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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
1992 (conf/nips/1992)

  1. Nathan Intrator
    On the Use of Projection Pursuit Constraints for Training Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:3-10 [Conf]
  2. Andreas Stolcke, Stephen M. Omohundro
    Hidden Markov Model} Induction by Bayesian Model Merging. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:11-18 [Conf]
  3. Kai-Yeung Siu, Vwani P. Roychowdhury, Thomas Kailath
    Computing with Almost Optimal Size Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:19-26 [Conf]
  4. Janet Wiles, Mark Ollila
    Intersecting Regions: The Key to Combinatorial Structure in Hidden Unit Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:27-33 [Conf]
  5. Tony Plate
    Holographic Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:34-41 [Conf]
  6. Harris Drucker, Robert E. Schapire, Patrice Simard
    Improving Performance in Neural Networks Using a Boosting Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:42-49 [Conf]
  7. Patrice Simard, Yann LeCun, John S. Denker
    Efficient Pattern Recognition Using a New Transformation Distance. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:50-58 [Conf]
  8. Kai-Yeung Siu, Vwani P. Roychowdhury
    Optimal Depth Neural Networks for Multiplication and Related Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:59-64 [Conf]
  9. Sreerupa Das, C. Lee Giles, Guo-Zheng Sun
    Using Prior Knowledge in a {NNPDA} to Learn Context-Free Languages. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:65-72 [Conf]
  10. Yaser S. Abu-Mostafa
    A Method for Learning From Hints. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:73-80 [Conf]
  11. Charles W. Anderson
    Q-Learning with Hidden-Unit Restarting. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:81-88 [Conf]
  12. J. Stephen Judd, Paul W. Munro
    Nets with Unreliable Hidden Nodes Learn Error-Correcting Codes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:89-96 [Conf]
  13. Richard K. Belew
    Interposing an Ontogenetic Model Between Genetic Algorithms and Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:99-106 [Conf]
  14. J. Jeffrey Mahoney, Raymond J. Mooney
    Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:107-114 [Conf]
  15. Mark B. Ring
    Learning Sequential Tasks by Incrementally Adding Higher Orders. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:115-122 [Conf]
  16. Bernd Fritzke
    Kohonen Feature Maps and Growing Cell Structures - a Performance Comparison. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:123-130 [Conf]
  17. Brian V. Bonnlander, Michael Mozer
    Metamorphosis Networks: An Alternative to Constructive Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:131-138 [Conf]
  18. Eric I. Chang, Richard Lippmann
    A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:139-146 [Conf]
  19. Isabelle Guyon, Bernhard E. Boser, Vladimir Vapnik
    Automatic Capacity Tuning of Very Large VC-Dimension Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:147-155 [Conf]
  20. Yann LeCun, Patrice Simard, Barak A. Pearlmutter
    Automatic Learning Rate Maximization in Large Adaptive Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:156-163 [Conf]
  21. Babak Hassibi, David G. Stork
    Second Order Derivatives for Network Pruning: Optimal Brain Surgeon. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:164-171 [Conf]
  22. Richard S. Zemel, Christopher K. I. Williams, Michael Mozer
    Directional-Unit Boltzmann Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:172-179 [Conf]
  23. Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee
    Time Warping Invariant Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:180-187 [Conf]
  24. Enno Littmann, Helge Ritter
    Generalization Abilities of Cascade Network Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:188-195 [Conf]
  25. Gerhard Paass
    Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:196-203 [Conf]
  26. Lorien Y. Pratt
    Discriminability-Based Transfer between Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:204-211 [Conf]
  27. Barry Flower, Marwan A. Jabri
    Summed Weight Neuron Perturbation: An O(N) Improvement Over Weight Perturbation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:212-219 [Conf]
  28. Virginia R. de Sa, Dana H. Ballard
    A Note on Learning Vector Quantization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:220-227 [Conf]
  29. William Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann
    Extended Regularization Methods for Nonconvergent Model Selection. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:228-235 [Conf]
  30. Bill Baird, Todd Troyer, Frank H. Eeckman
    Synchronization and Grammatical Inference in an Oscillating Elman Net. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:236-243 [Conf]
  31. Gert Cauwenberghs
    A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:244-251 [Conf]
  32. David DeMers, Kenneth Kreutz-Delgado
    Global Regularization of Inverse Kinematics for Redundant Manipulators. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:255-262 [Conf]
  33. Andrew W. Moore, Christopher G. Atkeson
    Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:263-270 [Conf]
  34. Peter Dayan, Geoffrey E. Hinton
    Feudal Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:271-278 [Conf]
  35. Dean Pomerleau
    Input Reconstruction Reliability Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:279-286 [Conf]
  36. Tom M. Mitchell, Sebastian Thrun
    Explanation-Based Neural Network Learning for Robot Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:287-294 [Conf]
  37. Steven J. Bradtke
    Reinforcement Learning Applied to Linear Quadratic Regulation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:295-302 [Conf]
  38. Christopher Bowman
    Neural Network On-Line Learning Control of Spacecraft Smart Structures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:303-310 [Conf]
  39. Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato
    Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:311-318 [Conf]
  40. James K. Peterson
    On Line Estimation of Optimal Control Sequences: HJB Estimators. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:319-326 [Conf]
  41. Vijaykumar Gullapalli
    Learning Control Under Extreme Uncertainty. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:327-334 [Conf]
  42. Terence D. Sanger
    A Practice Strategy for Robot Learning Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:335-341 [Conf]
  43. Gerald Fahner, Rolf Eckmiller
    Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle Avoidance. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:342-349 [Conf]
  44. Charles M. Higgins, Rodney M. Goodman
    Learning Fuzzy Rule-Based Neural Networks for Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:350-357 [Conf]
  45. Suzanna Becker
    Learning to Categorize Objects Using Temporal Coherence. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:361-368 [Conf]
  46. Steven J. Nowlan, Terrence J. Sejnowski
    Filter Selection Model for Generating Visual Motion Signals. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:369-376 [Conf]
  47. Edward Stern, Ad Aertsen, Eilon Vaadia, Shaul Hochstein
    Stimulus Encoding by Multidimensional Receptive Fields in Single Cells and Cell Populations in V1 of Awake Monkey. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:377-384 [Conf]
  48. Suthep Madarasmi, Daniel Kersten, Ting-Chuen Pong
    The Computation of Stereo Disparity for Transparent and for Opaque Surfaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:385-392 [Conf]
  49. Subutai Ahmad, Volker Tresp
    Some Solutions to the Missing Feature Problem in Vision. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:393-400 [Conf]
  50. Joachim Utans, Gene Gindi
    Improving Convergence in Hierarchical Matching Networks for Object Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:401-408 [Conf]
  51. Carlos D. Brody
    A Model of Feedback to the Lateral Geniculate Nucleus. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:409-416 [Conf]
  52. Kevin E. Martin, Jonathan A. Marshall
    Unsmearing Visual Motion: Development of Long-Range Horizontal Intrinsic Connections. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:417-424 [Conf]
  53. Hayit Greenspan, Rodney M. Goodman
    Remote Sensing Image Analysis via a Texture Classification Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:425-432 [Conf]
  54. Markus Lappe, Josef P. Rauschecker
    Computation of Heading Direction from Optic Flow in Visual Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:433-440 [Conf]
  55. Gale Martin, Mosfeq Rashid, David Chapman, James A. Pittman
    Learning to See Where and What: Training a Net to Make Saccades and Recognize Handwritten Characters. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:441-447 [Conf]
  56. Todd K. Leen, John E. Moody
    Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:451-458 [Conf]
  57. William Finnoff
    Diffusion Approximations for the Constant Step Size Backpropagation Algorithm and Resistance to Local Minima. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:459-466 [Conf]
  58. Lei Xu, Alan L. Yuille
    Self-Organizing Rules for Robust Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:467-474 [Conf]
  59. Radford M. Neal
    Bayesian Learning via Stochastic Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:475-482 [Conf]
  60. Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
    Information, Prediction, and Query by Committee. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:483-490 [Conf]
  61. Alan F. Murray, Peter J. Edwards
    Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:491-498 [Conf]
  62. Nicol N. Schraudolph, Terrence J. Sejnowski
    Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:499-506 [Conf]
  63. Genevieve B. Orr, Todd K. Leen
    Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:507-514 [Conf]
  64. Satoru Shiono, Satoshi Yamada, Michio Nakashima, Kenji Matsumoto
    Information Theoretic Analysis of Connection Structure from Spike Trains. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:515-522 [Conf]
  65. Holm Schwarze, John A. Hertz
    Statistical Mechanics of Learning in a Large Committee Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:523-530 [Conf]
  66. John W. Miller, Rodney M. Goodman
    Probability Estimator from a Database Using a Gibbs Energy Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:531-538 [Conf]
  67. David Wolpert
    On the Use of Evidence in Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:539-546 [Conf]
  68. Bernard Doyon, Bruno Cessac, Mathias Quoy, Manuel Samuelides
    Destabilization and Route to Chaos in Neural Networks with Random Connectivity. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:549-555 [Conf]
  69. Ali A. Minai, William B. Levy
    Predicting Complex Behavior in Sparse Asymmetric Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:556-563 [Conf]
  70. Isaac Meilijson, Eytan Ruppin, Moshe Sipper
    Single-Iteration Threshold Hamming Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:564-571 [Conf]
  71. Isaac Meilijson, Eytan Ruppin
    History-Dependent Attractor Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:572-579 [Conf]
  72. David DeMers, Garrison W. Cottrell
    Non-Linear Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:580-587 [Conf]
  73. Mostefa Golea, Mario Marchand, Thomas R. Hancock
    On Learning µ-Perceptron Networks with Binary Weights. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:591-598 [Conf]
  74. Yong Liu
    Neural Network Model Selection Using Asymptotic Jackknife Estimator and Cross-Validation Method. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:599-606 [Conf]
  75. Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari
    Learning Curves, Model Selection and Complexity of Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:607-614 [Conf]
  76. Bhaskar DasGupta, Georg Schnitger
    The Power of Approximation: A Comparison of Activation Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:615-622 [Conf]
  77. Uwe Helmke, Robert C. Williamson
    Rational Parametrizations of Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:623-630 [Conf]
  78. N. H. Wulff, John A. Hertz
    Learning Cellular Automation Dynamics with Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:631-638 [Conf]
  79. Adam Kowalczyk
    Some Estimates on the Number of Connections and Hidden Units for Feed-Forward Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:639-646 [Conf]
  80. Michael Cohen, Horacio Franco, Nelson Morgan, David E. Rumelhart, Victor Abrash
    Context-Dependent Multiple Distribution Phonetic Modeling with MLPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:649-657 [Conf]
  81. Makoto Hirayama, Eric Vatikiotis-Bateson, Kiyoshi Honda, Yasuharu Koike, Mitsuo Kawato
    Physiologically Based Speech Synthesis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:658-665 [Conf]
  82. Weimin Liu, Andreas G. Andreou, Moise H. Goldstein Jr.
    Analog Cochlear Model for Multiresolution Speech Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:666-673 [Conf]
  83. Wei-Tsih Lee, John C. Pearson
    A Hybrid Linear/Nonlinear Approach to Channel Equalization Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:674-681 [Conf]
  84. Yochai Konig, Nelson Morgan, Chuck Wooters, Victor Abrash, Michael Cohen, Horacio Franco
    Modeling Consistency in a Speaker Independent Continuous Speech Recognition System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:682-687 [Conf]
  85. José Carlos Príncipe, Abir Zahalka
    Transient Signal Detection with Neural Networks: The Search for the Desired Signal. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:688-695 [Conf]
  86. Joe Tebelskis, Alex Waibel
    Performance Through Consistency: MS-TDNN's for Large Vocabulary Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:696-703 [Conf]
  87. George Zavaliagkos, Ying Zhao, Richard M. Schwartz, John Makhoul
    A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:704-711 [Conf]
  88. Hermann Hild, Alex Waibel
    Connected Letter Recognition with a Multi-State Time Delay Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:712-719 [Conf]
  89. Markus Schenkel, H. Weissman, Isabelle Guyon, C. Nohl, Donnie Henderson
    Recognition-Based Segmentation of On-Line Hand-Printed Words. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:723-730 [Conf]
  90. Esther Levin, Roberto Pieraccini
    Planar Hidden Markov Modeling: From Speech to Optical Character Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:731-738 [Conf]
  91. Jen-Lun Yuan, Terrence Fine
    Forecasting Demand for Electric Power. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:739-746 [Conf]
  92. Pierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure
    Hidden Markov Models in Molecular Biology: New Algorithms and Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:747-754 [Conf]
  93. Charles R. Rosenberg, Jcaob Erel, Henri Atlan
    A Neural Network that Learns to Interpret Myocardial Planar Thallium Scintigrams. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:755-762 [Conf]
  94. Janeen Anderson, John C. Platt, David Kirk
    An Analog VLSI Chip for Radial Basis Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:765-772 [Conf]
  95. Stephen Churcher, Donald J. Baxter, Alister Hamilton, Alan F. Murray, H. Martin Reekie
    Generic Analog Neural Computation - The Epsilon Chip. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:773-780 [Conf]
  96. Rahul Sarpeshkar, Wyeth Bair, Christof Koch
    Visual Motion Computation in Analog VLSI Using Pulses. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:781-788 [Conf]
  97. David B. Kirch, Douglas Kerns, Kurt W. Fleischer, Alan H. Barr
    Analog VLSI Implementation of Gradient Descent. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:789-796 [Conf]
  98. Alexander Linden, Thomas Sudbrak, Christoph Tietz, F. Weber
    An Object-Oriented Framework for the Simulation of Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:797-804 [Conf]
  99. Eros Pasero, Riccardo Zecchina
    Attractor Neural Networks with Local Inhibition: From Statistical Physics to a Digitial Programmable Integrated Circuit. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:805-812 [Conf]
  100. Sylvie Renaud-Le Masson, Gwendal Le Masson, Eve Marder, L. F. Abbott
    Hybrid Circuits of Interacting Computer Model and Biological Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:813-819 [Conf]
  101. John Lazzaro, John Wawrzynek, Misha Mahowald, Massimo Sivilotti, Dave Gillespie
    Silicon Auditory Processors as Computer Peripherals. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:820-827 [Conf]
  102. Christof Koch, Binnal Mathur, Shih-Chii Liu, John G. Harris, Jin Luo, Massimo Sivilotti
    Object-Based Analog VLSI Vision Circuits. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:828-835 [Conf]
  103. Joshua Alspector, Ronny Meir, B. Yuhas, Anthony Jayakumar, D. Lippe
    A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:836-844 [Conf]
  104. Paul Smolensky
    Harmonic Grammars for Formal Languages. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:847-854 [Conf]
  105. Dedre Gentner, Arthur B. Markman
    Analogy - Watershed or Waterloo? Structural Alignment and the Development of Connectionist Models of Cognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:855-862 [Conf]
  106. Michael Mozer, Sreerupa Das
    A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free Languages. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:863-870 [Conf]
  107. Volker Tresp, Jürgen Hollatz, Subutai Ahmad
    Network Structuring and Training Using Rule-Based Knowledge. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:871-878 [Conf]
  108. Daphne Bavelier, Michael I. Jordan
    A Dynamical Model of Priming and Repetition Blindness. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:879-886 [Conf]
  109. Geoffrey G. Towell, Richard Lehrer
    A Knowledge-Based Model of Geometry Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:887-894 [Conf]
  110. Hinrich Schütze
    Word Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:895-902 [Conf]
  111. Rainer Goebel
    Perceiving Complex Visual Scenes: An Oscillator Neural Network Model that Integrates Selective Attention, Perceptual Organization, and Invariant Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:903-910 [Conf]
  112. Kenji Doya, Mary E. T. Boyle, Allen I. Selverston
    Maaping Between Neural and Physical Activities of the Lobster Gastric Mill. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:913-920 [Conf]
  113. Mark E. Nelson
    A Neural Model of Descending Gain Control in the Electrosensory System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:921-928 [Conf]
  114. Neil Burgess, John O'Keefe, Michael Recce
    Using Hippocampal `Plane Cells' for Navigation, Exploiting Phase Coding. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:929-936 [Conf]
  115. Mark A. Gluck, Catherine Myers
    Adaptive Stimulus Representations: A Computational Theory of Hippocampal-Region Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:937-944 [Conf]
  116. Itay Gat, Naftali Tishby
    Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:945-952 [Conf]
  117. Ralph Linsker
    Deriving Receptive Fields Using an Optimal Encoding Criterion. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:953-960 [Conf]
  118. Olivier J. M. D. Coenen, Terrence J. Sejnowski, Stephen G. Lisberger
    Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:961-968 [Conf]
  119. P. Read Montague, Peter Dayan, Steven J. Nowlan, Terrence J. Sejnowski
    Using Aperiodic Reinforcement for Directed Self-Organization During Development. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:969-976 [Conf]
  120. Klaus Pawelzik, Hans-Ulrich Bauer, J. Deppisch, Theo Geisel
    How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:977-984 [Conf]
  121. Geoffrey J. Goodhill
    Topography and Ocular Dominance with Positive Correlations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:985-992 [Conf]
  122. Frank Moss, André Longtin
    Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:993-1000 [Conf]
  123. John G. Milton, Po Hsiang Chu, Jack D. Cowan
    Spiral Waves in Integrate-and-Fire Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:1001-1006 [Conf]
  124. Lance C. Walton, David L. Bisset
    Parametrizing Feature Sensitive Cell Formation in Linsker Networks in the Auditory System. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:1007-1013 [Conf]
  125. Lina Massone
    A Recurrent Neural Network for Generation of Occular Saccades. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:1014-1021 [Conf]
  126. Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg, Gérard Dreyfus, Léon Personnaz
    A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:1022-1029 [Conf]
  127. William E. Skaggs, Bruce L. McNaughton, Katalin M. Gothard
    An Information-Theoretic Approach to Deciphering the Hippocampal Code. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:1030-1037 [Conf]
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