Note: Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgements -- Prologue -- Chapter 1 Brains and Minds -- 1.1 The origin and growth of introspection -- 1.2 Artificial intelligence (AI) and cognition -- 1.3 Brain studies in the material world -- 1.4 Medicine, philosophy, and intentionality -- 1.5 The growth of modern neuroscience -- 1.6 Too many brain data with inadequate metaphysics -- 1.7 A fresh start based in nonlinear dynamics -- 1.8 Summary -- Chapter 2 Nerve Energy and Neuroactivity -- 2.1 Dynamics and Descartes -- 2.2 The reflex as an input-output relation -- 2.3 Nerve energy replaces vis nervorum -- 2.4 Fields of nerve energy -- 2.5 Information replaces nerve energy -- 2.6 Extension of brain theory to the quantum level -- 2.7 Neuropil, Neuroactivity, and the "new laws -- 2.8 Neuroactivity and neurodynamics -- 2.9 Summary -- Chapter 3 Sensation and Perception -- 3.1 Remarks on the use of dynamics -- 3.2 Input-output of neurons: Forward transmission -- 3.3 Neuron populations: Feedback transmission -- 3.4 Transfers of activity across hierarchical levels -- 3.5 Observation, analysis at the microscopic level -- 3.6 Observation, analysis at the macroscopic level -- 3.7 Distinguishing reception and perception -- 3.8 Neural mechanism of read-out of bulbar patterns -- 3.9 Modeling neural dynamics from pulses and EEGs -- 3.10 Basin-attractor theory -- 3.11 Implications of neurodynamics for solipsism -- 3.12 Summary -- Chapter 4 Intention and Movement -- 4.1 Brain architectures -- 4.2 The architecture of intention -- 4.3 Objective orientation in space and time -- 4.4 The limbic system -- 4.5 Subjective orientation in space and time -- 4.6 Reafference and motor control -- 4.7 The reticular formation and arousal -- 4.8 Communication between brains -- 4.9 Summary -- Chapter 5 Intentional Structure and Thought. , 5.1 Classification by multivariate statistics -- 5.2 Context dependence and pattern variability -- 5.3 Other aspects of Neuroactivity and behavior -- 5.4 Forced state transitions and cortical itinerancy -- 5.5 Neural activity patterns and representations -- 5.6 Continuous versus discrete operations: Graining -- 5.7 Thoughts and idols -- 5.8 Age, rigidity, and wisdom in brain function -- 5.9 Summary -- Chapter 6 Learning and Unlearning -- 6.1 Learning and self-organization -- 6.2 The neural basis for learning -- 6.3 Artificial neural networks and digital computers -- 6.4 Arousal, motivation, and reinforcement -- 6.5 Isolation, unlearning, and pair bonding -- 6.6 Conversion and social bonding -- 6.7 Function and malfunction in unlearning -- 6.8 Dance as the biotechnology of group formation -- 6.9 Summary -- Chapter 7 Self and Society -- 7.1 Consciousness -- 7.2 The self-organizing self -- 7.3 Self, reafference, and causality -- 7.4 The social utility of self and cause -- 7.5 The qualia of learning and unlearning -- 7.6 Spiritual leaders and psychedelic tourists -- 7.7 Summary -- Epilogue -- Notes -- 2.1 Information theory applied to arrays of neurons -- 2.2 Ecological maps of affordance and effectivity -- 2.3 The "quality of understanding" in Roger Penrose -- 2.4 Neural activity versus Neuroactivity -- 3.1 The theory of measurement in neurobiology -- 3.2 Peripheral versus central "codes -- 3.3 Quantitative relations between pulses and waves -- 3.4 Population pulse-wave relations: Sigmoid curve -- 3.5 Further comments on the binding hypothesis -- 3.6 Surgical, pharmacological analysis of olfaction -- 3.7 Macroscopic activity in multi-pulse recordings -- 3.8 Theories of olfaction: The utility of oscillation -- 3.9 Chaos, randomness, noise: Digital determinism -- 3.10 Anomalous dispersion : A means of phase locking. , 4.1 Neuropil in the forebrain of salamanders -- 4.2 Maclean's Triune Brain: Reason versus emotion -- 4.3 Engrams, local storage, and Wilder Penfield -- 4.4 Range contral in multisensory convergence -- 4.5 Sensory neglect, body image, phantom limb -- 4.6 Synesthesia: the complexity of cerebral cortex -- 4.7 "Deep structure": Chomsky versus Piaget -- 5.1 Three failed approaches to building brains -- 5.2 Stabilizing aperiodic cortical neural activity -- 5.3 Definitions of thought: Heidegger versus Piaget -- 6.1 An example of the value of music in society -- 7.1 A complement to the Turing test: Play games -- 7.2 Kinesthetics, 4-D geometry, and virtual reality -- 7.3 The madness of love: Shakespeare versus Plato -- References and Author Index -- Subject Index and Glossary.