Geeling Chau @GeelingC
Computation and Neural Systems PhD student @Caltech | Brain Computer Interfaces, Neural Signal Decoding | https://t.co/438WcGkN1l linkedin.com/in/geeling/ Joined November 2020-
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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 👉 brainbodyfm-workshop.github.io
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? kaggle.com/competitions/b…
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.
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: rdcu.be/eqH3C
📢 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...
📢 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...
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🙌
Please share/amplify! Apply now: forestneurotech.org/jobs 📍 Location: Bay Area, CA
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/content/10.110…
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. biorxiv.org/content/10.110… 1/
Want to scale models on brain datasets recorded with variable sensor layouts? Population Transformer at #ICLR2025 may be your answer! 🗺️ Fri, Apr 25 | 10am - 12:30pm (poster @ Hall 3 + Hall 2B #58) 🗣️ Fri, Apr 25 | 4:06 pm - 4:18 pm (oral @ Garnet 216-218) More ⬇️
It was so fun to be a part of this! Huge thanks to the organizers for putting it together!
It was so fun to be a part of this! Huge thanks to the organizers for putting it together!
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!
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! https://t.co/giKIGtDnl5
We are excited to hold our post-workshop social jointly with @unireps, @NeuroAI_NeurIPS, enigmaproject.ai and @newtheoryai. To register, scan the QR code!
Catch me and @czlwang presenting our poster today (12/14) 3:30-5:30pm at the #NeurIPS2024 NeuroAI Workshop! 🧠 neuroai-workshop.github.io Paper: arxiv.org/abs/2406.03044
At #NeurIPS2024 and thrilled to see so many brilliant minds in one place! 🤩🧠 If you’re exploring #MachineLearning for #Neurotech or #Neuroscience, let’s connect! Always up for discussions on brain decoding, BCIs, and scaling models for neuroscience. 🧠✨
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