Research Compounds Scientists Study for Brain Function and Cognitive Performance Modern neuroscience research continues ...

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 ...

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

Sickle cell disease is often thought of solely as a blood disorder, but new research from the Wood Neuro Research Group ...

Recurrent neural networks are a classification of artificial neural networks used in artificial intelligence (AI), natural language processing (NLP), deep learning, and machine learning. They process ...

The field of cellular neuroscience continues to reveal the intricate regulation of neural and glial cell function by water and ion channels, transporters, ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

Scientists discover that sickle cell disease forces the brain to recruit extra "attention backup" to maintain normal cognitive function.