(A) Schematic illustration of the DishBrain feedback loop, the simulated game environment, and electrode configurations. (B) A schematic illustration of the overall network construction framework. The ...

Recently, a collaborative team from multiple institutions, including CIOMP, published a review article in Light: Science & ...

Deep beneath Yellowstone’s famous geysers, a hidden world of microbes and magma is responding to earthquakes in ways ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

In a new research project led by the Central Institute of Mental Health (CIMH) in Mannheim, scientists are investigating how ...

For the first time, an electrical communication has just been established between a living nerve cell and its artificial equivalent. In the laboratories of the University of Massachusetts, engineers ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...