Neural Networks, Volume 2

Volume 2, Number 1, 1989

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
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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
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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 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
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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
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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
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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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