David A. Benrimoh

A Bayesian account of generalist and specialist formation under the Active Inference framework

The paper uses Active Inference to simulate agents learning habit formation strategies in different environments, finding that specialization is advantageous in stable environments while generalization occurs in volatile ones.

Differential Treatment Benefit Prediction For Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data

The paper uses deep learning to predict differential treatment benefits for depression using STAR*D and CO-MED data, showing improved remission rates with model-guided treatment selection.

Hallucinations both in and out of context: An Active Inference Account

This paper extends a computational model of hallucinations to explain in- and out-of-context hallucinations using active inference principles.