Sharon L. Thompson‐Schill

Neural Dynamics During the Generation and Evaluation of Creative and Non-Creative Ideas

This study examines neural dynamics during the generation and evaluation of creative and non-creative ideas using functional MRI and network neuroscience methods, finding higher network reconfiguration during creative idea generation.

Rapid learning of temporal dependencies at multiple timescales

This study investigates how humans and a model learn temporal patterns at multiple timescales through a game-based paradigm, finding stronger learning for short timescales.

Disruption of anterior temporal lobe reduces distortions in memory from category knowledge

This study shows that disrupting the anterior temporal lobe reduces memory distortion caused by category knowledge, but not error in recalling specific details.

Dissociable Multi-scale Patterns of Development in Personalized Brain Networks

The paper analyzes multi-scale functional brain networks in youths to identify developmental patterns of network re-organization and their cognitive implications.

Tracking the relation between gist and item memory over the course of long term memory consolidation

This study investigates how gist and item memory change over time, finding that gist memory persists and influences item memory, with biases shifting based on item regularities.

Learning differentially reorganizes brain activity and connectivity

This study investigates how brain activity and connectivity reorganize during learning, finding distinct patterns in early and later stages of value learning.

Transformation of event representations along middle temporal gyrus

The paper investigates how event representations transform along the middle temporal gyrus, showing a shift from perceptual to relational coding along the posterior-anterior axis.

Individual differences in response precision correlate with adaptation bias

The paper examines how individual differences in response precision correlate with adaptation bias in perceptual tasks using a Bayesian framework.

Subgraphs of functional brain networks identify dynamical constraints of cognitive control

The paper identifies cognitive control subgraphs in brain networks using fMRI data and shows their temporal expression relates to cognitive demands and task performance.

Process reveals structure: How a network is traversed mediates expectations about its architecture

The paper shows that temporal structure in network traversal affects how well learners infer network architecture.