Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy.

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers.

Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...

An NIH-funded project leverages advanced synapse imaging to monitor real-time neuronal changes during learning, unveiling new insights that could inspire next-generation brain-like AI systems. How do ...

A massive, multi-year project led by over 150 scientists has produced the most detailed map yet of how visual information travels through the brain – revealing more than 500 million connections in a ...

Neurobiologists using cutting-edge visualisation techniques have revealed how changes across our synapses and neurons ...

PASS theory explains cognition through four processes—planning, attention, simultaneous, and successive—that offer a dynamic ...

Learning is something everyone does daily—mastering new skills at work, remembering song lyrics, or following directions to ...

The brain learns due to neurons using multiple mechanisms to store knowledge according to a new study by researchers.

Learning triggers changes across trillions of synapses, where neurons communicate with each other. This process, known as ...

From this age, the human hippocampus can encode short-term memory traces, according to a pair of American researchers in the journal 'Science.' ...