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1.

図書

図書
Stefan Wermter, Jim Austin, David Willshaw (eds.)
出版情報: Berlin ; Tokyo : Springer, c2001  x, 576 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2036 . Lecture notes in artificial intelligence
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2.

図書

図書
Frederic M. Ham, Ivica Kostanic
出版情報: New York, NY : McGraw Hill, c2001  xxx, 642 p. ; 24 cm
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3.

図書

図書
edited by Geoffrey Hinton and Terrence J. Sejnowski
出版情報: Cambridge, Mass. : MIT Press, c1999  xvi, 398 p. ; 23 cm
シリーズ名: Computational neuroscience
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目次情報: 続きを見る
Introduction
Unsupervised Learning / H. B. Barlow1:
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network / Ralph Linsker2:
Convergent Algorithm for Sensory Receptive Field Development / Joseph J. Atick ; A. Norman Redlich3:
Emergence of Position-Independent Detectors of Sense of Rotation and Dilation with Hebbian Learning: An Analysis / Kechen Zhang ; Martin I. Sereno ; Margaret E. Sereno4:
Learning Invariance from Transformation Sequences / Peter Foldiak5:
Learning Perceptually Salient Visual Parameters Using Spatiotemporal Smoothness Constraints / James V. Stone6:
What Is the Goal of Sensory Coding? / David J. Field7:
An Information-Maximization Approach to Blind Separation and Blind Deconvolution / Anthony J. Bell ; Terrence J. Sejnowski8:
Natural Gradient Works Efficiently in Learning / Shun-ichi Amari9:
A Fast Fixed-Point Algorithm for Independent Component Analysis / Aapo Hyvarinen ; Erkki Oja10:
Feature Extraction Using an Unsupervised Neural Network / Nathan Intrator11:
Learning Mixture Models of Spatial Coherence / Suzanna Becker ; Geoffrey E. Hinton12:
Bayesian Self-Organization Driven by Prior Probability Distributions / Alan L. Yuille ; Stelios M. Smirnaki ; Lei Xu13:
Finding Minimum Entropy Codes / T.P. Kaushal ; G. J. Mitchison14:
Learning Population Codes by Minimizing Description Length / Richard S. Zemel15:
The Helmholtz Machine / Peter Dayan ; Radford M. Neal16:
Factor Analysis Using Delta-Rule Wake-Sleep Learning / 17:
Dimension Reduction by Local Principal Component Analysis / Nandakishore Kambhatla ; Todd K. Leen18:
A Resource-Allocating Network for Function Interpolation / John Platt19:
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures / Steven Gold ; Anand Rangarajan ; Eric Mjolsness20:
Learning to Generalize from Single Examples in the Dynamic Link Architecture / Wolfgang Konen ; Christoph von der Malsburg21:
Index
Introduction
Unsupervised Learning / H. B. Barlow1:
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network / Ralph Linsker2:
4.

図書

図書
Michael A. Arbib
出版情報: New York, N.Y. : Wiley, c1989  xiv, 458 p. ; 26 cm
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目次情報: 続きを見る
Brain, Behavior and Metaphor
Action Coding and Neural Networks
Systems and Adaptation
Cooperative Computation
Schema Theory
Neural Control of Movement
Vision and Visuomotor Coordination
Memory and Learning
Where Do We Go from Here?
Notes
References
Indexes
Brain, Behavior and Metaphor
Action Coding and Neural Networks
Systems and Adaptation
5.

図書

図書
Tamás Geszti
出版情報: Singapore ; Teaneck, NJ : World Scientific, c1990  viii, 143 p. ; 23 cm
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6.

図書

図書
by Eric Goles and Servet Martínez
出版情報: Dordrecht ; Boston : Kluwer Academic, c1990  xiii, 250 p. ; 25 cm
シリーズ名: Mathematics and its applications ; v. 58
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7.

図書

図書
Philip D. Wasserman
出版情報: New York, N.Y. : Van Nostrand Reinhold, c1989  viii, 230 p. ; 24 cm
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8.

図書

図書
Branko Souček
出版情報: New York : Wiley, c1989  xviii, 387 p. ; 25 cm
シリーズ名: Sixth-generation computer technology series
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9.

図書

図書
Carver Mead
出版情報: Reading, Mass. ; Tokyo : Addison-Wesley, c1989  xxii, 371 p. ; 24 cm
シリーズ名: The VLSI systems series
Computation and neural systems series
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目次情報: 続きを見る
This book introduces Mead's pioneering work on the design of neural networks and their implementation in analog VLSI systems
Mead observes first that the nervous systems of even simple animals contain computing paradigms far more effective than any found in currently available computers
He then shows how the powerful organizing principles of these nervous systems can be realized in silicon integrated circuits
His examples include silicon neural systems that replicate animal senses - chips that can see and hear!
0201059924B04062001
This book introduces Mead's pioneering work on the design of neural networks and their implementation in analog VLSI systems
Mead observes first that the nervous systems of even simple animals contain computing paradigms far more effective than any found in currently available computers
He then shows how the powerful organizing principles of these nervous systems can be realized in silicon integrated circuits
10.

図書

図書
Yoh-Han Pao
出版情報: Reading, Mass. ; Tokyo : Addison-Wesley, c1989  xviii, 309 p. ; 25 cm
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