@SumnerLN@BlackrockNeuro_@neuralink Maybe a stretch, but human imagined handwriting seems right given the individual letter spelling and relatively recently knwon status of the Stanford team’s human trials.
New @UCSF work published in @NatureComms shows that @ChangLabUcsf 's brain-computer interface allows a person who has lost the ability to speak or type to spell out full sentences from a large vocabulary by silently attempting to speak: https://t.co/EEfXGE7aHh
If you had the equivalent of low spatial resolution (eg 8mm voxels, only in cortex) fMRI in your lab at the cost of an EEG device - what would you do with it?
@patricksmalone The video stream increases latency and variability in latency, which should decrease synchronization. Also, assuming the brain is always trying to predict what will happen next, I wonder if this increased latency/variability also makes prediction more difficult/effortful?
@patricksmalone Important to note that while spatially precise relative to pills, neurostimulation is often nonspecific wrt cell type and neural circuit (unless using in combination with exogenous agents - eg sonogenetics).
BU BME is searching for a tenure track assistant professor working at the intersection of neurotechnologies, data analytics, and cognitive neuroscience.
https://t.co/cMtH2Tp2nW
Please spread the word.
Great opportunities to do impactful mission driven work.
I had the privilige and pleasure of working closely with Pedro when I was at APL, and would jump at any opportunity to work with him again : )
Anyone wanting to put their data science, AI/ML, a…https://t.co/lO1oVyNzJA
Can’t imagine a better guiding light for BCI technologies than Eddie Chang, who I feel privileged to call both colleague and friend. Brilliant, compassionate, and humble - an uncommon combination, and exactly what the worked needs more of right now. https://t.co/FsMklbhCQi
@Andercot@patrickmineault The application my team worked on while I was at Meta was providing a hands free and private means of interacting with AR glasses. https://t.co/r0dQkYXxLL
@JeanRemiKing@honualx@MetaAI Exciting progress! MEG results being better certainly matches expectation. While EEG results are expectedly poorer, they’re actually much better than I would have guessed. Tying the models together across participants is also a super interesting way to keep scaling. Great work!
@patrickmineault Been thinking a lot about this lately in terms of whether the power of searching by parts cuts both ways, potentially giving rise to both function and dysfunction - eg traumatic memories being fully triggered by exposure to small details associated w the memory