Volume 2, Number 1, 1989

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  The first anniversary of INNS : presented to the First annual meeting of the international neural network society by Stephen Grossberg INNS Founder and President September 6, 1988 Park Plaza Hotel Boston, Massachusett. 1-8
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  Michael Seibert, Allen M. Waxman: Spreading activation layers, visual saccades, and invariant representations for neural pattern recognition systems. 9-27
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  Stephen Grossberg, Jonathan A. Marshall: Stereo boundary fusion by cortical complex cells: A system of maps, filters, and feedback networks for multiplexing distributed data. 29-51
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  Pierre Baldi, Kurt Hornik: Neural networks and principal component analysis: Learning from examples without local minima. 53-58
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  Ian Parberry, Georg Schnitger: Relating Boltzmann machines to conventional models of computation. 59-67
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  Daniel Gardner: Noise modulation of synaptic weights in a biological neural network. 69-76

Volume 2, Number 2, 1989

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  Stephen Grossberg, Nestor A. Schmajuk: Neural dynamics of adaptive timing and temporal discrimination during associative learning. 79-102
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  Daniel S. Levine, Paul S. Prueitt: Modeling some effects of frontal lobe damage--Novelty and perseveration. 103-116
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  Nabil H. Farhat, Baocheng Bai: Echo inversion and target shape estimation by neuromorphic processing. 117-125
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  Jack H. Winters, Christopher Rose: Minimum distance automata in parallel networks for optimum classification. 127-132
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  Martin Bichsel, Peter Seitz: Minimum class entropy: A maximum information approach to layered networks. 133-141
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  Darryl D. Coon, A. G. Unil Perera: Integrate-and-fire coding and Hodgkin-Huxley circuits employing silicon diodes. 143-151

Volume 2, Number 3, 1989

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  Helge Ritter, Thomas Martinetz, Klaus Schulten: Topology-conserving maps for learning visuo-motor-coordination. 159-168
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  Gail A. Carpenter, Stephen Grossberg, Courosh Mehanian: Invariant recognition of cluttered scenes by a self-organizing ART architecture: CORT-X boundary segmentation. 169-181
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  Ken-ichi Funahashi: On the approximate realization of continuous mappings by neural networks. 183-192
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  Michael L. Lemmon, B. V. K. Vijaya Kumar: Emulating the dynamics for a class of laterally inhibited neural networks. 193-214
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  Dziem D. Nguyen, James S. J. Lee: A new LMS-based algorithm for rapid adaptive classification in dynamic environments. 215-228
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  Granino A. Korn: A new environment for interactive neural network experiments. 229-237

Volume 2, Number 4, 1989

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  Gail A. Carpenter: Neural network models for pattern recognition and associative memory. 243-257
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  Michail Zak: Terminal attractors in neural networks. 259-274
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  Mohamad H. Hassoun: Dynamic heteroassociative neural memories. 275-287
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  Hans J. Bentz, Michael Hagstroem, Günther Palm: Information storage and effective data retrieval in sparse matrices. 289-293
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  Etienne Deprit: Implementing recurrent back-propagation on the connection machine. 295-314
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  Joe Eisenberg, Walter J. Freeman, Brian C. Burke: Hardware architecture of a neural network model simulating pattern recognition by the olfactory bulb. 315-325

Volume 2, Number 5, 1989

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  Morris W. Hirsch: Convergent activation dynamics in continuous time networks. 331-349
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  Otmar Bock: A neural network predicting posterior parietal cortex function in the control of goal-directed arm movements. 351-358
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  Kurt Hornik, Maxwell B. Stinchcombe, Halbert White: Multilayer feedforward networks are universal approximators. 359-366
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  Norio Baba: A new approach for finding the global minimum of error function of neural networks. 367-373
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  Kenji Doya, Shuji Yoshizawa: Adaptive neural oscillator using continuous-time back-propagation learning. 375-385
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  A. Rajavelu, Mohamad T. Musavi, Mukul Vassant Shirvaikar: A neural network approach to character recognition. 387-393
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  Allan Hartstein, R. H. Koch: A neural network capable of forming associations by example. 395-403

Volume 2, Number 6, 1989

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  Kunihiko Fukushima: Analysis of the process of visual pattern recognition by the neocognitron. 413-420
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  Stephen Grossberg, Michael E. Rudd: A neural architecture for visual motion perception: Group and element apparent motion. 421-450
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  Shun-ichi Amari: Characteristics of sparsely encoded associative memory. 451-457
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  Terence D. Sanger: Optimal unsupervised learning in a single-layer linear feedforward neural network. 459-473
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  Carsten Peterson, Eric Hartman: Explorations of the mean field theory learning algorithm. 475-494
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  Anthony C. C. Coolen, F. W. Kuijk: A learning mechanism for invariant pattern recognition in neural networks. 495-506

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