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1.

図書
図書
1. Neural networks and natural intelligence (: pbk)
edited by Stephen Grossberg
出版情報: Cambridge : MIT Press, c1988  xi, 637 p. ; 27 cm
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目次情報: 続きを見る
List of Authors
Preface
Cortical dynamics of three-dimensional form, color, and brightness perception, I: Monocular theory / 1：
Cortical dynamics of three-dimensional form, color, and brightness perception, I: Binocular theory / 2：
Neural dynamics of 1-D and 2-D brightness perception: A unified model of classical and recent phenomena / 3：
Computer simulation of neural networks for perceptual psychology / 4：
Competitive learning: From interactive activation to adaptive resonance / 5：
A massively parallel architecture for a self-organizing neural pattern recognition machine / 6：
Making fields: A massively parallel neural architecture for learning, recognizing, and predicting multiple grouping of patterned data / 7：
Neural dynamics of attention switching and temporal order information in short term memory / 8：
Neural dynamics of attentionally-modulated Pavlovian conditioning: Blocking, inter-stimulus interval, and secondary reinforcement / 9：
Neural dynamics of attentionally-modulated Pavlovian conditioning: Conditioned reinforcement, inhibition, and opponent processing / 10：
Neural Dynamics of Decision Making under Risk: Affective Balance and Cognitive-Emotional Interactions / 11：
Neural dynamics of planned arm movements: Emergent invariants and speed-accuracy properties during trajectory formation / 12：
Author Index
Subject Index
List of Authors
Preface
Cortical dynamics of three-dimensional form, color, and brightness perception, I: Monocular theory / 1：
2.

図書
図書
2. Knowledge-based neurocomputing
edited by Ian Cloete and Jacek M. Zurada
出版情報: Cambridge, Mass. : MIT Press, c2000  xiv, 486 p. ; ill. ; 26 cm
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Preface and Acknowledgements
Contributors
Knowledge-Base Neurocomputing: Past, Present, and Future / 1：
Architectures and Techniques for Knowledge-Based Neurocomputing / 2：
Symbolic Knowledge Representation in Recurrent Neural Networks: Insights from Theoretical Models of Computation / 3：
A Tutorial on Neurocomputing of Structures / 4：
Structural Learning and Rule Discovery / 5：
VL1ANN: Transformation of Rules to Artificial Neural Networks / 6：
Integration of Heterogeneous Sources of Partial Domain Knowledge / 7：
Approximation of Differential Equations Using Neural Networks / 8：
Fynesse: A Hybrid Architecture for Self-Learning Control / 9：
Data Mining Techniques for Designing Neural Network Time Series Predictors / 10：
Extraction of Decision Trees from Artificial Neural Networks / 11：
Extraction of Linguistic Rules from Data via Neural Networks and Fuzzy Approximation / 12：
Neural Knowledge Processing in Expert Systems / 13：
Index
Preface and Acknowledgements
Contributors
Knowledge-Base Neurocomputing: Past, Present, and Future / 1：
3.

図書
図書
3. Unsupervised learning : foundations of neural computation (pbk.)
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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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
4. Neural networks in bioprocessing and chemical engineering
D.R. Baughman, Y.A. Liu
出版情報: San Diego, Calif. ; Tokyo : Academic Press, c1995  xix, 488 p. ; 27 cm.
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5.

図書
図書
5. Neurocomputing
出版情報: Cambridge, Mass. : MIT Press
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6.

図書
図書
6. Neural and automata networks : dynamical behavior and applications
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
7. Complex systems and cognitive processes (: gw ; : us)
Roberto Serra, Gianni Zanarini
出版情報: Berlin ; Tokyo : Springer-Verlag, c1990  x, 205 p. ; 24 cm
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8.

図書
図書
8. An introduction to neural and electronic networks (: hc ; : pbk)
edited by Steven F. Zornetzer, Joel L. Davis, and Clifford Lau
出版情報: San Diego ; Tokyo : Academic Press, c1990  xv, 493 p. ; 25 cm
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9.

図書
図書
9. Introduction to the theory of neural computation (: pbk)
John Hertz, Anders Krogh, Richard G. Palmer
出版情報: Redwood City, Calif. : Addison-Wesley Pub. Co., c1991  xxii, 327 p. ; 24 cm
シリーズ名: Santa Fe Institute studies in the sciences of complexity ; . Lecture notes ; v. 1
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10.

図書
図書
10. Neural network models in artificial intelligence
Matthew Zeidenberg
出版情報: New York : E. Horwood, 1990  268 p. ; 25 cm
シリーズ名: Ellis Horwood series in artificial intelligence
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