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Full Description
This book brings together perspectives on predictive processing and expected experience. It features contributions from an interdisciplinary group of authors specializing in philosophy, psychology, cognitive science, and neuroscience.
Predictive processing, or predictive coding, is the theory that the brain constantly minimizes the error of its predictions based on the sensory input it receives from the world. This process of prediction error minimization has numerous implications for different forms of conscious and perceptual experience. The chapters in this volume explore these implications and various phenomena related to them. The contributors tackle issues related to precision estimation, sensory prediction, probabilistic perception, and attention, as well as the role predictive processing plays in emotion, action, psychotic experience, anosognosia, and gut complex.
Expected Experiences will be of interest to scholars and advanced students in philosophy, psychology, and cognitive science working on issues related to predictive processing and coding.
Contents
Introduction: Mind and World, Predictive Style Tony Cheng, Ryoji Sato, and Jakob Hohwy Part 1: Varieties of Experiences 1. Deep Neurophenomenology: An Active Inference Account of Some Features of Conscious Experience and of Their Disturbance in Major Depressive Disorder Maxwell J. D. Ramstead, Wanja Wiese, Mark Miller, and Karl J. Friston 2. Expectancies and the Generation of Perceptual Experience: Predictive Processing and Phenomenological Control Peter Lush, Zoltan Dienes, and Anil Seth 3. The Synergistic Relationship between Perception and Action Clare Press, Emily Thomas, and Daniel Yon 4. Perceptual Uncertainty, Clarity, and Attention Jonna Vance 5. Predictive Processing and Object Recognition Berit Brogaard and Thomas Alrik Sørensen 6. Predicting First Person and Counterfactual Experiences of Selfhood: Insights from Anosognosia Aikaterini Fotopoulou and Sahba Besharati 7. Predictive Processing in the Second Brain: From Gut Complex to Meta-Awareness Tony Cheng, Lynn Chiu, Linus Huang, Ying-Tung Lin, Hsing-Hao Lee, Yi-Chuan Chen, and Su-Ling Yeh Part 2: Related Theoretical Issues Concerning Bayesian Probability 8. Neural Implementation of (Approximate) Bayesian Inference Michael Rescorla 9. Realism and Instrumentalism in Bayesian Cognitive Science Danielle Jeanenne Williams and Zoe Drayson 10. Bayesian Psychiatry and the Social Focus of Delusions Daniel Williams and Marcella Montagnese 11. Higher-Order Bayesian Statistical Decision Theory of Consciousness, Probabilistic Justification, and Predictive Processing Tony Cheng
