Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Children's Hospital Los Angeles, Los Angeles, CA. Search for other works by this author on: ...
Abstract: The present portable communication devices need high speed data transmission to support different interfaces and display technologies. These communication devices transmit data between ...
Summary: Meta’s Fundamental AI Research team has unveiled TRIBE, a groundbreaking foundation model designed to predict how the human brain processes visual and auditory stimuli. Trained on massive ...
Motivation In order to advance in the understanding of neuronal cultures as an alternative for in silico computers that could lead to a new generation of massivelly parallel biological neuroprocessors ...
Abstract: In deep learning-based dehazing strategies, attention mechanisms are widely used to refine feature representations and improve overall performance. However, conventional contextual attention ...
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