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White House proposes new rules giving political appointees final approval of research grants These proposed Office of Management and Budget regulations would render the federal research grant review process opaque www.scientificamerican.com/article/whit...
I played around with building a bluesky labeler for neuroscience methods. subscribe to: neuromethods.bsky.social and like the corresponding post to have a shiny methods label appear in your profile.
15d
Yosef Grodzinsky's new book, mitpress.mit.edu/978026205200... Chomsky, the Brain, and the AI Fantasy (MIT Press), provides helpful comparisons between LLMs and human language representation and processing, and outlines important points for both research directions (linguistics, AI).
meetings.cshl.edu/courses.aspx...
This conference is going to be so cool! Good science good people good location. Register ASAP! #neuroskyence www.fens.org/news-activit...
This will be a terrific meeting in a lovely location!
3mo
New paper that merits a read (Im totally unbiased...not). Simple, straightforward, impactful message. Prediction a la LLM is nice. Constituent-constrained prediction is nicer. @jiajiezou.bsky.social and Nai Ding show brain, behavioral, MEG, ECoG data. www.nature.com/articles/s41... #neuroskyence
1mo
2mo
White House proposes new rules giving political appointees final say on research grants
These proposed Office of Management and Budget regulations would render the federal research grant review process opaque
www.scientificamerican.com
2mo
3mo
1mo
Dan Vergano
Zou et al. reveal a key difference between human brains and large language models (LLMs). While LLMs are optimized to predict the next word, the human brain modulates prediction efficiency by strategi...
www.nature.com
Constituent-constrained word prediction during language comprehension - Nature Neuroscience