Results 1 to 15 of 65

Mind within the Net: Models of Learning, Thinking, and Acting

by Manfred Spitzer The MIT Press
Pub Date:
03/2000
ISBN:
9780262692366
Format:
Pb+ 376 pages

A basic, readable, non-maths introduction to neural networks & their clinical applications & how this effects our thinking & action....

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Spikes: Exploring the Neural Code

by Fred Rieke, Warland Van Steveninck and Bialek The MIT Press
Pub Date:
09/1999
ISBN:
9780262681087
Format:
Pb+ 414 pages

'a really wonderful book. The particular theory about how the brain works that informs the presentation, & thus determines how...

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Signals and Boundaries: Building Blocks for Complex Adaptive Systems

by John H Holland The MIT Press
Pub Date:
01/2014
ISBN:
9780262525930
Format:
Pb+ 316 pages

Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterised by intricate...

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Unsupervised Learning: Foundations of Neural Computation

by Geoffrey Hinton and TJ Sejnowski The MIT Press
Pub Date:
04/1999
ISBN:
9780262581684
Format:
Pbk 414 pages

For Neural Computation & Computational Neuroscience. The creation of computer models which analyse the observed properties...

  • AU$77.00
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Robot Shaping: an Experiment in Behavior Engineering

by Marco Dorigo and M Colombetti The MIT Press
Pub Date:
10/1997
ISBN:
9780262041645
Format:
Hbk 221 pages

Marco Dorigo and Marco Colombetti foreword by Lashon Booker '[This] book gives a clear and comprehensive exposition of [the...

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Talking Nets: an Oral History of Neural Networks

by James Anderson and E Rosenfeld The MIT Press
Pub Date:
03/2000
ISBN:
9780262511117
Format:
Pb+ 448 pages

Legends & tales from & about the leading pioneers, researchers of the human mind, neuroscience, neural networks, brain theory...

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Immunological Bioinformatics

by Ole Lund , Morten Nielsen and Can Kesmir The MIT Press
Pub Date:
09/2005
ISBN:
9780262122801
Format:
Hbk 312 pages

Despite the fact that advanced bioinformatics methodologies have not been used as extensively in immunology as in other subdisciplines...

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Neural Networks for Control

by W. Thomas Miller III, Richard S. Sutton, Paul J. Werbos The MIT Press
Pub Date:
01/1995
ISBN:
9780262631617
Format:
Pb+ 544 pages

Major New Field Of Neural Networks. 'Highly recommended.' -- Nick Beard, Computing

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Conversations in the Cognitive Neurosciences

by Michael Gazzaniga The MIT Press
Pub Date:
11/1996
ISBN:
9780262571173
Format:
Pbk 202 pages

'All too frequently, the book does not measure up to the movie, the novel lacks the punch of the serialized chapters, and the...

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Fundamentals of Neural Network Modeling: Neuropsychology and Cognitive Neuroscience

by Randolph W Parks, Daniel S. Levine, Debra L. Long The MIT Press
Pub Date:
11/1998
ISBN:
9780262161756
Format:
Hbk 442 pages

Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional...

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Introduction to Computational Learning Theory

by Michael J Kearns and Umesh V. Vazirani The MIT Press
Pub Date:
07/1994
ISBN:
9780262111935
Format:
Hbk 221 pages

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational...

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Introduction to Neural Networks

by James A Anderson The MIT Press
Pub Date:
04/1995
ISBN:
9780262510813
Format:
Pb+ 672 pages

With 362 illustrations.

  • AU$142.00
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Knowledge-Based Neurocomputing

by Ian Cloete and J Zurada The MIT Press
Pub Date:
03/2000
ISBN:
9780262032742
Format:
Hbk 502 pages

Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding...

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Neural Networks in Organizational Research: Applying Pattern Recognition to the Analysis of Organizational Behavior

by David Scarborough and Mark John Somers American Psychological Association
Pub Date:
05/2006
ISBN:
9781591474159
Format:
Hbk 232 pages

While the term neural networks may be unfamiliar to many organizational psychologists, exciting new applications of artificial...

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Advances in Large-Margin Classifiers

by Alexander J Smola, PJ Bartlett, B Scholkopf D Schuurmans The MIT Press
Pub Date:
10/2000
ISBN:
9780262194488
Format:
Hbk 422 pages

The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data...

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