3 | -- | 6 | Subutai Ahmad, Gerald Tesauro. A study of scaling and generalization in neural networks |
7 | -- | 8 | Gyorgy Barna, Ron Chrisley, Teuvo Kohonen. Statistical pattern recognition with neural networks |
9 | -- | 0 | Farokh B. Bastani, S. Sitharama Iyengar, Sandeep Gulati. An analysis of competing neural network knowledge representation strategies |
10 | -- | 17 | Diane J. Blackwood, Wesley R. Elsberry, Samuel J. Leven. Competing network models and problem-solving |
18 | -- | 0 | Maureen Caudill, Charles W. Butler. Comparison of internal processing of different network paradigms |
19 | -- | 20 | David H. Collins. Two-dimensional pattern sequence prediction using high-order neural networks |
21 | -- | 22 | William B. Feild Jr., Jainendra K. Navlakha. On Hopfield neural networks |
23 | -- | 0 | Stephen I. Gallant. A neural network model for sequential tasks |
24 | -- | 25 | Patrick Gallinari, Sylvie Thiria, Françoise Fogelman-Soulié. Comparing neural networks and data analysis |
26 | -- | 29 | David B. Hertz, E. Lee, J. D. Lynch. Certainty worlds, risk judgments, and neural net design |
30 | -- | 34 | George G. Lendaris. On comparing neural net training paradigms via graded pattern recognition tasks |
35 | -- | 42 | L. Masih, T. John Stonham. Digital neural networks - A distributed architecture with self-evolving capabilities |
43 | -- | 0 | S. J. Rak, P. J. Kolodzy. Invariant object recognition with the adaptive resonance (ART) network |
44 | -- | 0 | P. A. Ramamoorthy, S. Ho. A neural network approach for implementing expert systems |
45 | -- | 46 | Paul Rhodes. Pattern storage and recall performance in a Hebb network generalizing the cerebral cortex |
47 | -- | 50 | Alan Rojer, Eric Schwartz. A new pattern classifier motivated by brain maps |
51 | -- | 0 | J. F. Shepanski. Multilayer preceptron training using optimal estimation |
52 | -- | 0 | Katsunori Shimohara, Yukio Tokunaga, Tadasu Uchiyama, Yoshimasa Kimura. A neural network system with an automatic generation mechanism for distorted patterns |
53 | -- | 0 | Bruno Sirletti, Michel Verleysen, Andre M. Vandemeulebroecke, Paul G. A. Jespers. An algorithm for pattern recognition with VLSI neural networks |
54 | -- | 55 | Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee. Learning decision trees using parallel sequential induction network |
56 | -- | 59 | Santosh S. Venkatesh, Girish Pancha, Demetri Psaltis. Composite algorithms for shaping attraction basins |
60 | -- | 66 | Michael Werman. The capacity of k-gridgraphs as associative memory |
67 | -- | 69 | Robert B. Allen, Mark E. Riecken. Interacting and communicating connectionist agents |
70 | -- | 74 | Agnessa Babloyantz, Alain Destexhe, Jacques-A. Sepulchre. Selforganization and information processing of neural networks |
75 | -- | 77 | Aviv Bergman. Variation and selection: An evolutionary model of learning in neural networks |
78 | -- | 0 | Thomas M. Breuel. Problem-intrinsic bounds on sample complexity |
79 | -- | 80 | A. E. Busch, L. E. H. Trainor. Neural network models with higher order neural interactions |
81 | -- | 82 | Gianpiero Cattaneo, Nicolò Cesa-Bianchi. Microcanonical annealing on neural networks |
83 | -- | 84 | David A. Cohen, C. Mannion, John Shawe-Taylor. Transformational theory of feedforward neural networks |
85 | -- | 87 | Thomas J. Collins. Cerebral cortical parallel processing using a metric tensor |
88 | -- | 0 | Todd R. Davies. Some notes on the probabilistic semantics of logistic function parameters in neural networks |
89 | -- | 90 | Bart De Moor, Lieven Vandenberghe, Joos Vandewalle. Computing all invariant states of a neural network |
91 | -- | 0 | Faiq Ali Fazal. An application-based study of the stochastic parallel computations in harmony theory |
92 | -- | 0 | Marcelo Fogaça, Alan Kramer, Barbara Moore. Scalability issues in neural networks |
93 | -- | 0 | Shohei Fujita. Self-organization in distributed operating system |
94 | -- | 0 | B. Furman, J. Liang, Harold Szu. Constraint optimization neural network for adaptive early vision |
95 | -- | 99 | C. Lee Giles, R. D. Griffin, T. Maxwell. Computational advantages of higher order neural networks |
100 | -- | 0 | David Heath, Carl Diegert. On learning through competition |
101 | -- | 0 | Karen A. Huyser, Mark A. Horowitz. Generalization in digital functions |
102 | -- | 0 | J. Zachary Jacobson, Norman J. Pullman, William C. Treurniet. Transitions between network states may cause both equipotentiality and localization of function in cerebral cortex |
103 | -- | 0 | Moshe Kam, Ari Naim, Kevin Atteson. The symmetric adaptive resonance theoretic model (SMART) |
104 | -- | 0 | Behzad Kamgar-Parsi, Behrooz Kamgar-Parsi. The importance of being synchronous in neural networks |
105 | -- | 107 | Behzad Kamgar-Parsi, Behrooz Kamgar-Parsi, J. Anthony Gualtieri, Judy E. Devaney. Simultaneous fitting of several curves to point sets using neural networks |
108 | -- | 112 | F. H. Ling, N. Xu, J. H. Xu. Non-empty box counting algorithm for calculating fractal dimensions and its applications in EEG analysis |
113 | -- | 115 | Anaikuppam R. Marudarajan, Harold Szu. Neural computing approach to number theory problems |
116 | -- | 119 | Barbara Moore. ART I and pattern clustering algorithms |
120 | -- | 0 | R. K. Pearson. Ultrametrics, pseudo-ultrametrics, fuzzy sets, and pattern recognition |
121 | -- | 123 | J. C. Pérez, Jean-Michel Bertille. "FRACTAL CHAOS" a new neural network holographic model |
124 | -- | 0 | C. R. Renfrew, J. R. Malone, A. Todd. A classificatory network based on a study of the neocortex |
125 | -- | 126 | Rod Rinkus. Learning as natural selection in a sensori-motor being |
127 | -- | 0 | Terence D. Sanger. Optimal unsupervised learning |
128 | -- | 129 | Samir Sayech, Mancel F. Tenorio. A learning rule for neural networks with an application to an optimization problem |
130 | -- | 136 | William A. Sethares. A convergence theorem for the modified delta rule |
137 | -- | 138 | Paul E. Stolorz, G. W. Hoffmann. Learning with recurrent networks and constant synaptic strengths |
139 | -- | 140 | J. P. Sutton, L. E. H. Trainor. Nested neural circuits, multi-level memory and learning by selection |
141 | -- | 142 | Hideo Tanaka, Satoshi Matsuda, Hiromi Ogi, Yoshio Izui, Hisao Taoka, Toshiaki Sakaguchi. Redundant coding for fault tolerant computing on Hopfield network |
144 | -- | 147 | G. Vichniac, Marianne Lepp, Martha Steenstrup. A neural network for the optimization of communications network design |
148 | -- | 0 | Rodney Winter, Bernard Widrow. MADALINE Rule II: A training algorithm for neural networks |
149 | -- | 0 | X. Xu, W. T. Tsai, N. K. Huang. Information capacity of McCulloch Pitts' model |
150 | -- | 0 | X. Xu, W. T. Tsai, N. K. Huang. A generalized neural network model |
151 | -- | 0 | X. Xu, S. Chen, W. T. Tsai, N. K. Huang. A case study of solving optimization problems using neural networks |
152 | -- | 0 | Yong Yao. Dynamic tunneling algorithm and simulatted annealing circuit for global optimization |
153 | -- | 156 | Alan L. Yuille, Daniel M. Kammen. Spontaneous symmetry-breaking energy functions, orientation selective cortical cells, and hypercolumnar cell assemblies |
157 | -- | 160 | James A. Anderson, Arthur B. Markman, Susan R. Viscuso, Edward J. Wisniewski. Programming neural networks |
161 | -- | 162 | John A. Barnden. Commonsense reasoning in Conposit, a quasi-connectionist register-array model |
163 | -- | 164 | Tony Bell. Attractor transitions: A basis for sequential processing in neural networks? |
165 | -- | 0 | Maureen Caudill. Benchmarking the performance of backpropagation and couterpropagation networks |
166 | -- | 167 | Tzi-Dar Chiueh, Rodney M. Goodman. Learning algorithms for neural networks with ternary weights |
168 | -- | 171 | Yann LeCun. Using curvature information to improve back-propagation |
172 | -- | 173 | Victor Eliashberg. The E-machines: Associative neural networks as nonclassical symbolic processors |
174 | -- | 0 | Jeffrey E. Fookson, John Antrobus. Executive control in a PDP system: Automatization of task performance and mindwandering |
175 | -- | 0 | Walter J. Freeman. Neurodynamics of pattern recognition in biological neural networks |
176 | -- | 181 | Qian Gao, Zili Liu. Spatio-temporal associative memory and a high-order correlation neuronal network |
182 | -- | 0 | Ronald L. Greene. Learning generalization in simple linear discriminant networks |
183 | -- | 186 | Hiroaki Hara. Two storage mechanisms in random network system: Probabilistic model of memory |
187 | -- | 0 | Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos. The correlational associative memory realizes Hebbian learning |
188 | -- | 189 | K. Kato, K. Nakane. An associative memory model based on a quantification method |
190 | -- | 198 | Jason M. Kinser, H. John Caulfield, C. Hester. Error-correcting neural networks |
199 | -- | 0 | Christopher J. Matheus. Exemplar versus prototype network models for concept representation |
200 | -- | 201 | Gee-gwo Mei, Wentai Liu. Design graph search problems with learning: A neural network approach |
202 | -- | 0 | John E. Moody, Christian Darken. Speedy alternatives to back propagation |
203 | -- | 0 | B. Moore, Tomaso Poggio. Representation properties of multilayer feedforward networks |
204 | -- | 0 | Mary M. Moya, R. Joseph Fogler, Larry D. Hostetler. Back propagation for perspective-invariant pattern recognition in sar imagery |
205 | -- | 207 | Catherine Myers, Igor Aleksander. Learning algorithms for probabilistic neural nets |
208 | -- | 210 | M. Pavel, Mark A. Gluck, Van Henkle. Comparing generalization by humans and adaptive networks |
211 | -- | 212 | Tomaso Poggio. Learning, regularization and splines |
213 | -- | 214 | Gareth D. Richards. Investigation of a layered network as an associative memory |
215 | -- | 216 | Yehuda Salu. Associative retrieval and restoration of data in neural networks |
217 | -- | 0 | Gregor Schöner, J. A. Scott Kelso. A dynamic pattern theory of learning and recall |
218 | -- | 0 | Zoltan Schreter. Sequential processing by overlap and fatigue of memories |
219 | -- | 221 | Noel E. Sharkey. A PDP system for paraphrasing routine knowledge vignettes |
222 | -- | 0 | Dejan J. Sobaiic, Dennis T. Lee, Yoh-Han Pao. Increased effectiveness of learning by local neural feedback |
223 | -- | 0 | Sara A. Solla. Learning contiguity with layered neural networks |
224 | -- | 226 | Kunio Suzuki, Chiaki Aoyama. Neural network simulation and pandemonium |
227 | -- | 0 | DeLiang Wang, Irwin King. Three neural models which process temporal information |
228 | -- | 230 | Shengrui Wang. Training multi-layered neural networks with T.R. Based algorithm |
231 | -- | 237 | Alexis Wieland, Russell Leighton. Shaping schedules as a method for accelerated learning |
238 | -- | 246 | Herbert Axelrad, Christophe P. Bernard, Bertrand Giraud. Global changes in entropy and in spatial organisation of activity in a network of formal neurons with inhibitory interactions |
247 | -- | 0 | Max S. Cynader. Some design features of visual cortex |
248 | -- | 249 | Robert Fanelli, Charles Schnabolk, Theodore Raphan. Neural network modelling of velocity estimation during off-vertical axis rotation (ovar) |
250 | -- | 251 | Masahiko Fujita. A proposed system of inhibition in the deeper layers of the superior colliculus |
252 | -- | 253 | Fotios Giannakopoulos, Hanspeter A. Mallot. A nonlinear layered model of cortical dynamics |
254 | -- | 0 | Richard Granger, Jose A. Ambros-Ingerson, Gary Lynch. Formal analysis of aggregate function of layer II cerebral cortex |
255 | -- | 0 | Guenter W. Gross, M. H. Hightower, Jacek M. Kowalski. Multielectrode burst pattern feature extraction from mammalian networks in culture |
256 | -- | 258 | Daniel K. Hartline. Models for simulation of real neural networks |
259 | -- | 0 | Toshio Inui, Sei Miyake, K. Kani. Receptive field density of y cells estimated by a model of human retina |
260 | -- | 263 | Tomoaki Itayama, O. Koizumi, Yasuji Sawada. Neural network formation in an aggregate of dissociate hydra cells |
264 | -- | 0 | V. I. Kryukov. The metastable and unstable states in the brain |
265 | -- | 0 | George McKee. Rule-based growth of FFT butterfly networks |
266 | -- | 0 | Kenneth D. Miller, Joseph B. Keller, Michael P. Stryker. Network model of ocular dominance column formation: Analytical results |
267 | -- | 0 | Kenneth D. Miller, Michael P. Stryker, Joseph B. Keller. Network model of ocular dominance column formation: Computational results |
268 | -- | 269 | Patrick L. Nash, Paulus B. Muljadi, Matthew J. Wayner, David M. Senseman. High-speed imaging of electrical activity: Watching the brain think on MTV/2 |
270 | -- | 0 | Michael J. Pont. A neural model of the mechanisms underlying infant perception of voice-onset time |
271 | -- | 274 | Muriel D. Ross, Glenn Meyer, Tony Lam, Wilson Or, Lynn Cutler. Computer-aided research into a natural neural network |
275 | -- | 0 | Shahid S. Siddiqui. Molecular correlates of neural network mediating touch sensitivity in |
276 | -- | 278 | Nobuo Suga. Neural computation for auditory imaging |
279 | -- | 0 | Naftali Tishby. Nonlinear dynamical modeling of speech using neural networks |
280 | -- | 284 | Shiro Usui, Hidetoshi Ikeno, Manabu Sakakibara, Daniel L. Alkon. Neural principles of associative learning: Reconstruction of ionic currents in the type B photoreceptor |
285 | -- | 286 | Z. G. An, Susan M. Mniszewski, Y. C. Lee, G. J. Papcun, G. D. Doolen. Hiertalker: A default hierarchy of high order neural networks that learns to read english aloud |
287 | -- | 291 | Alessandro Arbitrio, Cristina Delogu. Towards a connectionist model of Italian morphology |
292 | -- | 293 | Laurel H. Carney. Neural models for temporal encoding of information by the auditory periphery and for temporal processing in the anteroventral cochlear nucleus of cat |
294 | -- | 0 | D. Chien, M. Featherstone, K. S. Min, Charles H. Rogers. Speech separation with artifical neural networks |
295 | -- | 296 | Min I. Chung. Neural network as generalized transversal filters |
297 | -- | 299 | Thierry Hervé, Jacques Demongeot. Random field and tonotopy: Simulation of an auditory neural network |
300 | -- | 301 | Toshio Irino, Hideki Kawahara. Vowel-feature extraction from cochlear vibration using neural networks |
302 | -- | 305 | Bernhard R. Kämmerer, Wolfgang A. Küpper. Experiments for isolated-word recognition with single-and multi-layer perceptrons |
306 | -- | 0 | Yee-Chun Lee, Hsing-Hen Chen, Guo-Zheng Sun. A neural network approach to speech recognition |
307 | -- | 0 | Mike Malloch. Representation, time, scale, and neural computation |
308 | -- | 310 | Paul Mueller. Computation of temporal pattern primitives in a neural net for speech recognition |
311 | -- | 0 | J. Naylor, A. Higgins, K. P. Li, D. Schmoldt. Speaker recognition using kohonen's self-organizing feature map algorithm |
312 | -- | 0 | Stefano Nolfi, Domenico Parisi. One trial learning of stimulus sequences in a connectionist network |
313 | -- | 316 | Kazuo Okanoya, Robert J. Dooling. Auditory filter simulations for perceptual processes of bird vocalizations |
317 | -- | 319 | Chen-Han Sung. Temporal knowledge: Recognition and learning of time-based patterns |
320 | -- | 322 | William C. Treurniet, M. J. Hunt, C. Lefebvre, J. Zachary Jacobson. Phoneme recognition with a neural network: Comparisons of acoustic representations including those produced by an auditory model |
323 | -- | 328 | Wellington C. P. Yu, Hoon heng Teh. An error tolerant environment of multilayer perceptrons with controlled learning |
329 | -- | 331 | Daniel Bullock, Stephen Grossberg. Neuromuscular realization of planned arm movement trajectories |
332 | -- | 333 | Danilo De Rossi, Giuseppe Casalino, Pietro Morasso, Ferdinando A. Mussa-Ivaldi. Skin & muscles: The basic wet-ware for sensory-motor control |
334 | -- | 340 | Rolf Eckmiller. Concept of a 4-joint machine with neural net control for the generation of 2-dimensional trajectories |
341 | -- | 0 | Gabor Karsai, Kristinn Andersen, Kumar Ramaswamy, George E. Cook. Gas tungsten ARC weld modeling using a mapping network |
342 | -- | 344 | Mitsuo Kawato, Tohru Setoyama, Ryoji Suzuki. Feedback error learning of movement by multi-layer neural network |
345 | -- | 347 | Esther Levin, Raanan Gewirtzman. Artificial neural networks for modeling discrete dynamic systems |
348 | -- | 352 | Pietro Morasso, Renato Zaccaria, Ferdinando A. Mussa-Ivaldi. A parallel distributed architecture for motor control |
353 | -- | 354 | John C. Pearson, Clay Spence, J. J. Gelfand, W. E. Sullivan, R. M. Peterson. Neuronal maps for sensory-motor control in the barn owl |
355 | -- | 356 | Brian Pinette. Maze learning using state-space search performed by a connectionist network |
357 | -- | 0 | Helge J. Ritter, Klaus Schulten. Topology-conserving maps for motor control |
358 | -- | 359 | Robert M. Sanner, David L. Akin. Neuromorphic Regulation of Dynamic Systems Using Back Propagation Networks |
360 | -- | 0 | Chen-Han Sung. A self-organizing process for sensory data fusion and situation analysis |
361 | -- | 0 | R. Rawel, A. P. Thakoor. Neural networks for robotic control |
362 | -- | 365 | Viral V. Tolat, Bernard Widrow. An adaptive neural net controller with visual inputs |
366 | -- | 372 | H. W. Werntges, Wolfgang J. Daunicht. Effects of forgetting on the self-optimization of redundant sensory-motor control networks |
373 | -- | 379 | Jack Bigner, Lin Zhang, Lise K. Cotter, Kristina M. Johnson. An optoelectronic connectionist machine utilizing liquid crystal spatial light modulators |
380 | -- | 382 | Emile Fiesler, Amar Choudry, H. John Caulfield. Weight discretization in backward error propagation neural networks |
383 | -- | 0 | P. K. Gupta, R. Kumaresan. VLSI implementation of neural networks based on PN sequences |
384 | -- | 0 | Steven C. Gustafson, Gordon Little. Neural networks, optical resonators, and dynamic holograms |
385 | -- | 387 | Victor Hu, Alan H. Kramer, P. K. Ko. Eeproms as analog storage devices for neural nets |
388 | -- | 0 | C. D. Kornfeld, Robert C. Frye, Chee C. Wong, Edward A. Rietman. A large hybrid electro-optic computer for neural network applications |
389 | -- | 0 | F. J. Kub, M. G. Ancona, I. A. Mack, K. Moon, C. T. Yao. Architecture for large microelectronic supervised learning artificial neural networks using a hybrid digital-analog approach |
390 | -- | 0 | Sun-Yuan Kung, J.-N. Hwang. Ring systolic designs for artificial neural nets |
391 | -- | 0 | Hua-Kuang Liu, Tien-Hsin Chao, Jacob Barhen. Inner-product optical neural processing and supervised learning |
392 | -- | 0 | Misha Mahowald, Tobi Delbrück. An analog VLSI implementation of the marr-poggio stereo correspondence algorithm |
393 | -- | 395 | Norm May, Dan Hammerstrom. Fault simulation of a wafer-scale integrated neural network |
396 | -- | 398 | Bahram Nabet, Robert B. Darling. Implementation of optical sensory neural networks by simple discrete and monolithic circuits |
399 | -- | 0 | John J. Paulos, Paul W. Hollis. A VLSI architecture for feedforward networks with integral back-propagation |
400 | -- | 0 | B. Potu, P. A. Ramamoorthy. A fully digital architecture for multi-state neural networks |
401 | -- | 0 | Demetri Psaltis, Xiang-guang Gu. Fractal sampling grids for holographic optical interconnections |
402 | -- | 404 | John Rasure, John M. Salas. A VLSI three layer perceptron for binary image classification |
405 | -- | 0 | Mike Rudnick, Dan Hammerstrom. An interconnect structure for wafer scale neurocomputers |
406 | -- | 412 | Srinagesh Satyanarayana, Ken Suyama, Yannis P. Tsividis. Analog MOS circuit techniques in the VLSI implementation of neural networks |
413 | -- | 0 | Yoshiyasu Takefuji, Robert J. Jannarone, Tatung Chen, Yong B. Cho. Silicon Multinomial Conjunctoid Statistical Learning Modules |
414 | -- | 418 | Michel Verleysen, Bruno Sirletti, Paul G. A. Jespers. A large VLSI Hopfield network for pattern recognition problems |
419 | -- | 420 | Edwin Addison, Michael Cain, William Dedmond. Criteria for choosing connectionist paradigms for real-time data fusion and adaptive discrimination |
421 | -- | 425 | Phillip Alvelda, A. Miguel San Martin, C. Bell, Jacob Barhen. Spacecraft attitude determination using neural star pattern recognition |
426 | -- | 0 | Patrick F. Castelaz, James E. Zmuda, Dwight E. Mills. SDI applications of neural network technology |
427 | -- | 434 | Louis Ceci, Patrick Lynn, Phillip E. Gardner. Efficient distribution of backpropagation models on parallel architectures |
435 | -- | 439 | George W. Earle, Harold Szu. Resource allocation using a constraint optimizing adaptive neural network |
440 | -- | 441 | Filson H. Glanz, W. Thomas Miller III. Deconvolution using a CMAC neural network |
442 | -- | 444 | Aloke Guha. Using small multilayer networks to search real hyperspaces |
445 | -- | 448 | Robert Hecht-Nielsen. Theory of the backpropagation neural network |
449 | -- | 458 | I. Kadar, S. Waner, Y. Wu, H. M. Hastings. An approach to restoration and recovery problems using parallel hierarchical neural networks |
459 | -- | 460 | Yagyensh C. Pati, Perinkulam S. Krishnaprasad, Martin Peckerar, C. R. K. Marrian. Neural networks & tactile imaging |
461 | -- | 462 | P. A. Ramamoorthy, G. Govind, V. K. Iyer. Signal modeling and prediction using neural networks |
463 | -- | 465 | Iris P. Roberts. Neural network for radar terrain image recognition |
466 | -- | 472 | Thomas W. Ryan. Application of hierarchical networks in analog pattern categorization |
473 | -- | 476 | Richard C. Windecker. Nondeterministic adaptive automata that play matching pennies |
477 | -- | 0 | Youngohc Yoon, Lynn L. Peterson, Paul R. Bergstresser. Desknet: The dermatology expert system with knowledge-based network |
478 | -- | 480 | James E. Zmuda. Target recognition using adaptive resonance neural networks |
481 | -- | 0 | Timothy P. Allen, Carver A. Mead. A silicon retina for computing local edge orientations |
482 | -- | 0 | Heinrich H. Bülthoff, James J. Little, Hanspeter A. Mallot. Neural mapping and parallel optical flow computation for autonomous navigation |
483 | -- | 484 | Stavros N. Busenberg, Louis Rossi. Optimization of rotationally invariant object recognition in a neural network |
485 | -- | 0 | Mohamed Chellali, Vinay K. Ingle. Multichannel approach to adaptive image restoration using the 2-D least squares algorithm |
486 | -- | 487 | Sandra P. Clifford, Nasser M. Nasrabadi. Integration of stereo-vision and optical flow using markov random fields |
488 | -- | 491 | John Daugman. Neural networks for image transformation, analysis, and compression |
492 | -- | 0 | D. Feld, B. Parnas. An analytical model of lateral inhibition in the visual system |
493 | -- | 0 | S. Gardner. Morphology of neural networks in the mammalian visual system |
494 | -- | 496 | Davi Geiger, Daphna Weinshall. Labeling edges with a linear network: An integration of low-level vision modules |
497 | -- | 498 | Bernd Girod. Spatial and temporal masking by saturation in the human fovea |
499 | -- | 505 | Hayit Greenspan, M. Fleisher, Moshe Porat, Yehoshua Y. Zeevi. Glass pattern recognition with neural-networks |
506 | -- | 509 | Daniel Kersten, Daniel J. Plummer. Reflectance estimation in the presence of sharp shadows or transparency |
510 | -- | 511 | Feng Li, Guozheng Yao, Yun-jiu Wang. A new neural network model for line drawing texture segmentation |
512 | -- | 513 | Luis R. Lopez. Feedforward shunting: The role of 3rd order correlations in neural synchroneity |
514 | -- | 0 | Hanspeter A. Mallot, Werner von Seelen. Neural mappings and space-variant image processing |
515 | -- | 0 | H. Midorikawa. The face pattern identification by back-propagation learning procedure |
516 | -- | 517 | Ennio Mingolla. Recent results in emergent visual segmentation |
518 | -- | 0 | Nasser M. Nasrabadi, Yushu Feng. Vector quantization of images based upon the kohonen self-organization feature maps |
519 | -- | 0 | Haluk Ögmen, S. Gagné. Short range motion detection in the insect visual system |
520 | -- | 523 | Omid M. Omidvar. Realization of visual perception via synaptic reinforcement |
524 | -- | 527 | Mukul Vassant Shirvaikar, Mohamad T. Musavi. A neural network classifier for character recognition |
528 | -- | 530 | Y. Tsukamoto, Robert G. Smith, P. Sterling. "Collective coding": A mechanism to improve the signal/noise ratio of the retinal ganglion cell |
531 | -- | 0 | W. A. Wright. Contextual image segmentation with a neural network |
532 | -- | 533 | Tony Zador, Gene Gindi, Eric Mjolsness, P. Anandan. Neural network for model based recognition: Simulation results |
534 | -- | 543 | Steven W. Zucker. The organization of curve detection: Coarse tangent fields and fine spline coverings |
544 | -- | 0 | Nobuki Kajihara, Satoshi Matsushita, Toshiyuki Nakata, Nobuhiko Koike. Parallel neural network simulation machine: Neuman |
545 | -- | 546 | Paul J. Kolodzy, Murali M. Menon. Simulation and implementation considerations with classification networks |
547 | -- | 549 | Sun-Yuan Kung, Jenq-Neng Hwang. An algebraic projection analysis for back-propagation learning |
550 | -- | 556 | Kia-Fock Loe, Loke-Soo Hsu, Sing-Chai Chan, H. B. Low. An object-oriented language for neural network simulation |
557 | -- | 0 | Alexis Wieland, Russell Leighton, William Morgart. Aspirin for migraines |