Eduardo A. Aponte

The paper uses a computational model to show that GABAergic enhancement improves conflict adaptation but impairs response inhibition in cognitive tasks.

This paper introduces thermodynamic integration for Bayesian model selection and averaging in dynamic causal models, demonstrating its feasibility with efficient implementation and parallel processing.

TAPAS provides open-source tools for computational assays in psychiatry to support differential diagnosis and treatment prediction through end-to-end pipelines.

This study examines how subthalamic deep brain stimulation (STN-DBS) affects impulsivity and subjective uncertainty estimates in Parkinson’s disease patients through gambling behavior analysis.

This paper introduces thermodynamic integration for dynamic causal modeling, showing it provides more robust log evidence estimates than variational Bayes in complex models.

This study investigates how task design affects antisaccade errors, finding that both inhibition failures and inaccurate voluntary action initiation contribute to errors in both asynchronous and synchronous cue conditions.

The paper introduces the SERIA model to explain antisaccade task errors and reaction times, showing it outperforms existing models by incorporating a late decision process.