endovascular neural interfaces; cell-type-specific neural interfaces) + multiple Ph.D. positions. If you build at the interface of electronics, chemistry & neuroscience, let’s talk. 🔗 https://t.co/d8iXkD7Ybq
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Excited to announce the Foundation Models for the Brain and Body workshop at #NeurIPS2025!🧠 We invite short papers or interactive demos on AI for neural, physiological or behavioral data. Submit by Aug 22 👉 https://t.co/t77lrS2by5
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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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With over 500 delegates in attendance, the BCI Meeting was a tremendous success. A heartfelt thank you to all of you for the engaging discussions, meaningful exchanges, and the great energy throughout the event.
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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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In #Banff for the @BCISociety #BCI2025 meeting! How can Machine Learning benefit BCIs? 🤝Would love to meet! (DM me) 📍Poster: Jun 4 (Wed) 4-6pm. P2-G-68 🗣Talk: Jun 5 (Thurs) Morning. W21: Large neural data models for BCIs. Organized by @_JoelYe🙌
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Please share/amplify! Apply now: https://t.co/XTfbcLxs01 📍 Location: Bay Area, CA
forestneurotech.org
Forest Neurotech
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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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We have released VARS-fUSI: Variable sampling for fast and efficient functional ultrasound imaging (fUSI) using neural operators. The first deep learning fUSI method to allow for different sampling durations and rates during training and inference. https://t.co/hHoWJozejz 1/
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If you missed us, we'll be speaking at 4:06pm (Friday) in Garnet 216-218! Hope to see you there! :)
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Come find us in Hall 3! Can’t wait to meet you and talk about modeling brain data across heterogeneous datasets!
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It was so fun to be a part of this! Huge thanks to the organizers for putting it together!
The recordings from the 🌐🧠 Neuro Foundation Model workshop are up on the workshop website! Thanks again to our speakers, and everyone who attended. And thanks to the entire team @cole_hurwitz, @nandahkrishna, @averyryoo, @evadyer and @tyrell_turing for making this happen 🙌
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Looking forward to joining the FM for neuro conversation at the #COSYNE2025 workshops! I will be sharing some of our experiences scaling models for iEEG datasets with variable layouts and high-resolution temporal signals. Hope to see you there!
How can large-scale models + datasets revolutionize neuroscience 🧠🤖🌐? We are excited to announce our workshop: “Building a foundation model for the brain: datasets, theory, and models” at @CosyneMeeting #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 - April 1.
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Would like to especially shout out @yisongyue, @SaberaTalukder, @_abarbu_, and Boris Katz for their valuable advice and unwavering support through @YueLabCaltech and @MIT_CBMM. @su1001v and Saraswati for indispensable help. And @czlwang for marching through this with me. 🤗🎉
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🎉Excited to share: My first ML conference paper, Population Transformer 🧠, is an Oral at #ICLR2025! This work has truly evolved since its first appearance as a workshop paper last year. So thankful to have worked with the best advisors + collaborators! 🤗 More soon!
How can we train models on more brains and sensor layouts? We present Population Transformer (PopT) which learns population-level interactions on intracranial electrodes, with 🔥decoding and interpretability benefits. See our poster at #ICML2024 @AI_for_Science 12pm
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We are excited to hold our post-workshop social jointly with @unireps, @NeuroAI_NeurIPS, https://t.co/Q8RWGJ07e2 and @newtheoryai. To register, scan the QR code!
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Catch me and @czlwang presenting our poster today (12/14) 3:30-5:30pm at the #NeurIPS2024 NeuroAI Workshop! 🧠 https://t.co/d6End8YVWj Paper:
neuroai-workshop.github.io
Examining the fusion of neuroscience and AI: unlocking brain-inspired algorithms, advancing biological and artificial intelligence
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