Book description
Gain a new perspective on how the brain works and inspires new avenues for design in computer science and engineering
This 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.
Writing from the circuits and systems perspective, the author reaches across specialized disciplines including neuroscience, psychology, and physics to achieve uncommon coverage of:
Neural membranes
Neural pulses and neural memory
Circuits and systems for memorizing and recalling
Dendritic processing and human learning
Artificial learning in artificial neural networks
The asset of reversibility in man and machine
Electrically reversible nanoprocessors
Reversible arithmetic
Hamiltonian circuit finders
Quantum versus classical
Each chapter introduces and develops new material and ends with exercises for readers to put their skills into practice. Appendices are provided for non-experts who want a quick overview of brain anatomy, brain psychology, and brain scanning. The nature of this book, with its summaries of major bodies of knowledge, makes it a most valuable reference for professionals, researchers, and students with career goals in artificial intelligence, intelligent systems, neural networks, computer architecture, and neuroscience.
A solutions manual is available for instructors; to obtain a copy please email the editorial department at ialine@wiley.com.
Table of contents
- Cover Page
- Title Page
- Copyright
- Dedication
- Contents
- PREFACE
- CHAPTER 1: BRAIN BEHAVIOR POINTS THE WAY
- CHAPTER 2: NEURAL MEMBRANES AND ANIMAL ELECTRICITY
- CHAPTER 3: NEURAL PULSES AND NEURAL MEMORY
- CHAPTER 4: CIRCUITS AND SYSTEMS FOR MEMORIZATION AND RECALL
-
CHAPTER 5: DENDRITIC PROCESSING AND HUMAN LEARNING
- INTRODUCTION
- BIOLOGICAL VERSUS ARTIFICIAL NEURAL NETWORKS
- DENDRITES
- 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
- CHAPTER 6: ARTIFICIAL LEARNING IN ARTIFICIAL NEURAL NETWORKS
- CHAPTER 7: THE ASSET OF REVERSIBILITY IN HUMANS AND MACHINES
-
CHAPTER 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 EXAMPLE
- CONCLUSIONS
- EXERCISES
- CHAPTER 9: MULTIPLICATION, DIVISION, AND HAMILTONIAN CIRCUITS
- CHAPTER 10: QUANTUM VERSUS CLASSICAL COMPUTING
- APPENDIX A: HUMAN BRAIN ANATOMY
- APPENDIX B: THE PSYCHOLOGICAL SCIENCE OF MEMORY
- APPENDIX C: BRAIN SCANNING
-
APPENDIX D: BIOGRAPHIES OF PERSONS OF SCIENTIFIC INTEREST
- Why Read the Biographies of Others?
- René Descartes (1596–1650)
- Thomas Willis (1621–1675)
- Charles-Augustin de Coulomb (1736–1806)
- Luigi Galvani (1737–1798)
- Benjamin Rush (1746–1813)
- Robert Brown (1773–1858)
- André-Marie Ampère (1775–1836)
- Lorenzo Avogadro (1776–1856)
- Jan Evangelista Purkinje (1787–1869)
- Michael Faraday (1791–1867)
- William Rowan Hamilton (1805–1865)
- George Boole (1815–1864)
- Louis-Antoine Ranvier (1835–1922)
- Ludwig Boltzmann (1844–1906)
- Santiago Ramón y Cajal (1852–1934)
- Sigmund Freud (1856–1939)
- Svante August Arrhenius (1859–1927)
- Richard Semon (1859–1918)
- Walther Nernst (1864–1941)
- John Von Neumann (1903–1957)
- Donald Olding Hebb (1904–1985)
- Alan Turing (1912–1954)
- Herbert Alexander Simon (1916–2001)
- Richard Feynman (1918–1988)
- Rolf Landauer (1927–1999)
- Frank Rosenblatt (1928–1969)
- Gordon Earle Moore (1929– )
- John Joseph Hopfield (1933– )
- John R. Anderson (1947– )
- Kim Peek (1951– )
- Daniel Tammet (1979– )
- For Further Study
- Index
Product information
- Title: Human Memory Modeled with Standard Analog and Digital Circuits: Inspiration for Man-made Computers
- Author(s):
- Release date: July 2009
- Publisher(s): Wiley
- ISBN: 9780470424353
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