The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Modern artificial intelligence systems operate with a fundamental paradox: they demonstrate remarkable reasoning capabilities while simultaneously suffering from systematic amnesia. Large language ...

Detecting learning-dependent changes in neural networks to understand how memory is made in the prefrontal region of the brain Okazaki, Japan – Scientists have long speculated about the physical ...

Memory Bank is a response to the challenges posed by traditional AI memory systems. Stateless models, while effective for single-session tasks, are inherently limited in their ability to maintain ...

Memory, as the paper describes, is the key capability that allows AI to transition from tools to agents. As language models ...

Sometimes, we search for information in long-term memory and find it—a name, a movie title, or a vivid example to support a general conclusion. Other times, we're unable to recall what we believe we ...

In the arena of cognitive psychology, scientists typically devise laboratory tasks that have little to do with everyday life in order to test a theoretical model. Findings from such experiments help ...