Time-resolved decoding of EEG reveals the nature of representations of upcoming actions and how the planned action is selected from working memory.

A computational study quantifies how macroscopic grid-like representations may emerge in the human brain using different hypotheses and navigation patterns, indicating the need to further characterize properties of grid cells.

Evidence for neuromodulatory control of flexibility in human neural models.

Hippocampal learning in dentate gyrus follows a U-shaped function, with moderate, but not high or low, overlap between representations leading to differentiation of neural patterns.

A new python package standardises and simplifies how spatial behaviour and neural representations are modelled in continuous environments.

The present findings reveal that subjectively perceived similarities between objects, including those unique to individual observers, are reflected with highest fidelity at the apex of the ventral visual pathway in the medial temporal lobe.

Grid cells within an individual module show significantly more variability in grid properties than would be expected by chance, resulting in improved neural representation of animal location in the environment.

The human brain maintains a representation of latent task states within frontoparietal networks during the generalization of behaviors to novel settings.

A novel neural mechanism for precise, unbiased estimation of time intervals in the thalamus of electric fish is likely used for computing distance between object encounters.