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Average decoding scores for modality-agnostic decoders (green), compared to modality-specific decoders trained on data from subjects viewing images (orange) or on ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...

Abstract: Denoising diffusion error correction code (DDECC) is a recent state-of-the-art neural decoding framework by casting decoding as a deterministic reverse ...

Abstract: Encoding and decoding of Reed-Muller codes have been a major research topic in coding and theoretical computer science communities. Despite of the fact that there have been numerous encoding ...

Panel A: Setup of the main fMRI experiment. Subjects were seeing images and captions in random alternation. Whenever the current stimulus matched the previous stimulus, the subjects were instructed to ...

Most experimental brain-computer interfaces (BCIs) that have been used for synthesizing human speech have been implanted in the areas of the brain that translate the intention to speak into the muscle ...

A new study out this month from Stanford University researchers uses microelectrodes implanted in the motor cortex and generative AI to decode the intended and inner speech of four paralyzed patients.

Welcome to the 21st, its the future. Software decoding simply is just doing what was done on dedicated components, then on dedicated IC's and finally on FPGAs and all in one IC's, its not magic and ...

In the field of structured information extraction, there are typically semantic and syntactic constraints on the output of information extraction (IE) systems. These constraints, however, can ...