Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

The idea of “reading minds” has shifted from science fiction to a concrete engineering challenge, and the latest breakthroughs suggest the brain’s private code is finally yielding. Researchers are not ...

Abstract: Decoding emotion processing from electroencephalogram (EEG) signals is challenging yet promising. We investigate the use of Graph Neural Networks (GNNs) for interpreting EEG data.

The grounds of the Natural History Museum (NHM) in London have undergone a complete transformation in recent years, which has served to ensure that visitors are fully immersed in the wonders of the ...

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

All around us is a rich world for us to experience. Inside our minds, we have our own understanding of the world, ourselves, and everything in it. How does the brain do any of this? There’s all this ...

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 ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...

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.

Scientists have pinpointed brain activity related to inner speech—the silent monolog in people's heads—and successfully decoded it on command with up to 74% accuracy. "This is the first time we've ...