Goals play a central role in human cognition. However, computational theories of learning
and decision-making often take goals as given. Here, we review key empirical findings …

Latent-cause inference is the process of identifying features of the environment that have
caused an outcome. This problem is especially important in social settings where individuals …

The hippocampal-entorhinal circuit is considered to play an important role in the spatial
cognition of animals. However, the mechanism of the information flow within the circuit and …

How does the human brain construct cognitive maps for decision-making and inference?
Here, we conduct an fMRI study on a navigation task in multidimensional abstract spaces …

When making a turn at a familiar intersection, we know what items and landmarks will come
into view. These perceptual expectations, or predictions, come from our knowledge of the …

Memory for temporal structure enables both planning of future events and retrospection of
past events. We investigated how the brain flexibly represents extended temporal …

Traditionally, Euclidean geometry is treated by scientists as a priori and objective. However,
when we take the position of an agent, the problem of selecting a best route should also …

Schemas are rich and complex knowledge structures about the typical unfolding of events in
a context. For example, a schema of a lovely dinner at a restaurant. Schemas are central in …

Throughout our lives, we learn schemas that specify what types of events to expect in
particular contexts and the temporal order in which these events usually occur. Here, our first …

Our visual world extends beyond our field of view, requiring eye, head, and body
movements to see completely. What cognitive mechanisms support our seamless interaction …