Springer Series in Cognitive and Neural Systems

Brain Theory From A Circuits And Systems Perspective

How Electrical Science Explains Neuro-circuits, Neuro-systems, and Qubits

Authors: Burger, John Robert

  • Includes clear explanations of neural pulses with reference to physical circuitry
  • Easy exercises are provided at the ends of each chapter for serious readers who want to really understand the material being offered
  • Educationally valuable laboratory experiments in the form of simulations of neural properties are offered in an appendix   
  • High level relevance to artificial intelligence and robotics​
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eBook $169.00
price for USA (gross)
  • ISBN 978-1-4614-6412-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.00
price for USA
  • ISBN 978-1-4614-6411-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $219.00
price for USA
  • ISBN 978-1-4899-8986-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book models  an idealized neuron as being driven by basic electrical elements, the goal being to systematically characterize the logical properties of neural pulses.  In order to constitute a system, neurons as pulsating devices may be represented using novel circuit elements as delineated in this book.  A plausible brain system is implied by the delineated elements and logically follows from known and likely properties of a neuron.   New to electrical science are novel pulse-related circuit elements involving recursive neurons.  A recursive neuron, when properly excited, produces a self-sustaining pulse train that when sampled,  provides a true output with a specified probability, and a false output with complementary probability.  Because of its similarity to the qubits of quantum mechanics, the recursive pulsating neuron is termed a simulated qubit.  Recursive neurons easily function as controlled toggle devices and so are capable of massively parallel calculations, this being a new dimension in brain functioning as described in this book.    Simulated qubits and their possibilities are compared to the qubits of quantum physics.  Included in the book are suggested neural circuits for associative memory search via a randomized process of cue selection, and neural circuits for priority calculations.  These serve to select returns from long term memory, which in turn determines one's next conscious thought or action based on past memorized experiences.   The book reports on proposals involving electron tunneling between synapses, and quantum computations within neurons.  Although not a textbook, there are easy exercises at the ends of chapters, and in the appendix there are twelve simulation experiments concerning neurons. ​

Table of contents (11 chapters)

  • Brain Structure

    Burger, John Robert

    Pages 1-16

  • Brain Architecture for an Intelligent Stream of Consciousness

    Burger, John Robert

    Pages 17-29

  • Circuit Elements Required for Neural Systems

    Burger, John Robert

    Pages 31-57

  • Long-Term Memory, Simulated Qubits, Physical Qubits

    Burger, John Robert

    Pages 59-83

  • Outline of a Cue Editor

    Burger, John Robert

    Pages 85-100

Buy this book

eBook $169.00
price for USA (gross)
  • ISBN 978-1-4614-6412-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.00
price for USA
  • ISBN 978-1-4614-6411-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $219.00
price for USA
  • ISBN 978-1-4899-8986-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Brain Theory From A Circuits And Systems Perspective
Book Subtitle
How Electrical Science Explains Neuro-circuits, Neuro-systems, and Qubits
Authors
Series Title
Springer Series in Cognitive and Neural Systems
Series Volume
6
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-6412-9
DOI
10.1007/978-1-4614-6412-9
Hardcover ISBN
978-1-4614-6411-2
Softcover ISBN
978-1-4899-8986-4
Series ISSN
2363-9105
Edition Number
1
Number of Pages
XVI, 227
Topics