Recently, my colleagues and I published a study on decoding language from brain recordings made using functional MRI. Brain decoders are being developed to help restore communication to people who ...

University of California, Davis researchers have developed a brain-computer interface (BCI) that enables computer cursor control and clicking, using neural signals from the speech motor cortex. One ...

A team of researchers led by Kim Hong Ji and Woo Choong-Wan at the Center for Neuroscience Imaging Research (CNIR) within the Institute for Basic Science (IBS), in collaboration with Emily FINN at ...

BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...

Practical brain–computer interfaces should be able to decipher brain signals and dynamically adapt to brain fluctuations. This, however, requires a decoder capable of flexible updates with ...

In a recent study published in Nature Communications, researchers examine neural networks in the left language-dominant hemisphere responsible for semantic integration using intracranial recordings in ...

Researchers from University of California San Diego have found a way to distinguish among hand gestures that people are making by examining only data from noninvasive brain imaging, without ...

The path to a world without dementia starts with a brain tissue sample. Researchers at the University of California, Davis ...

Tracking ongoing spontaneous pain in individuals with chronic pain is challenging. Using intensive longitudinal functional magnetic resonance imaging (fMRI) combined with continuous spontaneous pain ...