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

Is brain imaging overlooking the truth? Research shows that "weak" brain connections predict behavior as well as top signals, ...

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...

On Thursday, OpenAI announced it had developed a large language model specifically trained on common biology workflows.

Russian intelligence-linked hackers are targeting users of popular messaging apps like Signal, gaining access to private messages and impersonating victims in a sweeping global campaign, according to ...

Abstract: Improving the decoding performance of steady-state visual evoked (SSVEP) signals is crucial for the practical application of SSVEP-based brain-computer interface (BCI) systems. Although ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...