🔊 Studentship opportunities
The Brain Network Dynamics Unit are offering six exciting PhD projects. Deadline is midday 2 December 2025. Read more: https://t.co/Ow9UV5QdkG
@MRCBNDU
I’ve been thinking a lot about how we scale neurotech.
Current approaches (e.g. DBS for PD) aren’t meeting the need. Emerging ones may fare even worse.
That’s why I’m scoping an @ARIA_research programme to develop neurotech built for scale.
Check out my post +share feedback!👇
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
Check out the final version of my work. This deep autoencoder model is able to reconstruct clean EEG segments, and remove EOG, motion, EMG artifacts effectively, which has been implemented on smartphones via TF-Lite for mobile EEG and portable BCI. https://t.co/26m7795s9Q
I am trying to generate the track changes version of the thesis using the latexdiff. The main.tex works well, main2.tex works well too, but the latexdiff doesn't compile with the timed out error. What should be the solution of this problem? @overleaf
Enjoying the two-day @Close_NIT conference at #Manchester@RoyceInstitute for learning and discussing the “technologies and applications for closed-loop neural interfaces”.
The global brain-computer interface market is expected to grow from USD 2,130 million in 2022 to an estimated USD 9,445.1 million in 2032. Read the full article here 👉https://t.co/J63tNETPLz
@sama On a quiet night, an elderly grandmother sits on her wicker chair, wearing a wearable EEG device on her head. She reminisces about the beautiful moments of climbing the Great Wall with her late husband in her youth, while the television plays out all the images from her memories.
It's a great opportunity to present my work at #ieeebsn conference at MIT Boston, which is about smartphone based #brainstimulation for chronic pain treatment. Many thanks to my supervisor @a_casson and our collaborator @SteveHalpin9 for supporting me.😉
Very first time to present our work at #CinC2023 in #Atlanta this year! It was great to meet other PhysioNet Challengers and discuss our approaches. Many thanks to my supervisor @a_casson and teammate @Xingle9
Check out our latest pre-print. Online now! Many thanks to my supervisor @a_casson for the support! --"Deep autoencoder for real-time single-channel EEG cleaning and its smartphone implementation using TensorFlow Lite with hardware/software acceleration" https://t.co/7g9jjUgfbp
Beyond pleased to have won the Innovation Enabling Award of £10,000 towards starting our business MouseAble, which uses advanced #materials and #bioelectronics to improve the wellbeing of lab animals. Big thanks to @EntrepMCR for supporting the award and the amazing training!