Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Human Memory Modeled With Standard Analog And Digital Circuits: Inspiration for Manmade Computers

by John Robert Burger
Save 35% Save 35%
Current price ₹12,401.00
Original price ₹19,078.00
Original price ₹19,078.00
Original price ₹19,078.00
(-35%)
₹12,401.00
Current price ₹12,401.00

Ships in 1-2 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Hardcover
  • ISBN13: 9780470424353
  • Binding: Hardcover
  • Subject: Computer Science and Information Technology
  • Publisher: Wiley
  • Publisher Imprint: Wiley-Blac
  • Publication Date:
  • Pages: 366
  • Original Price: USD 208.95
  • Language: English
  • Edition: N/A
  • Item Weight: 636 grams
  • BISAC Subject(s): Neuroscience and Data Science / Neural Networks

From the Back Cover
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.

JOHN ROBERT BURGER taught at the University of the Pacific in Stockton, California; California State University, Northridge; and the Oregon Institute of Technology, where he developed a course in artificial neural networks. Dr. Burger and his students have designed and fabricated many CMOS integrated circuits over the years. He is interested in the propagation of electrical wavefronts in conductors, neural and otherwise, an interest he has enjoyed since his boyhood telegraph inventions.

Trusted for over 48 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us