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ORCIDNeural 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
- Michael Seibert, Allen M. Waxman:
Spreading activation layers, visual saccades, and invariant representations for neural pattern recognition systems. 9-27 - 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 - Pierre Baldi, Kurt Hornik
:
Neural networks and principal component analysis: Learning from examples without local minima. 53-58 - Ian Parberry, Georg Schnitger:
Relating Boltzmann machines to conventional models of computation. 59-67 - Daniel Gardner:
Noise modulation of synaptic weights in a biological neural network. 69-76
Volume 2, Number 2, 1989
- Stephen Grossberg, Nestor A. Schmajuk:
Neural dynamics of adaptive timing and temporal discrimination during associative learning. 79-102 - Daniel S. Levine, Paul S. Prueitt:
Modeling some effects of frontal lobe damage--Novelty and perseveration. 103-116 - Nabil H. Farhat, Baocheng Bai:
Echo inversion and target shape estimation by neuromorphic processing. 117-125 - Jack H. Winters, Christopher Rose:
Minimum distance automata in parallel networks for optimum classification. 127-132 - Martin Bichsel, Peter Seitz:
Minimum class entropy: A maximum information approach to layered networks. 133-141 - 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
- Helge J. Ritter, Thomas Martinetz, Klaus Schulten:
Topology-conserving maps for learning visuo-motor-coordination. 159-168 - Gail A. Carpenter, Stephen Grossberg, Courosh Mehanian:
Invariant recognition of cluttered scenes by a self-organizing ART architecture: CORT-X boundary segmentation. 169-181 - Ken-ichi Funahashi:
On the approximate realization of continuous mappings by neural networks. 183-192 - Michael Lemmon, B. V. K. Vijaya Kumar:
Emulating the dynamics for a class of laterally inhibited neural networks. 193-214 - Dziem D. Nguyen, James S. J. Lee:
A new LMS-based algorithm for rapid adaptive classification in dynamic environments. 215-228 - Granino A. Korn:
A new environment for interactive neural network experiments. 229-237
Volume 2, Number 4, 1989
- Gail A. Carpenter:
Neural network models for pattern recognition and associative memory. 243-257 - Michail Zak:
Terminal attractors in neural networks. 259-274 - Mohamad H. Hassoun:
Dynamic heteroassociative neural memories. 275-287 - Hans J. Bentz, Michael Hagstroem, Günther Palm:
Information storage and effective data retrieval in sparse matrices. 289-293 - Etienne Deprit:
Implementing recurrent back-propagation on the connection machine. 295-314 - 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
- Morris W. Hirsch:
Convergent activation dynamics in continuous time networks. 331-349 - Otmar Bock:
A neural network predicting posterior parietal cortex function in the control of goal-directed arm movements. 351-358 - Kurt Hornik, Maxwell B. Stinchcombe, Halbert White:
Multilayer feedforward networks are universal approximators. 359-366 - Norio Baba:
A new approach for finding the global minimum of error function of neural networks. 367-373 - Kenji Doya, Shuji Yoshizawa:
Adaptive neural oscillator using continuous-time back-propagation learning. 375-385 - A. Rajavelu, Mohamad T. Musavi, Mukul Vassant Shirvaikar:
A neural network approach to character recognition. 387-393 - Allan Hartstein, Roger H. Koch:
A neural network capable of forming associations by example. 395-403
Volume 2, Number 6, 1989
- Kunihiko Fukushima:
Analysis of the process of visual pattern recognition by the neocognitron. 413-420 - Stephen Grossberg, Michael E. Rudd:
A neural architecture for visual motion perception: Group and element apparent motion. 421-450 - Shun-ichi Amari:
Characteristics of sparsely encoded associative memory. 451-457 - Terence D. Sanger:
Optimal unsupervised learning in a single-layer linear feedforward neural network. 459-473 - Carsten Peterson, Eric Hartman:
Explorations of the mean field theory learning algorithm. 475-494 - Anthony C. C. Coolen, F. W. Kuijk:
A learning mechanism for invariant pattern recognition in neural networks. 495-506
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