Thomas P. Trappenberg

This study uses a computational model of the dentate gyrus to show that lithium therapy improves pattern separation in bipolar disorder patients only by normalizing spontaneous activity, not by reducing cell excitability.

This paper uses a computational model of the hippocampal CA3 to show that excitability variance in pyramidal cells impairs pattern completion in lithium nonresponsive bipolar disorder patients.

This study uses convolutional neural networks to classify MEG data from cued button pressing and identifies key features influencing classification.

This study examines the relationship between symptom severity and model-based (MB) and model-free (MF) control in bulimia nervosa (BN), finding impaired MF control distinguishes BN from other groups.