Researchers across cognitive, neuro-and computer sciences increasingly reference 'human-
like'artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often …

Episodic memory involves learning and recalling associations between items and their
spatiotemporal context. Those memories can be further used to generate internal models of …

For adaptive real-time behavior in real-world contexts, the brain needs to allow past
information over multiple timescales to influence current processing for making choices that …

Much of our understanding of navigation comes from the study of individual species, often
with specific tasks tailored to those species. Here, we provide a novel experimental and …

Social navigation—such as anticipating where gossip may spread, or identifying which
acquaintances can help land a job—relies on knowing how people are connected within …

The predictive nature of the hippocampus is thought to be useful for memory-guided
cognitive behaviors. Inspired by the reinforcement learning literature, this notion has been …

During sleep, recent memories are replayed by the hippocampus, leading to their
consolidation, with a higher priority given to salient experiences. To examine the role of …

Generating synthetic locomotory and neural data is a useful yet cumbersome step commonly
required to study theoretical models of the brain's role in spatial navigation. This process can …

The hippocampus has been proposed to encode environments using a representation that
contains predictive information about likely future states, called the successor …

Cognitive maps confer animals with flexible intelligence by representing spatial, temporal,
and abstract relationships that can be used to shape thought, planning, and behavior …