Latent Cause Inference as a Fundamental Cognitive Process
This project investigates the relationship between individual differences in latent cause inference and mental health symptoms, as well as the brain circuitry involved in creating and reusing latent causes.
Lead Investigators: Yael Niv, Nathaniel Daw and Andrew Westbrook
Latent-Cause Inference in Compulsion
This project explores a new interpretation of compulsive disorders (e.g., obsessive-compulsive disorder and substance use disorder) as resulting from over-splitting of latent causes, that resist updating.
Lead Investigators: David Zald, Nathaniel Daw and Anna Konova
Latent Cause Inference in Anxiety
This project examines how the interaction between latent cause inference and memory contribute to anxiety disorders.
Lead Investigators: Kenneth Norman, Yael Niv and Avram Holmes
Neural Mechanisms Underlying Latent Cause Inference
This project probes the neural mechanisms of latent cause inference in rodents using high-density neuronal recordings and chemogenetic manipulations.
Lead Investigators: Ilana Witten and Gary Aston-Jones
Behavioral Testing and Clinical Assessment
This core provides infrastructure for running large online behavioral studies, develop high-throughput recruiting and diagnostic interviewing of psychiatric samples in our clinical research center, and standardize tasks and clinical assessments across projects.
Lead Investigators: Anna Konova and Yael Niv
Computational Modeling
This core develops a shared latent cause inference model for all projects, and provide efficient model fitting and computational analysis tools for analyzing data from different sources (e.g., clinical and behavioral data).
Lead Investigators: Nathaniel Daw and Jonathan Cohen
Neuroimaging
This core optimizes sequences for high-resolution imaging of regions of interest, and harmonize data collection and analysis pipelines across the two imaging sites (Princeton Scully Center and Rutgers CAHBIR).
Lead Investigators: David Zald, Kenneth Norman and Avram Holmes
