"I'm not gonna do this again," we often say when faced with negative feedback, adverse effects, or disappointing outcomes. Thus, we attempt to learn from such negative experiences. This principle is ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

Neural circuits associated with three cortical regions in cognitive generalization with different manifestations from different species. (A) Emotionrelated brain regions mainly project to PFC and OFC; ...

In the split second that is needed to view a stop sign and react to it, our brain navigates a complex process that transitions seamlessly from perception to action control. This ability to halt or ...

New neuroscience milestone was achieved for non-invasive brain-computer interface (BCI) by uniting human learning with AI ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Continual learning refers to the capacity of neural networks to acquire knowledge from a stream of non-stationary data, preserving earlier competencies while adapting to new tasks. Unlike conventional ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Stanford Medicine investigators have replicated, in a lab dish, one of the most prominent human nervous pathways for sensing pain. This nerve circuit transmits sensations from the body’s skin to the ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...