I’m giving a talk at the 10th International Workshop on Computational Psychiatry on May 9 in Munich, Germany. The theme this year is “Omics of Schizophrenia — A Systemic Multi-level View”. My talk is titled “Computational psychiatry and cognitive deficits in schizophrenia”. My abstract is below:
Excitation–inhibition balance is a fundamental property of cortical circuits, and disruption of E/I balance is linked to the pathophysiology of schizophrenia. I will present studies in which my collaborators and I have integrated experiment with biophysically-based computational modeling, to explore the neural and behavioral consequences of cortical disinhibition. Neural circuit models allowed us to bridge across levels of analysis, from synaptic pharmacology, to large-scale neural dynamics during task and rest, to cognitive behavior during working memory. In each study we directly linked model predictions to experimental data from patients with schizophrenia or healthy humans under administration of ketamine, a pharmacological model of schizophrenia. Thus, biophysically-based modeling highlights the importance of E/I balance in cortical networks, and provides a framework for integrating experiment and theory within computational neuropsychiatry.