Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Using a new methodology that measures how closely words' meanings are related within and between languages, an international team of researchers has revealed that for many universal concepts, the ...
The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.
Abstract: Both Chinese vocabulary and Chinese historical knowledge play an important role in the acquisition of Chinese as a second language. This paper combines the two by collecting historical ...
Abstract: Many of the criminal cases analysed by the Prosecution Office of the Federal District and Territories are repetitive and processing them can be streamlined by providing similar previous ...
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