Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...
A team of researchers from the University of Rochester, Yale University, and Princeton University has made a big stride in neuroscience. They have shown a method to induce learning through the direct ...
How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...
Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
Laura holds a Master's in Experimental Neuroscience and a Bachelor's in Biology from Imperial College London. Her areas of expertise include health, medicine, psychology, and neuroscience. Laura holds ...
Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...
If you have ever lifted a weight, you know the routine: challenge the muscle, give it rest, feed it and repeat. Over time, it ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results