To cope with real-world dynamics, an intelligent system needs to incrementally acquire,
update, accumulate, and exploit knowledge throughout its lifetime. This ability, known as …

Although long-term memory consolidation is supported by sleep, it is unclear how it differs
from that during wakefulness. Our review, focusing on recent advances in the field, identifies …

Artificial neural networks suffer from catastrophic forgetting. Unlike humans, when these
networks are trained on something new, they rapidly forget what was learned before. In the …

BACKGROUND The idea that memory is stored as enduring changes in the brain dates
back at least to the time of Plato and Aristotle (circa 350 BCE), but its scientific articulation …

The spontaneous replay of patterns of activity related to past experiences and memories is a
striking feature of brain activity, as is the coherent activation of sets of brain areas …

Network dynamics have been proposed as a mechanistic substrate for the information
transfer across cortical and hippocampal circuits. However, little is known about the …

Neuroscience research is undergoing a minor revolution. Recent advances in machine
learning and artificial intelligence research have opened up new ways of thinking about …

The precise mechanisms that lead to cognitive decline in Alzheimer's disease are unknown.
Here we identify amyloid-plaque-associated axonal spheroids as prominent contributors to …

INTRODUCTION Adaptive decision-making requires assimilation of reward information to
guide subsequent choices. However, actions and outcomes are often separated by time and …

The generation of myelin-forming oligodendrocytes persists throughout life and is regulated
by neural activity. Here we tested whether experience-driven changes in …