An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training.

machine learning models were trained using functional MRI data from one group of patients to predict optimal stimulation parameter settings for another group of patients. Conventional deep brain ...

Thanks to its capacity to detect patterns and stay consistent, machine learning is a great tool for CNS behaviour studies.

More information: Christiana Westlin et al, Machine learning classification of functional neurological disorder using structural brain MRI features, Journal of Neurology, Neurosurgery & Psychiatry ...

Researchers have long used one version of this technology, known as blood oxygen level–dependent functional MRI (BOLD fMRI), to study how the human brain works ... Bandettini notes that hacking an MRI ...

Researchers at the University of Antwerp and the University of Liège (both Belgium) have identified areas of the brain that adapt to being in ... The researchers of this study used functional MRI ...

The software developed by XNef hinges on resting-state functional MRI (rs-fMRI ... several studies have developed machine-learning algorithms that use brain network markers to differentiate ...

New therapeutic techniques, including immuno-, gene and cell therapy, brain-machine ... quantitative MRI measures of microstructure and tissue composition alongside metabolic and functional ...

Major types of brain imaging techniques used today include functional magnetic resonance ... a magnetic field produced by a tube-shaped machine. An MRI system makes use of the magnetic properties ...

The Dynamic Brain and Mind Lab conducts innovative research on the cognitive neuroscience of spontaneous thought. The lab incorporates a variety of techniques in human neuroscience, including ...