Can the #brain be trained to speak without actually speaking? A new @CommsBio paper shows that users can improve brain-computer interface control through training, unlocking new possibilities for imagined #speech communication. Read it now at: https://t.co/Ib0aAqrw92 #BCI
📣 IMAGINED SPEECH-BCI PAPER OUT! 📣
We trained healthy volunteers to control a Brain-Computer Interface by imagining pronouncing one of two syllables over 5 consecutive days. We found :
🧠 People indeed learn to control the system
https://t.co/vkOxMRB48x
📊 The performance improvement was linked to power increase over frontal and central regions in the theta band and the left temporal area in the low-gamma band.
📉 With training, decoding features become more focal and localized over most discriminant features.
Big day for the @TNE_LAB! We officially started our collaboration with industrial partner BionIT Labs (a rising star in the field of bionics with their @Adams_Hand_) to work on integrating thermal feedback in future prosthetic hands!
Huge thanks to the @EPFL Technology transfer office and the Enable grant for supporting us.
With @_smicera, @JonathanMuheim@Neuro_X_EPFL
I feel at home in Switzerland, I love many aspects of the local culture and I even produced a little Swiss humain. But I'll never get used to the sadness of the single layer of ham and cheese in sandwiches. #swisspanini#notrubensandwich
Our research with the amazing Nova survivors, investigating how trauma experienced under psychedelics is processed has been covered in @nytimes https://t.co/ZTA5McL2el
📢Speech-BCI paper out📢 Decoding imagined speech is real-time is incredibly difficult, so in this study we worked to improve the decoding approach by developing an adaptive LDA classifier 👇 1/3
https://t.co/QhoU16IPf5