Mitchell and his researchers also are using machine learning techniques to study the brain’s ability to comprehend words, which brings the MEG brain imaging into the mix. The fMRI takes an image about ...

Image caption: Thousands of SEP-GluA2 tagged synapses (shown in green) surround a sparsely labeled dendrite (show in magenta) before and after XTC image resolution enhancement. Scale bar is 5 microns.

Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could ...

Machine Learning Brings New Insights to Brain Cells' Roles in Addiction Machine learning has enabled researchers to understand the role of neural cells in addiction, ... “If you give a computer 1,000 ...

Later, when the subjects were shown new images in the fMRI, the system detected the patient’s brain waves, generated a shorthand description of what it thinks those brain waves corresponded to ...

A step toward clinically useful brain-behavior machine learning models. Many predictive models don’t work well across different settings and populations. ... In some cases, scientists use brain images ...

If you wanted to have AI reconstruct images from your brain scans, you would have to train a custom model—and for that, scientists would need troves of high-quality fMRI data from your brain.

The new study results, publishing online May 14 in the journal Scientific Reports, avoided that problem by using machine learning to analyze entire groups of images without asking the computer to ...

The onset of psychosis can be predicted before it occurs, using a machine-learning tool which can classify MRI brain scans into those who are healthy and those at risk of a psychotic episode.

This technology, known as a "synaptic transistor," mimics the architecture of the human brain — in which the processing power and memory are fully integrated and found in the same place.