Federico Stella

The paper shows that direct entorhinal input is crucial for CA1 remapping in novel environments, enabling spatial map reorganization.

This study inhibits direct entorhinal inputs to CA1 and finds that theta phase precession is abolished but theta sequences are strengthened, suggesting entorhinal inputs drive learning rather than sequence generation.

The paper tracks hippocampal reactivation patterns during sleep and finds that REM and NREM sleep have opposing effects on the reorganization of spatial assemblies.

The paper investigates hippocampal memory maturation in rat pups, finding a sharp transition in spatial working memory and task-specific CA1 representations.

This paper introduces a multivariate analytical framework to study how hippocampal oscillations co-vary and influence neuronal firing during sleep and wakefulness, revealing species-specific network constraints and cross-frequency interactions.

The paper analyzes the heterogeneity of theta sequences and phase precession in CA1 neurons, showing distinct patterns in different cell groups under varying gamma oscillation conditions.

The paper shows that during hippocampal ripples, up-states and spindles co-occur in the retrosplenial cortex and predict CA1 slow gamma oscillations, suggesting a role in memory consolidation.

This study investigates cortico-hippocampal interactions during sleep using voltage imaging and electrocorticography, finding bidirectional exchanges mediated by hippocampal slow gamma and ripples.

The paper analyzes mice navigation in a HexMaze to reveal how structured knowledge influences behavior, finding a combination of goal-oriented and random components in their strategies.

The paper predicts how grid cell activity patterns change on spherical environments compared to flat ones, finding partial coherence and clustering similar to disordered materials.

The paper investigates how feedback inhibition from Martinotti interneurons maintains head direction signals in the mouse presubiculum through synaptic interactions and network dynamics.

The paper shows that rodents raised in hyperbolic environments could develop hyperbolic grid cell patterns, suggesting a flexible neuronal metric beyond Euclidean space.