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Semantic ScholarNIPS 1987: Denver, CO, USA
Dana Z. Anderson:
Neural Information Processing Systems, Denver, Colorado, USA, 1987. American Institue of Physics 1988, ISBN 0-88318-569-5- Joshua Alspector, Robert B. Allen, Victor Hu, Srinagesh Satyanarayana:
Stochastic Learning Networks and their Electronic Implementation. 9-21 - Les E. Atlas, Toshiteru Homma, Robert J. Marks II:
An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification. 31-40 - Eric B. Baum, Frank Wilczek:
Supervised Learning of Probability Distributions by Neural Networks. 52-61 - J. Bernasconi:
Analysis and Comparison of Different Learning Algorithms for Pattern Association Problems. 72-81 - Lyle J. Borg-Graham:
Simulations Suggest Information Processing Roles for the Diverse Currents in Hippocampal Neurons. 82-94 - James M. Bower, Yiu-Fai Wong, Jashojiban Banik:
Neural Networks for Template Matching: Application to Real-Time Classification of the Action Potentials of Real Neurons. 103-113 - James M. Bower, Matthew A. Wilson:
A Computer Simulation of Olfactory Cortex with Functional Implications for Storage and Retrieval of Olfactory Information. 114-126 - Jehoshua Bruck, Joseph W. Goodman:
On the Power of Neural Networks for Solving Hard Problems. 137-143 - John Y. Cheung, Massoud Omidvar:
Mathematical Analysis of Learning Behavior of Neuronal Models. 164-173 - John S. Denker, Ben S. Wittner:
Network Generality, Training Required, and Precision Required. 219-222 - Mark Derthick, Joe Tebelskis:
'Ensemble' Boltzmann Units have Collective Computational Properties like those of Hopfield and Tank Neurons. 223-232 - Gérard Dreyfus, Isabelle Guyon, Jean-Pierre Nadal, Léon Personnaz:
High Order Neural Networks for Efficient Associative Memory Design. 233-241 - Enis Ersü, Henning Tolle:
Hierarchical Learning Control - An Approach with Neuron-Like Associative Memories. 249-261 - Eberhard E. Fetz:
Correlational Strength and Computational Algebra of Synaptic Connections Between Neurons. 270-277 - C. Lee Giles, R. D. Griffin, T. Maxwell:
Encoding Geometric Invariances in Higher-Order Neural Networks. 301-309 - Richard Granger, Jose A. Ambros-Ingerson, Howard Henry, Gary Lynch:
Partitioning of Sensory Data by a Cortical Network. 317-337 - Stephen Jose Hanson, David J. Burr:
Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals. 348-357 - Ken Hsu, David Brady, Demetri Psaltis:
Experimental Demonstrations of Optical Neural Computers. 377-386 - Jagmeet S. Kanwal:
How the Catfish Tracks Its Prey: An Interactive 'Pipelined' Processing System May Direct Foraging via Reticulospinal Neurons. 402-411 - James D. Keeler:
Capacity for Patterns and Sequences in Kanerva's SDM as Compared to Other Associative Memory Models. 412-421 - Christof Koch, Jin Luo, Carver Mead, James Hutchinson:
Computing Motion Using Resistive Networks. 422-431 - Clifford Lau, Vicente Honrubia:
Distributed Neural Information Processing in the Vestibulo-Ocular System. 457-466 - Dietrich Lehmann, D. Brandeis, A. Horst, H. Ozaki, I. Pal:
Spontaneous and Information-Triggered Segments of Series of Human Brain Electric Field Maps. 467-473 - Harrison MonFook Leong:
Optimization with Artificial Neural Network Systems: A Mapping Principle and a Comparison to Gradient Based Methods. 474-484 - Stuart Mackie, Hans Peter Graf, Daniel B. Schwartz, John S. Denker:
Microelectronic Implementations of Connectionist Neural Networks. 515-523 - Robert J. Marks II, Les E. Atlas, Seho Oh, James A. Ritcey:
The Performance of Convex Set Projection Based Neural Networks. 534-543 - Alexander Moopenn, H. Langenbacher, A. P. Thakoor, S. K. Khanna:
Programmable Synaptic Chip for Electronic Neural Networks. 564-572 - Fernando J. Pineda:
Generalization of Back propagation to Recurrent and Higher Order Neural Networks. 602-611 - Anthony J. Robinson, F. Failside:
Static and Dynamic Error Propagation Networks with Application to Speech Coding. 632-641 - F. H. Schuling, H. A. K. Mastebroek, W. H. Zaagman:
An Adaptive and Heterodyne Filtering Procedure for the Imaging of Moving Objects. 662-673 - Christopher L. Scofield, Douglas L. Reilly, Charles Elbaum, Leon N. Cooper:
Pattern Class Degeneracy in an Unrestricted Storage Density Memory. 674-682 - Christopher L. Scofield:
A Mean Field Theory of Layer IV of Visual Cortex and Its Application to Artificial Neural Networks. 683-692 - J. F. Shepanski, S. A. Macy:
Teaching Artificial Neural Systems to Drive: Manual Training Techniques for Autonomous Systems. 693-700 - Ronald H. Silverman, Andrew S. Noetzel:
Time-Sequential Self-Organization of Hierarchical Neural Networks. 709-714 - Alexander Singer, John P. Donoghue:
A Computer Simulation of Cerebral Neocortex: Computational Capabilities of Nonlinear Neural Networks. 715-729 - Paul Smolensky:
Analysis of Distributed Representation of Constituent Structure in Connectionist Systems. 730-739 - Andreas Stafylopatis, Marios D. Dikaiakos, D. Kontoravdis:
Spatial Organization of Neural Networks: A Probabilistic Modeling Approach. 740-749 - W. Scott Stornetta, Tad Hogg, Bernardo A. Huberman:
A Dynamical Approach to Temporal Pattern Processing. 750-759 - Guo-Zheng Sun, Yee-Chun Lee, Hsing-Hen Chen:
A Novel Net that Learns Sequential Decision Process. 760-766 - Hisashi Suzuki, Suguru Arimoto:
Self-Organization of Associative Database and Its Applications. 767-774 - Gene A. Tagliarini, Edward W. Page:
A Neural-Network Solution to the Concentrator Assignment Problem. 775-782 - Manoel Fernando Tenorio:
Using Neural Networks to Improve Cochlear Implant Speech Perception. 783-793 - Sherryl Tomboulian:
Introduction to a System for Implementing Neural Net Connections on SIMD Architectures. 804-813 - Mario P. Vecchi, Jawad A. Salehi:
Neuromorphic Networks Based on Sparse Optical Orthogonal Codes. 814-823 - Harry Wechsler, George Lee Zimmerman:
Invariant Object Recognition Using a Distributed Associative Memory. 830-839 - Ben S. Wittner, John S. Denker:
Strategies for Teaching Layered Networks Classification Tasks. 850-859 - John L. Wyatt Jr., David L. Standley:
A Method for the Design of Stable Lateral Inhibition Networks that is Robust in the Presence of Circuit Parasitics. 860-868
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