An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain's ...

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

A study introduces a scalable 2D human neuron platform to probe how brain-like rhythms emerge and how specific drugs reshape them, aiding epilepsy and autism research.

New research shows that physical pressure from brain tumors or injuries triggers a "self-destruction" program in neurons, leading to irreversible brain damage.

Neuronal network dynamics and electrophysiology encompass the study of how networks of neurons communicate, adapt and process information through electrical signals. This field integrates insights ...

Researchers have mapped and catalogued more than 70,000 synaptic connections from about 2,000 rat neurons, using a silicon chip capable of recording small yet telltale synaptic signals from a large ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...

Hao Yu (National University of Defense Technology), Chuan Ma (Chongqing University), Xinhang Wan (National University of Defense Technology), Jun Wang (National University of Defense Technology), Tao ...