Caenorhabditis elegans behavioral response to a mechanosensory signal depends on both the temporal properties of the signal, such as its rate of change, and the animal's current behavior state.

Prediction of future input explains diverse neural tuning properties in sensory cortex.

When a person listens to music, their brain continually predicts upcoming notes, based on that person's likely lifelong musical experience.

A synthesis of 20+ years of experimental studies on 'splitter cells' in the hippocampus reveals that signature properties of (1) temporal context models and (2) latent state inference are both needed to account for the data.

Judgments of how much time elapsed between two events in a story are predicted by changes in fMRI activity patterns.

The anterior and posterior parts of the hippocampus have distinct roles in the retrieval of contextual information in memories of recent experiences.

Key variables required for pain perception in the context of a predictive coding model are correlated with distinct oscillatory profiles.

The BB model explains spatial cognition in terms of interactions between specific neuronal populations, providing a common computational framework for the human neuropsychological and in vivo animal electrophysiological literatures.

Speech processing engages multiple predictive models, using sublexical, word- and sentence contexts in parallel to anticipate upcoming phonemes.

Embryoid bodies produce diverse cell types and can enable the study of gene regulatory dynamics at unprecedented spatial and temporal resolution.