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 ...

"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 ...

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; ...

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 ...

Our brains have an extraordinary ability to adapt and learn, a process known as neuroplasticity. From navigating a new city to mastering a new skill, neuroplasticity allows us to reshape our neural ...

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 ...

How does the brain know that the same snake deserves calm curiosity at the zoo and a hasty retreat on a wilderness trail?

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 ...

Research indicates that repetition and distributed practice effectively fires and rewires the brain, thereby strengthening memory and improving learning potential. This approach aims to develop 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 ...