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Preface.- What is consciousness?- The Global Neuronal Workspace model. An introduction to information theory. The Shannon Coding Theorem. More heuristics: a 'tuning theorem'. The Shannon-McMillan Theorem. The Rate Distortion Theorem. Large deviations.- Fluctuations. The fundamental homology with statistical physics. Cognition as generalized language.- Theory. Two neural network examples. Interacting cognitive modules.- Representations. Language-on-a-network models. 'Biological' phase transitions. Universality class distribution. Universality class tuning. More on behavior far from the critical point. Extending the model. The simplest tunable retina. Tuning the visual retina. The torus and the sphere. Expanding the workspace. Energy efficiency and consciousness. Where does all this lead? Sociocultural context as selection pressure. Auognitive developmental disorder. Toward a 'General Cognitive Model'. Evading the mereological fallacy.- References. Appendix on coarse graining.
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Add Consciousness : A Mathematical Treatment of the Neuronal Workspace Model, This book makes formal, detailed, application of what Adams has described as 'the informational turn in philosophy' to the global neuronal workspace (GNW) model of consciousness. It uses an extended statistical model of cognitive process, based on the Sha, Consciousness : A Mathematical Treatment of the Neuronal Workspace Model to the inventory that you are selling on WonderClubX
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Add Consciousness : A Mathematical Treatment of the Neuronal Workspace Model, This book makes formal, detailed, application of what Adams has described as 'the informational turn in philosophy' to the global neuronal workspace (GNW) model of consciousness. It uses an extended statistical model of cognitive process, based on the Sha, Consciousness : A Mathematical Treatment of the Neuronal Workspace Model to your collection on WonderClub |