Brain theory from a circuits and systems perspective : how electrical science explains neuro-circuits, neuro-systems, and qubits / / John Robert Burger |
Autore | Burger John Robert <1940-> |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | New York, : Springer, 2013 |
Descrizione fisica | 1 online resource (239 p.) |
Disciplina | 612.822 |
Collana | Springer series in cognitive and neural systems |
Soggetto topico |
Neural circuitry
Optical communications |
ISBN | 1-4614-6412-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNINA-9910739448903321 |
Burger John Robert <1940-> | ||
New York, : Springer, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Human memory modeled with standard analog and digital circuits [[electronic resource] ] : inspiration for man-made computers / / John Robert Burger |
Autore | Burger John Robert <1940-> |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, : Wiley, c2009 |
Descrizione fisica | 1 online resource (384 p.) |
Disciplina |
612.8/23312
612.823312 |
Soggetto topico |
Memory - Computer simulation
Artificial intelligence |
Soggetto genere / forma | Electronic books. |
ISBN |
1-282-27902-5
9786612279027 0-470-46425-9 0-470-46419-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
HUMAN MEMORY MODELED WITH STANDARD ANALOG AND DIGITAL CIRCUITS; CONTENTS; PREFACE; 1 BRAIN BEHAVIOR POINTS THE WAY; Introduction; Modeling; Why Thinking Dissipates So Few Calories; The Miracle of Parallel Processing; Singularity; The Benefits of Reading This Book; Overview of the Book; Applications of the Models in the Book; Conclusions; Exercises; 2 NEURAL MEMBRANES AND ANIMAL ELECTRICITY; Introduction; The Physical Neuron; Ionic Solutions and Stray Electrons; Nernst Voltage; Ion-Channel Model; Applications; Conclusions; Exercises; 3 NEURAL PULSES AND NEURAL MEMORY; Introduction
Derivation of a Neural Pulse Using Basic PhysicsNeuron Signal Propagation; Modeling Neurons as Adiabatic; Neurons for Memory; Applications; Conclusions; Exercises; Appendix: Asymptotically Adiabatic Circuits; 4 CIRCUITS AND SYSTEMS FOR MEMORIZATION AND RECALL; Introduction; Psychological Considerations When Modeling Human Memory; Basic Assumptions to Create a Model; Short-Term Memory and Consciousness; Cognitive Architecture; Discussion of the Model; Enabled Neural Logic; Models for Memorization; Applications; Conclusions; Exercises; 5 DENDRITIC PROCESSING AND HUMAN LEARNING; Introduction Biological Versus Artificial Neural NetworksDendrites; Neurons for Combinational Learning; Neurons for State-Machine Learning; Learning Circuits; Dendritic Processing Models; Enabled Logic Directly at the Soma; Comments on the Adiabatic Nature of Dendrites; Applications; Conclusions; Exercises; Appendix: Circuit Simulations of Neural Soliton Propagation; Conclusions; 6 ARTIFICIAL LEARNING IN ARTIFICIAL NEURAL NETWORKS; Introduction; Artificial Neurons; Artificial Learning Methods; Discussion of Learning Methods; Conclusion; Exercises; 7 THE ASSET OF REVERSIBILITY IN HUMANS AND MACHINES IntroductionSavants; Neural Models that Explain Savants; Parallel Processing and the Savant Brain; Computational Possibilities Using Conditional Toggle Memory; The Cost of Computation; Reversible Programming; Conclusions; Exercises; Appendix: Split-Level Charge Recovery Logic; 8 ELECTRICALLY REVERSIBLE NANOPROCESSORS; Introduction; A Gauge for Classical Parallelism; Design Rules for Electrical Reversibility; Reversible System Architecture; Architecture for Self-Analyzing Memory Words; Electrically Reversible Toggle Circuit; Reversible Addition Programming Example Reversible Subtraction Programming ExampleConclusions; Exercises; 9 MULTIPLICATION, DIVISION, AND HAMILTONIAN CIRCUITS; Introduction; Unsigned Multiplication; Restoring Division; Solving Hard Problems; Hamiltonian Circuits; The Initialization of Toggle Memory in Nanoprocessors; Logically Reversible Programming Using Nanobrains; Conclusions; Exercises; 10 QUANTUM VERSUS CLASSICAL COMPUTING; Introduction; Physical Qubits; Quantum Boolean Functions; Quantum Computer Programming; Historical Quantum Computing Algorithms; Conclusions; Exercises; APPENDIX A HUMAN BRAIN ANATOMY; Components of a Brain Forebrain Structure |
Record Nr. | UNINA-9910139753903321 |
Burger John Robert <1940-> | ||
Hoboken, : Wiley, c2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Human memory modeled with standard analog and digital circuits [[electronic resource] ] : inspiration for man-made computers / / John Robert Burger |
Autore | Burger John Robert <1940-> |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, : Wiley, c2009 |
Descrizione fisica | 1 online resource (384 p.) |
Disciplina |
612.8/23312
612.823312 |
Soggetto topico |
Memory - Computer simulation
Artificial intelligence |
ISBN |
1-282-27902-5
9786612279027 0-470-46425-9 0-470-46419-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
HUMAN MEMORY MODELED WITH STANDARD ANALOG AND DIGITAL CIRCUITS; CONTENTS; PREFACE; 1 BRAIN BEHAVIOR POINTS THE WAY; Introduction; Modeling; Why Thinking Dissipates So Few Calories; The Miracle of Parallel Processing; Singularity; The Benefits of Reading This Book; Overview of the Book; Applications of the Models in the Book; Conclusions; Exercises; 2 NEURAL MEMBRANES AND ANIMAL ELECTRICITY; Introduction; The Physical Neuron; Ionic Solutions and Stray Electrons; Nernst Voltage; Ion-Channel Model; Applications; Conclusions; Exercises; 3 NEURAL PULSES AND NEURAL MEMORY; Introduction
Derivation of a Neural Pulse Using Basic PhysicsNeuron Signal Propagation; Modeling Neurons as Adiabatic; Neurons for Memory; Applications; Conclusions; Exercises; Appendix: Asymptotically Adiabatic Circuits; 4 CIRCUITS AND SYSTEMS FOR MEMORIZATION AND RECALL; Introduction; Psychological Considerations When Modeling Human Memory; Basic Assumptions to Create a Model; Short-Term Memory and Consciousness; Cognitive Architecture; Discussion of the Model; Enabled Neural Logic; Models for Memorization; Applications; Conclusions; Exercises; 5 DENDRITIC PROCESSING AND HUMAN LEARNING; Introduction Biological Versus Artificial Neural NetworksDendrites; Neurons for Combinational Learning; Neurons for State-Machine Learning; Learning Circuits; Dendritic Processing Models; Enabled Logic Directly at the Soma; Comments on the Adiabatic Nature of Dendrites; Applications; Conclusions; Exercises; Appendix: Circuit Simulations of Neural Soliton Propagation; Conclusions; 6 ARTIFICIAL LEARNING IN ARTIFICIAL NEURAL NETWORKS; Introduction; Artificial Neurons; Artificial Learning Methods; Discussion of Learning Methods; Conclusion; Exercises; 7 THE ASSET OF REVERSIBILITY IN HUMANS AND MACHINES IntroductionSavants; Neural Models that Explain Savants; Parallel Processing and the Savant Brain; Computational Possibilities Using Conditional Toggle Memory; The Cost of Computation; Reversible Programming; Conclusions; Exercises; Appendix: Split-Level Charge Recovery Logic; 8 ELECTRICALLY REVERSIBLE NANOPROCESSORS; Introduction; A Gauge for Classical Parallelism; Design Rules for Electrical Reversibility; Reversible System Architecture; Architecture for Self-Analyzing Memory Words; Electrically Reversible Toggle Circuit; Reversible Addition Programming Example Reversible Subtraction Programming ExampleConclusions; Exercises; 9 MULTIPLICATION, DIVISION, AND HAMILTONIAN CIRCUITS; Introduction; Unsigned Multiplication; Restoring Division; Solving Hard Problems; Hamiltonian Circuits; The Initialization of Toggle Memory in Nanoprocessors; Logically Reversible Programming Using Nanobrains; Conclusions; Exercises; 10 QUANTUM VERSUS CLASSICAL COMPUTING; Introduction; Physical Qubits; Quantum Boolean Functions; Quantum Computer Programming; Historical Quantum Computing Algorithms; Conclusions; Exercises; APPENDIX A HUMAN BRAIN ANATOMY; Components of a Brain Forebrain Structure |
Record Nr. | UNINA-9910830294803321 |
Burger John Robert <1940-> | ||
Hoboken, : Wiley, c2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Human memory modeled with standard analog and digital circuits : inspiration for man-made computers / / John Robert Burger |
Autore | Burger John Robert <1940-> |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, : Wiley, c2009 |
Descrizione fisica | 1 online resource (384 p.) |
Disciplina | 612.8/23312 |
Soggetto topico |
Memory - Computer simulation
Artificial intelligence |
ISBN |
1-282-27902-5
9786612279027 0-470-46425-9 0-470-46419-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
HUMAN MEMORY MODELED WITH STANDARD ANALOG AND DIGITAL CIRCUITS; CONTENTS; PREFACE; 1 BRAIN BEHAVIOR POINTS THE WAY; Introduction; Modeling; Why Thinking Dissipates So Few Calories; The Miracle of Parallel Processing; Singularity; The Benefits of Reading This Book; Overview of the Book; Applications of the Models in the Book; Conclusions; Exercises; 2 NEURAL MEMBRANES AND ANIMAL ELECTRICITY; Introduction; The Physical Neuron; Ionic Solutions and Stray Electrons; Nernst Voltage; Ion-Channel Model; Applications; Conclusions; Exercises; 3 NEURAL PULSES AND NEURAL MEMORY; Introduction
Derivation of a Neural Pulse Using Basic PhysicsNeuron Signal Propagation; Modeling Neurons as Adiabatic; Neurons for Memory; Applications; Conclusions; Exercises; Appendix: Asymptotically Adiabatic Circuits; 4 CIRCUITS AND SYSTEMS FOR MEMORIZATION AND RECALL; Introduction; Psychological Considerations When Modeling Human Memory; Basic Assumptions to Create a Model; Short-Term Memory and Consciousness; Cognitive Architecture; Discussion of the Model; Enabled Neural Logic; Models for Memorization; Applications; Conclusions; Exercises; 5 DENDRITIC PROCESSING AND HUMAN LEARNING; Introduction Biological Versus Artificial Neural NetworksDendrites; Neurons for Combinational Learning; Neurons for State-Machine Learning; Learning Circuits; Dendritic Processing Models; Enabled Logic Directly at the Soma; Comments on the Adiabatic Nature of Dendrites; Applications; Conclusions; Exercises; Appendix: Circuit Simulations of Neural Soliton Propagation; Conclusions; 6 ARTIFICIAL LEARNING IN ARTIFICIAL NEURAL NETWORKS; Introduction; Artificial Neurons; Artificial Learning Methods; Discussion of Learning Methods; Conclusion; Exercises; 7 THE ASSET OF REVERSIBILITY IN HUMANS AND MACHINES IntroductionSavants; Neural Models that Explain Savants; Parallel Processing and the Savant Brain; Computational Possibilities Using Conditional Toggle Memory; The Cost of Computation; Reversible Programming; Conclusions; Exercises; Appendix: Split-Level Charge Recovery Logic; 8 ELECTRICALLY REVERSIBLE NANOPROCESSORS; Introduction; A Gauge for Classical Parallelism; Design Rules for Electrical Reversibility; Reversible System Architecture; Architecture for Self-Analyzing Memory Words; Electrically Reversible Toggle Circuit; Reversible Addition Programming Example Reversible Subtraction Programming ExampleConclusions; Exercises; 9 MULTIPLICATION, DIVISION, AND HAMILTONIAN CIRCUITS; Introduction; Unsigned Multiplication; Restoring Division; Solving Hard Problems; Hamiltonian Circuits; The Initialization of Toggle Memory in Nanoprocessors; Logically Reversible Programming Using Nanobrains; Conclusions; Exercises; 10 QUANTUM VERSUS CLASSICAL COMPUTING; Introduction; Physical Qubits; Quantum Boolean Functions; Quantum Computer Programming; Historical Quantum Computing Algorithms; Conclusions; Exercises; APPENDIX A HUMAN BRAIN ANATOMY; Components of a Brain Forebrain Structure |
Record Nr. | UNINA-9910876739203321 |
Burger John Robert <1940-> | ||
Hoboken, : Wiley, c2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|