Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

Giving AI a human-like memory limitation may actually help it learn language better. In their new proof-of-principle study, ...

Emerging studies suggest that time-dependent consolidation enables memory stabilization by promoting memory integration and hippocampal-cortical transfer. Compared to massed learning, how ...

Whether working memory (WM) is encoded by persistent activity using attractors or by dynamic activity using transient trajectories has been debated for decades in both experimental and modeling ...

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...

The brain may reuse some cells to store many different memories without mixing them up with or erasing older memories, a new study in mice suggests. Led by NYU Langone Health researchers, the study ...

How motivation shapes memory formation While past studies have shown that motivation can enhance learning, the authors explain that not all motivation works the same way. Instead, different ...

A new study proves spontaneous hypothalamic histamine fluctuations gate moment-to-moment memory accessibility.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

As AI-powered learning evolves, some states are passing laws to protect biometric data, and researchers and privacy advocates ...