Hanna Hillman

Temporal Indexing of Motor Memory

This study investigates how temporal intervals act as contextual cues for retrieving distinct motor memories, showing that elapsed time can be used to index and generalize motor adaptations.

Linking Motor Working Memory to Explicit and Implicit Motor Learning

The paper investigates how motor working memory (MWM) contributes to explicit and implicit motor learning by testing correlations between effector-independent and effector-specific MWM and learning outcomes.

Think Like an Expert: Neural Alignment Predicts Understanding in Students Taking an Introduction to Computer Science Course

This study introduces a neural measure called neural alignment to predict learning outcomes by comparing students' brain activity to experts and peers in a computer science course.

Narratives: fMRI data for evaluating models of naturalistic language comprehension

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

Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space

This paper develops a connectivity-based shared response model to aggregate heterogeneous fMRI datasets into a common response space, improving between-subject classification and semantic encoding performance.