The Brain as a Bayesian Machine: From Computational Cognitive Neuroscience to Psychotherapy Read Article 2. Exposure as Bayesian Learning: How New Experience Changes the Brain’s Predictions of Danger 3. The Invisible Obstacles to Exposure: Attention, Covert Safety Behaviors, and Reassurance
The Brain as a Bayesian Machine: From Computational Cognitive Neuroscience to Psychotherapy Read Article 1: The Brain as a “Bayesian Machine”: Uncertainty, Prediction, and the Illusion of Control 2. Exposure as Bayesian Learning: How New Experience Changes the Brain’s Predictions
I have just published my new book, The Predictive Intelligence: How Brains, Leaders, and Teams Navigate Uncertainty. The book emerged at the crossroads of neuroscience, psychology, organizational psychology, artificial intelligence, uncertainty, and adaptation. Its central question is simple but increasingly
The Brain as a Bayesian Machine: From Computational Cognitive Neuroscience to Psychotherapy 1. The Brain as a “Bayesian Machine”: Uncertainty, Prediction, and the Illusion of Control 1.1. The Bayesian approach at the intersection of cognitive neuroscience, clinical psychology, and cognitive
There is a widespread assumption that the formation of new knowledge in the brain involves the creation of new synaptic connections. This certainly does occur, but acquiring new knowledge does not always necessarily mean forming new synapses. Learning often begins