The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

have published a geometric deep learning approach in Nature Methods that can infer latent brain activity patterns across ...

A massive, multi-year project led by over 150 scientists has produced the most detailed map yet of how visual information ...

Understanding and treating brain disorders such as tremor, imbalance, and speech impairments requires deep knowledge of the ...

An NIH-funded project leverages advanced synapse imaging to monitor real-time neuronal changes during learning, unveiling new ...

Neuroscientists have observed for the first time how structures deep in the brain are activated when the brain becomes aware of its own thoughts, known as conscious perception 1. The brain is ...

It was found to be one quarter mile (400m) ... UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach.

They enlisted nearly 40 participants to complete a simple learning task while their brain activity was recorded ... similar to those seen during sleep or deep rest. These “sleep-like” states ...