Rick A. Adams

The paper evaluates four E/I balance metrics using field potential recordings from rat and mouse brain regions, finding broadband and high gamma power consistently correlate with E/I.

This paper introduces a canonical microcircuit model to estimate E/I balance from non-invasive M/EEG recordings and shows its relevance to schizophrenia biomarkers.

This study investigates whether biological mechanisms of schizophrenia, such as dysconnectivity and E/I imbalance, are present in individuals with high schizotypy, supporting a psychosis-continuum hypothesis.

This study investigates semantic structure and retrieval impairments in schizophrenia using word association tasks and MEG, finding idiosyncrasy in semantic representations among patients with speech disorganization.

The paper identifies cortical abnormalities linked to psychopathological dimensions in preadolescents using normative models and latent class analysis.

This paper develops a novel paradigm to study infant decision-making and applies computational models to identify subtypes with distinct cognitive profiles.

The paper proposes finite retrospective inference as a bounded rationality approach to improve inference and learning by limiting the number of past states considered.

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

The paper identifies two modes of brain-behavior covariation in adolescents and young adults using canonical correlation analysis, linking brain connectivity to psychometric, IQ, and demographic data.