Thrilled and grateful to share our paper out today in @Nature
(rdcu.be/fbd7J). We used a brain machine interface (brain computer interface, #BCI) to causally test the origin of the high-gamma band of local field potentials #LFP. See explanation by @TH_Alec_Lei below
๐ Excited to share our new paper inย Nature: โActive Dissociation of Intracortical Spiking and High Gamma Activity.โย ๐ง
Huge thanks to my advisors first: @SlutzkyLab@joshuaiglaser
Paper link: nature.com/articles/s41586-0โฆ
Here are some digests that walk you through the results ๐๐ผ
๐ New Preprint! A Scalable Pipeline for Estimating Verb Frame Frequencies Using Large Language Models.ย We introduce another unexpected use for LLMs: custom treebanks via automated corpus annotationย ๐งต1/8
doi.org/10.48550/arXiv.2507.โฆ
๐ง ๐๏ธ๐ฃ๏ธFinally out! Paper with a way-too-long name for social media. How does the brain turn words into sentences? We tracked words in participants' brains while they produced sentences, and found some unexpectedly neat patterns. ๐งต1/9
rdcu.be/epA1J in @CommsPsychol
ALT Task screenshots (picture naming: a cartoon picture of Frankenstein; scene description: cartoon image of Dracula hitting Frankenstein) and mean neural activity per word for one electrode in middle temporal gyrus.
Using electrical recordings taken from the surface of the brain, researchers decode what words neurosurgical patients are saying and show that the brain plans words in a different order than they are ultimately spoken.
@adumbmoron@adeenflinkernature.com/articles/s44271-0โฆ
From his family:โHe thought that he lived a good life overall and was at peace. There is not going to be a memorial, but the way to honor Ryan's life is to fight for research and university independence in these difficult times for academia and civil liberties in the US.โ
Just presented our work using #ECoG to decode words during sentence production at #HSP2025. Really grateful for all the great feedback. I got more clever ideas for future directions than I can possibly follow up on. Love this conference!
doi.org/10.1101/2024.10.30.6โฆ
ALT Results of decoding words during the production of active and passive sentences. In actives, nouns were decoded in the order they were said, whereas in passives, prefrontal cortex sustained representations of both the subject and the object throughout the duration of the sentence while sensorimotor areas patterned with actives (showing โcongruentโ temporal representations).