A Japanese research team has successfully reproduced the human neural circuit in vitro using multi-region miniature organs ...
A new study has revealed that neural inhibition and balanced neural activity in a specific area of the brain is required for ...
Synaptic plasticity — the brain's ability to modify the connections between neurons to support learning — is one of the neural functions profoundly altered in Huntington's disease, with a direct ...
A research team led by Dr. SHIN Hee-Sup at the Center for Cognition and Sociality (CCS) within the Institute for Basic Science (IBS) in Daejeon, South Korea has discovered the underlying neural ...
Depression, a common yet complex mental health issue, affects millions worldwide. Despite its prevalence and long clinical history, treating depression remains fraught with challenges. A diagnosis of ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...