- Stephen Grossberg:
**The second anniversary of**1-*Neural Networks*.

- 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

- 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

- 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**333-346*Aplysia*.

- 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

- 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

- 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

- 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