Abstract Systems neuroscience seeks explanations for how the brain implements a wide
variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to …

I would like to preface this paper with some historical considerations so that the main theme
of the paper can be put in better perspective and possibly be more easily understood. It is …

We rely on our long-term memories to guide future behaviors, making it adaptive to prioritize
the retention of goal-relevant, salient information in memory. In this review, we discuss …

Regularities are gradually represented in cortex after extensive experience [1], and yet they
can influence behavior after minimal exposure [2, 3]. What kind of representations support …

Background Registry data on patients with type 1 diabetes mellitus who undergo pancreatic
islet transplantation indicate that only 8 percent are free of the need for insulin therapy at …

Our experience of the world seems to divide naturally into discrete, temporally extended
events, yet the mechanisms underlying the learning and identification of events are poorly …

The hippocampus is involved in the learning and representation of temporal statistics, but little
is understood about the kinds of statistics it can uncover. Prior studies have tested various …

The sensory input that we experience is highly patterned, and we are experts at detecting
these regularities. Although the extraction of such regularities, or statistical learning (SL), is …

The hippocampus replays experiences during quiet rest periods, and this replay benefits
subsequent memory. A critical open question is how memories are prioritized for this replay. …

Background Coronavirus disease 2019 (Covid-19) disproportionately results in hospitalization
or death in older patients and those with underlying conditions. Sotrovimab is a pan-…