Christopher A. Baldassano

The paper examines how hippocampal and cortical oscillations support memory encoding during continuous movie watching by analyzing temporal patterns of power, synchrony, and phase alignment.

The paper shows that the hippocampus rapidly integrates sequence representations during novel multistep predictions, enhancing future prediction accuracy.

The paper investigates how the brain forms connections between new information and existing schemas using the Method of Loci, finding that default mode network regions create conjunctive representations that evolve with expertise.

The paper examines how repeated viewing of film clips alters brain representations of events, finding some regions show more detailed or generalized representations with familiarity.

The paper shows that gaze behavior and neural activity during memory recall of narrative events follow similar principles and are linked in their reinstatement.

The paper investigates how music-evoked reactivation in the default mode network during film viewing relates to improved recall of naturalistic events the next day.

The paper examines ripple-like activity during movie-watching in epilepsy patients, showing differential patterns in hippocampus and cortex related to event boundaries and memory encoding.

The paper shows that reliable neural representations of spatial contexts predict better memory for associated objects.

This study shows the brain represents past and future events hierarchically during anticipation, with graded representations in the hippocampus and visual regions.

The paper examines how past and current caregiving experiences affect prefrontal connectivity and recall of attachment-schema narratives in children.

The paper shows that brain activity along the temporoparietal axis reflects transitions between music-evoked emotions and is sensitive to emotional context.

This paper investigates event segmentation in infants using fMRI and a hidden Markov model, finding that infants represent longer events with no timescale hierarchy, unlike adults.

This study examines how brain responses to narrative movies change with age using fMRI data from children and adolescents, finding age-related shifts in neocortical responses and decreased hippocampal responses to event boundaries.

The paper uses fMRI and hidden Markov models to show that brain regions involved in narrative event segmentation also represent high-level event structure in music.

The paper introduces a new spatial covariance function for fMRI data called the brain kernel, which captures non-stationary spatial correlations and improves decoding and factor analysis.

The paper shows that repeated viewing of a movie clip leads to neural anticipation of events, with more anticipation in anterior brain regions compared to posterior ones.

The paper introduces a benchmark dataset of fMRI data from human subjects listening to naturalistic stories for evaluating language and narrative comprehension models.

This paper introduces fmrisim, a Python package for simulating realistic fMRI data, validated to match real noise properties and used to optimize experimental design and pre-registration.

The paper investigates how event boundaries in a movie trigger memory reinstatement and identifies an N400-like ERP component associated with context shifts.

The paper uses fMRI to show that brain regions represent schematic event structures in naturalistic narratives, generalizing across stories and modalities.

The paper assesses how functional and deep neural network features contribute to scene representation in human brain and behavior, finding distinct roles for each in explaining similarity in behavior and neural responses.

The paper investigates how cortical structures generate and retrieve event representations during continuous narratives, revealing event boundaries and their neural correlates.