Special Topics
Computational Psychiatry Tutorials
A guided path through the computational models behind psychosis care: how the brain predicts, where prediction fails, and which treatments target each mechanism.
Foundations
Start with the core model
Computational Psychiatry: the founding framework
The Bayesian brain, precision weighting, and aberrant salience, built from the bottom up. Start here.
Open tutorial →Genesis of Psychosis
How prediction errors, priors, and belief updating give rise to delusion formation, with an interactive beads task.
Open tutorial →Mechanisms
How specific mechanisms fail
Jumping to Conclusions
The hasty data-gathering bias: how limited evidence sampling produces overconfident conclusions, and how it is measured.
Open tutorial →Restoring Agency in Schizophrenia
Corollary discharge, N1 suppression, and intentional binding: how self-authorship collapses and how it is rebuilt.
Open tutorial →Dysexecutive Syndrome (DES)
The supervisory attentional system explained, with a simulator showing how executive control breaks down.
Open tutorial →Computational Psychiatry of Delusions
Bayesian inference, predictive coding, and hierarchical psychopathology behind fixed false beliefs.
Open tutorial →Auditory Verbal Hallucinations
Why voices feel external: strong priors, weak sensory precision, and failures of self-monitoring.
Open tutorial →Formal Thought Disorder
Semantic network dynamics, speech graph metrics, and the computational signatures of disorganized thought.
Open tutorial →The Architecture of Referential Ideation
Ideas versus delusions of reference: aberrant precision, pseudo-social inference, and drift-diffusion dynamics.
Open tutorial →Loss of Agency in Schizophrenia
Efference copy, sensory attenuation, and how the feeling and judgment of agency come apart under active inference.
Open tutorial →Anhedonia & Apathy
Reinforcement learning, effort-based decision making, average reward rate, and vigor: deconstructing negative symptoms.
Open tutorial →Pareidolia & Pseudohallucinations
Hyper-precise priors, neuromodulatory gain, and reality monitoring: why ambiguous noise becomes faces and voices.
Open tutorial →Computational Psychiatry of Cognitive Biases
Jumping to conclusions, bias against disconfirmatory evidence, and confirmation bias modeled computationally.
Open tutorial →Applied
From theory to treatment
AI-Associated Psychosis
How generative AI acts on pre-existing vulnerability: aberrant salience, circular inference, hypermentalizing.
Open tutorial →Architecture of Cannabis-Induced Psychosis
How cannabinoid signaling perturbs precision weighting and dopaminergic salience along the path to psychosis.
Open tutorial →Metacognitive Training (MCT)
Turning computational insight into treatment: targeting overconfidence in errors and hasty causal attribution.
Open tutorial →Schizophrenia Simulations
Interactive simulations that make altered perception, salience, and thought disturbance experientially concrete.
Open tutorial →Amphetamine-Induced Psychosis
Dopamine sensitization, precision weighting, dose thresholds, and transition to schizophrenia.
Open tutorial →