A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a "brain tsunami." ...

Scientists are on the verge of achieving what's eluded them for 25 years: creating a working computer simulation of the ...

It also involves for some subset of the subjects, collecting brain activity. So we have people in the MRI machine and we measure their brain activity as they’re performing a number of kinds of ...

This approach equips researchers to analyze the activity levels in specific brain areas from moment to ... magnetic field produced by a tube-shaped machine. An MRI system makes use of the magnetic ...

Paralyzed man controls a robotic arm using his thoughts for seven months without requiring recalibration using a ...

University of Michigan labs are using advanced technology to help people like quadriplegics and amputees lead fuller lives ...

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' ...

Their brains were being monitored in an fMRI machine while the images flashed before their eyes, and the researchers were able to match brain activity patterns with whatever choice the subject was ...

To see if they could identify any signal of brain activity with this approach ... Bandettini notes that hacking an MRI machine to take rapid partial images like DIANA requires a significant amount of ...

nor are they likely to lie still in the earsplitting confinement of an MRI machine long enough for researchers to map activity in their brains. At Babylab, part of the Centre for Brain and ...

"The field of neuroscience has made great progress decoding motor activity and how the brain processes sight and sound. But a holy grail of this type of research is thought -- what comes between ...