Neural Networks, Volume 3

Volume 3, Number 1, 1990

• Stephen Grossberg:
  The second anniversary of Neural Networks. 1-
  
• Nobuo Suga:
  Cortical computational maps for auditory imaging. 3-21
  
• Kevin J. Lang, Alex Waibel, Geoffrey E. Hinton:
  A time-delay neural network architecture for isolated word recognition. 23-43
  
• Jonathan A. Marshall:
  Self-organizing neural networks for perception of visual motion. 45-74
  
• Douglas B. Tweed, Tutis Vilis:
  The superior colliculus and spatiotemporal translation in the saccadic system. 75-86
  
• David M. Clark, K. Ravishankar:
  A convergence theorem for Grossberg learning. 87-92
  
• Dennis J. Volper, Steven E. Hampson:
  Quadratic function nodes: Use, structure and training. 93-107
  
• Donald F. Specht:
  Probabilistic neural networks. 109-118
  
• Han van der Maas, Paul F. M. J. Verschure, Peter C. M. Molenaar:
  A note on chaotic behavior in simple neural networks. 119-122
  

Volume 3, Number 2, 1990

• Patrick A. Shoemaker:
  Comments about Hartstein and Koch : Neural Networks, 1989, 2, 395-403. 127-
  
• Allan Hartstein, R. H. Koch:
  Reply. 127-128
  
• Gail A. Carpenter, Stephen Grossberg:
  ART 3: Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures. 129-152
  
• Yong Yao, Walter J. Freeman:
  Model of biological pattern recognition with spatially chaotic dynamics. 153-170
  
• John G. Taylor:
  A silicon model of vertebrate retinal processing. 171-178
  
• Paul J. Werbos:
  Consistency of HDP applied to a simple reinforcement learning problem. 179-189
  
• Stephen I. Gallant:
  A connectionist learning algorithm with provable generalization and scaling bounds. 191-201
  
• Eyal Yair, Allen Gersho:
  The Boltzmann Perceptron Network: A soft classifier. 203-221
  
• Hiro-Fumi Yanai, Yasuji Sawada:
  Associative memory network composed of neurons with hysteretic property. 223-228
  
• Donald L. Wenskay:
  Intellectual property protection for neural networks. 229-236
  

Volume 3, Number 3, 1990

• Hanspeter A. Mallot, Werner von Seelen, Fotios Giannakopoulos:
  Neural mapping and space-variant image processing. 245-263
  
• Robert Fanelli, Theodore Raphan, Charles Schnabolk:
  Neural network modelling of eye compensation during off-vertical-axis rotation. 265-276
  
• Stanley C. Ahalt, Ashok K. Krishnamurthy, Prakoon Chen, Douglas E. Melton:
  Competitive learning algorithms for vector quantization. 277-290
  
• Neil A. Thacker, John E. W. Mayhew:
  Designing a layered network for context sensitive pattern classification. 291-299
  
• X. Xu, W. T. Tsai:
  Constructing associative memories using neural networks. 301-309
  
• Emanuel Marom:
  Associative memory neural networks with concatenated vectors and nonzero diagonal terms. 311-318
  
• Jung-Hua Wang, Thomas F. Krile, John F. Walkup:
  Determination of hopfield associative memory characteristics using a single parameter. 319-331
  
• Howard C. Card, Will R. Moore:
  Silicon models of associative learning in Aplysia. 333-346
  
• P. Occhinegro, Roberto Tagliaferri:
  Classes of efficiently computable linear neural nets. 347-353
  
• Mohamad H. Hassoun, Ashvin J. Sanghvi:
  Fast computation of optimal paths in two- and higher-dimension maps. 355-363
  

Volume 3, Number 4, 1990

• Andrew R. Webb, David Lowe:
  The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis. 367-375
  
• Ahmed Hemani, Adam Postula:
  Cell placement by self-organisation. 377-383
  
• Giuseppe Martinelli, Lucio Prina Ricotti, Susanna Ragazzini:
  Nonstationary lattice quantization by a self-organizing neural network. 385-393
  
• Hermann Haken, J. A. Scott Kelso, Armin Fuchs, Abhijit S. Pandya:
  Dynamic pattern recognition of coordinated biological motion. 395-401
  
• Etienne Barnard, David Casasent:
  Shift invariance and the neocognitron. 403-410
  
• Yutaka Sakaguchi:
  Topographic organization of nerve field with teacher signal. 411-421
  
• Wolfgang Banzhaf, Hermann Haken:
  Learning in a competitive network. 423-435
  
• Hung-Chun Yau, Michael T. Manry:
  Iterative improvement of a Gaussian classifier. 437-443
  
• David H. Wolpert:
  Constructing a generalizer superior to NETtalk via a mathematical theory of generalization. 445-452
  
• Léon Bottou, Françoise Fogelman-Soulié, P. Blanchet, Jean-Sylvain Liénard:
  Speaker-independent isolated digit recognition: Multilayer perceptrons vs. Dynamic time warping. 453-465
  
• M. A. Styblinski, Tian-Shen Tang:
  Experiments in nonconvex optimization: Stochastic approximation with function smoothing and simulated annealing. 467-483
  

Volume 3, Number 5, 1990

• Haluk Ögmen, S. Gagné:
  Neural network architectures for motion perception and elementary motion detection in the fly visual system. 487-505
  
• Dean V. Buonomano, Douglas A. Baxter, John H. Byrne:
  Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning. 507-523
  
• David M. Clark, K. Ravishankar:
  Acquisition and decay rates in synaptically coded memory. 525-533
  
• Halbert White:
  Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings. 535-549
  
• Kurt Hornik, Maxwell B. Stinchcombe, Halbert White:
  Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. 551-560
  
• Tom Tollenaere:
  SuperSAB: Fast adaptive back propagation with good scaling properties. 561-573
  
• John Shawe-Taylor, David A. Cohen:
  Linear programming algorithm for neural networks. 575-582
  
• David G. Bounds, Paul J. Lloyd, Bruce G. Mathew:
  A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders. 583-591
  
• Ronald H. Silverman, Andrew S. Noetzel:
  Image processing and pattern recognition in ultrasonograms by backpropagation. 593-603
  

Volume 3, Number 6, 1990

• Michael A. Cohen:
  The stability of sustained oscillations in symmetric cooperative-competitive networks. 609-612
  
• Santosh S. Venkatesh, Girish Pancha, Demetri Psaltis, Gabriel Sirat:
  Shaping attraction basins in neural networks. 613-623
  
• Shigeru Tanaka:
  Theory of self-organization of cortical maps: Mathematical framework. 625-640
  
• Esther Levin:
  A recurrent neural network: Limitations and training. 641-650
  
• Eric Mjolsness, Charles Garrett:
  Algebraic transformations of objective functions. 651-669
  
• Vijaykumar Gullapalli:
  A stochastic reinforcement learning algorithm for learning real-valued functions. 671-692
  
• Bernhard R. Kämmerer, Wolfgang A. Küpper:
  Experiments for isolated-word recognition with single- and two-layer perceptrons. 693-706
  
• Amir F. Atiya:
  An unsupervised learning technique for artificial neural networks. 707-711