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  • 1
    Keywords: Medicine ; Neurosciences ; Computer science ; Neurobiology ; Biomedicine ; Neurosciences ; Computation by Abstract Devices ; Neurobiology ; Signal, Image and Speech Processing ; Springer eBooks
    Pages: : digital
    ISBN: 9781441914521
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  • 2
    Keywords: Medicine ; Neurosciences ; Systems engineering ; Consciousness ; Biomedicine ; Neurosciences ; Circuits and Systems ; Cognitive Psychology ; Circuits and Systems ; Springer eBooks
    Description / Table of Contents: Preface -- 1. Brain Structure -- 2. Brain Architecture For An Intelligent Stream Of Consciousness -- 3. Circuit Elements Required For Neural Systems -- 4. Long Term Memory, Simulated Qubits, Physical Qubits -- 5. Outline of a Cue Editor -- 6. Plans For A Recall Referee -- 7. Arithmetic Using Simulated Qubits -- 8. Long Term Memory Neural Circuits, Fast And Precise -- 9. Neuroquantology, The Ultimate Quest -- 10. The Phase Of The "1" -- Post Script -- Appendix 1 -- Appendix 2 -- Listing Of Sample WinSpice Code
    Abstract: Brain Theory From A Circuits And Systems Perspective offers a theory of human consciousness as a natural result of pulsating neurons and synapses within a complex circuit. The book summarizes the electrical, as opposed to the chemical, nature of a brain, and so moves away from customary molecular biology- and biochemistry-focused explanations for consciousness.℗ The book goes beyond the usual structures of artificial neural networks; employing first principles, a particular physical system is synthesized for conscious short term memory, as well as for associative (subconsciously edited) long term memory.℗ It pursues the search for deeper computational power:℗ Where ordinary concepts of logic fail to explain inspired choices concerning artistic appraisal, truth judgment, and understanding, pulsating qubit logic unleashes a fresh avenue for connectivity. Neuroquantology is discussed,℗ including electron tunneling as a regulator of neural actions, and proposed quantum computing within microtubules.℗ This thought provoking work led the author to reveal neurons with qubit properties, or simulated qubits.℗ Simulated qubits do not require a coherent quantum system, and so remain robust for massively parallel controlled toggling and probabilistic computations. Brain Theory From A Circuits And Systems Perspective is supported with physical circuit examples, end-of-chapter exercises, and neuron simulation experiments, and will be valuable to anyone interested in neuro-circuits, neuro-systems and qubits
    Pages: : digital.
    ISBN: 9781461464129
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  • 3
    Keywords: Medicine ; Neurosciences ; Computer science ; Artificial intelligence ; Biomedicine ; Neurosciences ; Computation by Abstract Devices ; Artificial Intelligence (incl. Robotics) ; Springer eBooks
    Pages: : digital
    ISBN: 9781461407249
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  • 4
    Keywords: Medicine ; Neurosciences ; Neurochemistry ; Computer network architectures ; Psychology, clinical ; Biomedicine ; Biomedicine general ; Neuropsychology ; Neurosciences ; Neurochemistry ; Computer Systems Organization and Communication Networks ; Springer eBooks
    Description / Table of Contents: The nature of scientific understanding -- Higher Cognition -- Brain Anatomy -- Neuron Physiology -- Intracellular message chains -- Major Anatomical Structures -- Constraints on the physical architecture of the brain -- Appearance of architectural constraints in the brain -- Memory and the organisation of experience -- Attention and working memory -- Understanding complex cognitive phenomena.-℗ Towards a Theoretical Neuroscience
    Abstract: An effective theoretical neuroscience must deliver an accurate, comprehensible and intuitively satisfying understanding of higher cognition in terms of anatomy, neuron physiology and neurochemistry. Massive simulations of assemblies of relatively realistic neurons do not necessarily contribute to understanding, because such simulations can be just one more complex system that is not understood in any satisfying way. Collection of extensive data on the connectivity of the brain may also contribute little to understanding in the absence of an effective theoretical framework. Beginning in the 1980s, some extremely complex electronic systems have been created. Each such system required thousands of man years of design effort and utilises many billions of transistors. These systems are understood by human beings. Although there are minimal direct resemblances between such electronic systems and the brain, the techniques for achieving electronic system understanding can be adapted to create the framework for an effective neuroscience. This book describes how these techniques are applied to understanding the brain. From 1969 to 1999 the author worked on many aspects of the design and manufacturing of complex electronic systems. Since 1982, he has been active in the creation of a theoretical neuroscience framework. The book covers the following areas: -The nature of scientific understanding and ways to achieve it -Key topics in psychology, neuroanatomy, neurophysiology and neurochemistry -Theoretical constraints on brain architecture and appearance of those constraints in the human brain -How the architectural constraints make it possible to map between descriptions of brain activity on different levels of detail -Understanding of attention, semantic and episodic memory, procedural and working memory in terms of anatomy, neuron physiology and neurochemistry -Understanding of complex cognitive phenomena including speech, prospective memory, consciousness and self awareness
    Pages: XX, 443 p. 130 illus., 28 illus. in color. : online resource.
    ISBN: 9789400771079
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  • 5
    Keywords: Medicine ; Neurosciences ; Neurology ; Artificial intelligence ; Algebra ; Applied psychology ; Biomedicine ; Neurosciences ; Category Theory, Homological Algebra ; Philosophy ; Neurology ; Artificial Intelligence (incl. Robotics) ; Biological Psychology ; Springer eBooks
    Description / Table of Contents: Preface -- Research tools and paradigms -- State of the Art: Mathematical approaches in brain science -- The Categorical Imperative: Category theory in Cognitive and Brain Science -- Elementary principles in cognitive systems modeling -- The shift towards structure -- A general framework for representation -- Towards a Theory of Brain Structure and Function -- A theory of hippocampus structure and function based on Category Theory -- From Cells to Memories. A Categorical Approach -- Epilogue
    Abstract: The purpose of the book is to advance in the understanding of brain function by defining a general framework for representation based on category theory. The idea is to bring this mathematical formalism into the domain of neural representation of physical spaces, setting the basis for a theory of mental representation, able to relate empirical findings, uniting them into a sound theoretical corpus. The innovative approach presented in the book provides a horizon of interdisciplinary collaboration that aims to set up a common agenda that synthesizes mathematical formalization and empirical procedures in a systemic way. Category theory has been successfully applied to qualitative analysis, mainly in theoretical computer science to deal with programming language semantics. Nevertheless, the potential of category theoretic tools for quantitative analysis of networks has not been tackled so far. Statistical methods to investigate graph structure typically rely on network parameters. Category theory can be seen as an abstraction of graph theory. Thus, new categorical properties can be added into network analysis and graph theoretic constructs can be accordingly extended in more fundamental basis. By generalizing networks using category theory we can address questions and elaborate answers in a more fundamental way without waiving graph theoretic tools. The vital issue is to establish a new framework for quantitative analysis of networks using the theory of categories, in which computational neuroscientists and network theorists may tackle in more efficient ways the dynamics of brain cognitive networks. The intended audience of the book is researchers who wish to explore thevalidity of mathematical principles in the understanding of cognitive systems. All the actors in cognitive science: philosophers, engineers, neurobiologists, cognitive psychologists, computer scientists etc. are akin to discover along its pages new unforeseen connections through the development of concepts and formal theories described in the book. Practitioners of both pure and applied mathematics e.g., network theorists, will be delighted with the mapping of abstract mathematical concepts in the terra incognita of cognition
    Pages: XXIII, 193 p. 73 illus., 40 illus. in color. : online resource.
    ISBN: 9789400777385
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  • 6
    Keywords: Medicine ; Neurosciences ; Artificial intelligence ; Biomedicine ; Biomedicine general ; Neurosciences ; Nanoscale Science and Technology ; Artificial Intelligence (incl. Robotics) ; Mathematical Models of Cognitive Processes and Neural Networks ; Springer eBooks
    Pages: : digital.
    ISBN: 9789400744912
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  • 7
    Keywords: Medicine ; Neurosciences ; Philosophy of mind ; Computer Simulation ; Evolution (Biology) ; Mathematics ; Biomedicine ; Neurosciences ; Evolutionary Biology ; Simulation and Modeling ; Philosophy of mind ; Popular Science in Mathematics/Computer Science/Natural Science/Technology ; Mathematical Models of Cognitive Processes and Neural Networks ; Springer eBooks
    Description / Table of Contents: Preface -- The Story of Consciousness -- The Search for Consciousness in the Brain -- Attention and Consciousness: Fused or Independent? -- Past & Current Neural Models of Consciousness -- The Control Nature of Attention -- The Full CODAM Model -- The Owner and CODAM -- Does I Really Exist? -- Does the Corollary Discharge of Attention Exist? -- Understanding Mental Diseases -- The Escape from Life through Meditation.-℗ The Evolution of Human Consciousness -- Animal Consciousness -- Understanding Consciousness and Emotions -- Solving the Mind-Body Problem through CODAM -- Is there Free Will in CODAM? -- Beyond Consciousness?
    Abstract: This book details a model of consciousness supported by scientific experimental data from the human brain. It presents how the Corollary Discharge of Attention Movement (CODAM) neural network model allows for a scientific understanding of consciousness as well as provides a solution to the Mind-Body problem. The book provides readers with a general approach to consciousness that is powerful enough to lead to the inner self and its ramifications for the vast range of human experiences. It also offers an approach to the evolution of human consciousness and features chapters on mental disease (especially schizophrenia) and on meditative states (including drug-induced states of mind). Solving the Mind-Body Problem bridges the gap that exists between philosophers of mind and the neuroscience community, allowing the enormous weight of theorizing on the nature of mind to be brought to earth and put under the probing gaze of the scientific facts of life and mind
    Pages: XX, 273 p. 28 illus., 16 illus. in color. : online resource.
    ISBN: 9789400776456
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  • 8
    Keywords: Medicine ; Neurosciences ; Computer science ; Neurobiology ; Biomedicine ; Neurosciences ; Computation by Abstract Devices ; Neurobiology ; Springer eBooks
    Pages: : digital
    ISBN: 9781441988041
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