In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

Long-term memory formation is a major function of sleep. Based on evidence from
neurophysiological and behavioral studies mainly in humans and rodents, we consider the …

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 …

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 …

The hippocampus is crucial for spatial navigation and episodic memory formation.
Hippocampal place cells exhibit spatially selective activity within an environment and have …

Tremendous strides have been made in our understanding of the neurobiological substrates
of memory–the so-called memory “engram”. Here, we integrate recent progress in the …

The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.
In more recent times, however, communication and collaboration between the two fields has …

BACKGROUND Ever since Edward Tolman's proposal that comprehensive cognitive maps
underlie spatial navigation and, more generally, psychological functions, the question of …

Artificial intelligence now advances by performing twice as many floating-point
multiplications every two months, but the semiconductor industry tiles twice as many …

Neural computations are often compared to instrument-measured distance or duration, and
such relationships are interpreted by a human observer. However, neural circuits do not …