

Ryan Smith ~ Active Inference Insights 013 ~ Wellbeing, Modelling, Precision
8 snips May 3, 2024
Neuro-computationalist Ryan Smith discusses empirical computational psychiatry, in-silico simulations, and the role of aberrant precision-weighting in neuropsychological disorders. The podcast delves into optimizing well-being through free energy, decision uncertainty in mental health conditions, exposure therapy, preferences in active inference models, emotional granularity, and future work in the field.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Introduction
00:00 • 2min
Optimizing Well-Being through Free Energy
01:43 • 25min
Analyzing Active Inference Models Against Human Behavior
26:32 • 11min
Exploring Decision Uncertainty and Avoidance Drives in Mental Health Conditions
37:15 • 7min
Exploring Exposure Therapy and Cognitive Interventions
43:51 • 8min
Exploring Preferences and Interceptive Inference in Active Inference Models
51:28 • 6min
Exploring Emotional Granularity and Policy Selection
57:51 • 29min
Concluding Discussions on Various Fields and Future Work
01:26:22 • 2min