Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...
This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...
Morning Overview on MSN
Meta’s TRIBE v2 offers 70x resolution brain activity model
A team of researchers has built an AI system that predicts activity across the entire human brain from movies, speech, and ...
Cancer tumorigenesis is fundamentally driven by the profound dysregulation of gene regulatory networks (GRNs) and complex epigenetic alterations. With the ...
Review Ever since AMD's cache-stacked Ryzen 7 5800X3D closed the gap with Intel in gaming, folks have wondered: if one ...
The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results