Computational Models for Neuroscience

Human Cortical Information Processing

Editors: Hecht-Nielsen, Robert, McKenna, Thomas (Eds.)

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About this book

Formal study of neuroscience (broadly defined) has been underway for millennia. For example, writing 2,350 years ago, Aristotle! asserted that association - of which he defined three specific varieties - lies at the center of human cognition. Over the past two centuries, the simultaneous rapid advancements of technology and (conse­ quently) per capita economic output have fueled an exponentially increasing effort in neuroscience research. Today, thanks to the accumulated efforts of hundreds of thousands of scientists, we possess an enormous body of knowledge about the mind and brain. Unfortunately, much of this knowledge is in the form of isolated factoids. In terms of "big picture" understanding, surprisingly little progress has been made since Aristotle. In some arenas we have probably suffered negative progress because certain neuroscience and neurophilosophy precepts have clouded our self-knowledge; causing us to become largely oblivious to some of the most profound and fundamental aspects of our nature (such as the highly distinctive propensity of all higher mammals to automatically seg­ ment all aspects of the world into distinct holistic objects and the massive reorganiza­ tion of large portions of our brains that ensues when we encounter completely new environments and life situations). At this epoch, neuroscience is like a huge collection of small, jagged, jigsaw puz­ zle pieces piled in a mound in a large warehouse (with neuroscientists going in and tossing more pieces onto the mound every month).

Table of contents (10 chapters)

  • The Neurointeractive Paradigm: Dynamical Mechanics and the Emergence of Higher Cortical Function

    Cauller, Larry

    Pages 1-23

  • The Cortical Pyramidal Cell as a Set of Interacting Error Backpropagating Dendrites: Mechanism for Discovering Nature’s Order

    Favorov, Oleg V. (et al.)

    Pages 25-64

  • Performance of Intelligent Systems Governed by Internally Generated Goals

    Freeman, Walter J.

    Pages 65-84

  • A Theory of Thalamocortex

    Hecht-Nielsen, Robert

    Pages 85-124

  • Elementary Principles of Nonlinear Synaptic Transmission

    Markram, Henry

    Pages 125-169

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-1-4471-0085-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.00
price for USA
  • ISBN 978-1-85233-593-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-1-4471-1111-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Models for Neuroscience
Book Subtitle
Human Cortical Information Processing
Editors
  • Robert Hecht-Nielsen
  • Thomas McKenna
Copyright
2003
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-0085-0
DOI
10.1007/978-1-4471-0085-0
Hardcover ISBN
978-1-85233-593-9
Softcover ISBN
978-1-4471-1111-5
Edition Number
1
Number of Pages
XIX, 299
Number of Illustrations and Tables
27 b/w illustrations
Topics