Neural networks trained with a camouflage detection step show enhanced accuracy and sensitivity in identifying brain tumors from MRI scans, mimicking expert radiologists. Study: Deep learning and ...

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

Among the marvels of the human brain is its ability to generalize. We see an object, like a chair, and we know it's a chair, even when it's a slightly different shape, or it's found in an unexpected ...

For the first time, researchers at the Netherlands Institute for Neuroscience and Amsterdam UMC have identified what happens in neural networks deep within the brain during obsessive thoughts and ...

While such advances bring with them a breadth of knowledge, the immense complexity of the datasets makes it challenging for scientists to analyze them using current computational methods. Now, ...

Reichman University Researchers Reveal How the Brain Dynamically Reconfigures Networks During Speech Processing Study published in NeuroImage demonstrates how the human brain flexibly reorganizes ...

Bioengineering researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a soft, thin, stretchable bioelectronic device that can be implanted into a ...

Researchers identified two brain networks involved in word retrieval -- the cognitive process of accessing words we need to speak. A semantic network processes meaning in middle/inferior frontal gyri, ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...