Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

For the first time since the 'forever chemicals' scandal came to light, residents from contamination hotspots across Europe gathered in Brussels in early March to take part in political action ...

This review examines how next-generation protein sequencing and analysis technologies are expanding proteomics beyond the ...

Multiple regions of the brain engage in fast-moving conversations to understand language, UTHealth Houston researchers have discovered, dispelling a prior school of thought that only one region of the ...

Imagine you’re a physician and you are called in to evaluate a patient who has had a sudden change in his neurological status, likely a stroke. You find him alert, mobile, and talking. But when you ...

The findings suggest there is more to the story than traditional "hub-and-spoke" models, which assume there is one conceptual hub that communicates with multiple "spokes," or smaller brain regions, to ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...

Pete Martin remembers raising a $5 million seed round at a $25 million post-money valuation for his AI-powered cybersecurity company Realm way back in 2024, aka, like a thousand “AI years” ago. That ...