Journal: Neural Networks

Volume 2, Issue 6

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

Volume 2, Issue 5

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

Volume 2, Issue 4

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

Volume 2, Issue 3

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

Volume 2, Issue 2

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

Volume 2, Issue 1

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