Cristian Buc Calderon

The paper investigates the testing effect using fMRI and computational models, finding that testing enhances memory through predictive learning mechanisms involving reward-related brain areas.

This paper develops a basal ganglia-thalamo-cortical circuit model of adaptive learning that explains behavioral data and predicts brain region roles in complex learning.

The paper introduces the ACDC model, which learns and flexibly applies spatiotemporal sequences in different rhythms, demonstrating its ability to adapt tempo and rhythm without retraining.

This study shows that reward prediction errors in the ventral striatum predict episodic memory strength and that functional connectivity between brain regions increases with RPE value during learning.

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.