{"product_id":"human-memory-modeled-with-standard-analog-and-digital-circuits-9780470424353","title":"Human Memory Modeled with Standard Analog and Digital Circuits","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eGain a new perspective on how the brain works and inspires new avenues for design in computer science and engineering\u003c\/b\u003e  \u003cp\u003eThis unique book is the first of its kind to introduce human memory and basic cognition in terms of physical circuits, beginning with the possibilities of ferroelectric behavior of neural membranes, moving to the logical properties of neural pulses recognized as solitons, and finally exploring the architecture of cognition itself. It encourages invention via the methodical study of brain theory, including electrically reversible neurons, neural networks, associative memory systems within the brain, neural state machines within associative memory, and reversible computers in general. These models use standard analog and digital circuits that, in contrast to models that include non-physical components, may be applied directly toward the goal of constructing a machine with artificial intelligence based on patterns of the brain.\u003c\/p\u003e \u003cp\u003eWriting from the circuits a\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePREFACE.\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003e\u003cb\u003e1 BRAIN BEHAVIOR POINTS THE WAY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eModeling.\u003c\/p\u003e \u003cp\u003eUses of models.\u003c\/p\u003e \u003cp\u003eWhy Thinking Dissipates So Few Calories?\u003c\/p\u003e \u003cp\u003eThe Miracle of Parallel Processing.\u003c\/p\u003e \u003cp\u003eSingularity.\u003c\/p\u003e \u003cp\u003eThe Benefits of Reading This Book.\u003c\/p\u003e \u003cp\u003eOverview of the Book.\u003c\/p\u003e \u003cp\u003eApplications of the Models in the Book.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 NEURAL MEMBRANES AND ANIMAL ELECTRICITY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eThe Physical Neuron.\u003c\/p\u003e \u003cp\u003eIonic Solutions and Stray Electrons.\u003c\/p\u003e \u003cp\u003eNernst Voltage.\u003c\/p\u003e \u003cp\u003eIon-Channel Model.\u003c\/p\u003e \u003cp\u003eApplications.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 NEURAL PULSES AND NEURAL MEMORY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eDerivation of a Neural Pulse Using Basic Physics.\u003c\/p\u003e \u003cp\u003eNeuron Signal Propagation.\u003c\/p\u003e \u003cp\u003eModeling Neurons as Adiabatic.\u003c\/p\u003e \u003cp\u003eNeurons for Memory.\u003c\/p\u003e \u003cp\u003eApplications.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eAppendix: Asymptotically Adiabatic Circuits.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 CIRCUITS AND SYSTEMS FOR MEMORIZATION AND RECALL.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003ePsychological Considerations When Modeling Human Memory.\u003c\/p\u003e \u003cp\u003eBasic Assumptions to Create A Model.\u003c\/p\u003e \u003cp\u003eShort-Term Memory and Consciousness.\u003c\/p\u003e \u003cp\u003eCognitive Architecture.\u003c\/p\u003e \u003cp\u003eDiscussion of the Model.\u003c\/p\u003e \u003cp\u003eEnable Neural Logic.\u003c\/p\u003e \u003cp\u003eModels for Memorization.\u003c\/p\u003e \u003cp\u003eApplications.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 DENDRITIC PROCESSING AND HUMAN LEARNING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eBiological Versus Artificial Neural Networks.\u003c\/p\u003e \u003cp\u003eDendrites\u003c\/p\u003e \u003cp\u003eNeurons for Combinational Learning.\u003c\/p\u003e \u003cp\u003eNeurons for State-Machine Learning.\u003c\/p\u003e \u003cp\u003eLearning Circuits.\u003c\/p\u003e \u003cp\u003eDendritic Processing Models.\u003c\/p\u003e \u003cp\u003eEnabled Logic Directly at the Soma.\u003c\/p\u003e \u003cp\u003eComments on the Adiabatic Nature of Dendrites.\u003c\/p\u003e \u003cp\u003eApplications.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eAppendix: Circuit Simulations of Neural Soliton Propagation.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 ARTIFICIAL LEARNING IN ARTIFICIAL NEURAL NETWORKS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eArtificial Neurons.\u003c\/p\u003e \u003cp\u003eArtificial Learning Methods.\u003c\/p\u003e \u003cp\u003eDiscussion of Learning Methods.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 THE ASSET OF REVERSIBILITY IN HUMANS AND MACHINES.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eSavants.\u003c\/p\u003e \u003cp\u003eNeural Models that Explain Savants.\u003c\/p\u003e \u003cp\u003eParallel Processing and the Savant Brain.\u003c\/p\u003e \u003cp\u003eComputational Possibilities Using Conditional Toggle Memory.\u003c\/p\u003e \u003cp\u003eThe Cost of Computation.\u003c\/p\u003e \u003cp\u003eReversible Programming.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003eAppendix: Split-Level Charge Recovery Logic.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 ELECTRICALLY REVERSIBLE NANOPROCESSORS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eA Gauge for Classical Parallelism.\u003c\/p\u003e \u003cp\u003eDesign Rules for Electrical Reversibility.\u003c\/p\u003e \u003cp\u003eReversible System Architecture.\u003c\/p\u003e \u003cp\u003eArchitecture for Self-Analyzing Memory Words.\u003c\/p\u003e \u003cp\u003eElectrically Reversible Toggle Circuit.\u003c\/p\u003e \u003cp\u003eReversible Addition Programming Example.\u003c\/p\u003e \u003cp\u003eReversible Subtraction Programming Example.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 MULTIPLICATION, DIVISION, AND HAMILTONIAN CIRCUITS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eUnsigned Multiplication.\u003c\/p\u003e \u003cp\u003eRestoring Division.\u003c\/p\u003e \u003cp\u003eSolving Hard Problems.\u003c\/p\u003e \u003cp\u003eHamiltonian Circuits.\u003c\/p\u003e \u003cp\u003eThe Initialization of Toggle Memory in Nanoprocessors.\u003c\/p\u003e \u003cp\u003eLogically Reversible Programming Using Nanobrains.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 QUANTUM VERSUS CLASSICAL COMPUTING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003ePhysical Qubits.\u003c\/p\u003e \u003cp\u003eQuantum Boolean Functions.\u003c\/p\u003e \u003cp\u003eQuantum Computer Programming.\u003c\/p\u003e \u003cp\u003eHistorical Quantum Computing Algorithms.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX A HUMAN BRAIN ANATOMY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eComponents of a Brain.\u003c\/p\u003e \u003cp\u003eForebrain Structure.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX B THE PSYCHOLOGICAL SCIENCE OF MEMORY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eShort-Term Memory.\u003c\/p\u003e \u003cp\u003eLong-Term Memory.\u003c\/p\u003e \u003cp\u003eStudies in Learning.\u003c\/p\u003e \u003cp\u003eMemory Retrieval.\u003c\/p\u003e \u003cp\u003eSerial Reproduction.\u003c\/p\u003e \u003cp\u003eMemory Theorists.\u003c\/p\u003e \u003cp\u003eDreams.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX C BRAIN SCANNING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eElectroencephalography.\u003c\/p\u003e \u003cp\u003eMagnetic Resonance Imaging.\u003c\/p\u003e \u003cp\u003eFunctional Magnetic Resonance Imaging.\u003c\/p\u003e \u003cp\u003ePositron Emission Tomography.\u003c\/p\u003e \u003cp\u003eComputerized Axial Tomography.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX D BIOGRAPHIES OF PERSONS OF SCIENTIFIC INTEREST.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eFOR FURTHER STUDY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eINDEX.\u003c\/b\u003e\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default 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