NIPS 1987:
Denver,
CO,
USA
Dana Z. Anderson (Ed.):
Neural Information Processing Systems, Denver, Colorado, USA, 1987.
American Institue of Physics 1988, ISBN 0-88318-569-5 BibTeX
@proceedings{DBLP:conf/nips/1987,
editor = {Dana Z. Anderson},
title = {Neural Information Processing Systems, Denver, Colorado, USA,
1987},
booktitle = {NIPS},
publisher = {American Institue of Physics},
year = {1988},
isbn = {0-88318-569-5},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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Connectivity Versus Entropy.
1-8
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Stochastic Learning Networks and their Electronic Implementation.
9-21
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Learning on a General Network.
22-30
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An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification.
31-40
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On Properties of Networks of Neuron-Like Elements.
41-51
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Supervised Learning of Probability Distributions by Neural Networks.
52-61
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Centric Models of the Orientation Map in Primary Visual Cortex.
62-71
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Analysis and Comparison of Different Learning Algorithms for Pattern Association Problems.
72-81
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Simulations Suggest Information Processing Roles for the Diverse Currents in Hippocampal Neurons.
82-94
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Optimal Neural Spike Classification.
95-102
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Neural Networks for Template Matching: Application to Real-Time Classification of the Action Potentials of Real Neurons.
103-113
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A Computer Simulation of Olfactory Cortex with Functional Implications for Storage and Retrieval of Olfactory Information.
114-126
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Neural Network Implementation Approaches for the Connection Machine.
127-136
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On the Power of Neural Networks for Solving Hard Problems.
137-143
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Speech Recognition Experiments with Perceptrons.
144-153
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Presynaptic Neural Information Processing.
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Mathematical Analysis of Learning Behavior of Neuronal Models.
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A Neural Network Classifier Based on Coding Theory.
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The Capacity of the Kanerva Associative Memory is Exponential.
184-191
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Phase Transitions in Neural Networks.
192-200
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New Hardware for Massive Neural Networks.
201-210
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211-218
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Network Generality, Training Required, and Precision Required.
219-222
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223-232
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High Order Neural Networks for Efficient Associative Memory Design.
233-241
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The Sigmoid Nonlinearity in Prepyriform Cortex.
242-248
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On Tropistic Processing and Its Applications.
262-269
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Correlational Strength and Computational Algebra of Synaptic Connections Between Neurons.
270-277
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The Hopfield Model with Multi-Level Neurons.
278-289
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Cycles: A Simulation Tool for Studying Cyclic Neural Networks.
290-296
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Temporal Patterns of Activity in Neural Networks.
297-300
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Encoding Geometric Invariances in Higher-Order Neural Networks.
301-309
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Probabilistic Characterization of Neural Model Computations.
310-316
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Partitioning of Sensory Data by a Cortical Network.
317-337
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The Connectivity Analysis of Simple Association.
338-347
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Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals.
348-357
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Learning Representations by Recirculation.
358-366
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Schema for Motor Control Utilizing a Network Model of the Cerebellum.
367-376
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Experimental Demonstrations of Optical Neural Computers.
377-386
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Neural Net and Traditional Classifiers.
387-396
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An Optimization Network for Matrix Inversion.
397-401
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402-411
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Capacity for Patterns and Sequences in Kanerva's SDM as Compared to Other Associative Memory Models.
412-421
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Performance Measures for Associative Memories that Learn and Forget.
432-441
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How Neural Nets Work.
442-456
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Distributed Neural Information Processing in the Vestibulo-Ocular System.
457-466
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Spontaneous and Information-Triggered Segments of Series of Human Brain Electric Field Maps.
467-473
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Optimization with Artificial Neural Network Systems: A Mapping Principle and a Comparison to Gradient Based Methods.
474-484
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Connecting to the Past.
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Basins of Attraction for Electronic Neural Networks.
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554-563
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Programmable Synaptic Chip for Electronic Neural Networks.
564-572
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Bit-Serial Neural Networks.
573-583
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Phasor Neural Networks.
584-591
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A Trellis-Structured Neural Network.
592-601
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Generalization of Back propagation to Recurrent and Higher Order Neural Networks.
602-611
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Constrained Differential Optimization.
612-621
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Learning a Color Algorithm from Examples.
622-631
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Static and Dynamic Error Propagation Networks with Application to Speech Coding.
632-641
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Learning by State Recurrence Detection.
642-651
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Scaling Properties of Coarse-Coded Symbol Memories.
652-661
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662-673
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Pattern Class Degeneracy in an Unrestricted Storage Density Memory.
674-682
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683-692
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Teaching Artificial Neural Systems to Drive: Manual Training Techniques for Autonomous Systems.
693-700
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Discovering Structure from Motion in Monkey, Man and Machine.
701-708
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Time-Sequential Self-Organization of Hierarchical Neural Networks.
709-714
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A Computer Simulation of Cerebral Neocortex: Computational Capabilities of Nonlinear Neural Networks.
715-729
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Analysis of Distributed Representation of Constituent Structure in Connectionist Systems.
730-739
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Spatial Organization of Neural Networks: A Probabilistic Modeling Approach.
740-749
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A Dynamical Approach to Temporal Pattern Processing.
750-759
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A Novel Net that Learns Sequential Decision Process.
760-766
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Self-Organization of Associative Database and Its Applications.
767-774
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A Neural-Network Solution to the Concentrator Assignment Problem.
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Using Neural Networks to Improve Cochlear Implant Speech Perception.
783-793
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A 'Neural' Network that Learns to Play Backgammon.
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Introduction to a System for Implementing Neural Net Connections on SIMD Architectures.
804-813
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Neuromorphic Networks Based on Sparse Optical Orthogonal Codes.
814-823
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Synchronization in Neural Nets.
824-829
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Invariant Object Recognition Using a Distributed Associative Memory.
830-839
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Learning in Networks of Nondeterministic Adaptive Logic Elements.
840-849
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Strategies for Teaching Layered Networks Classification Tasks.
850-859
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A Method for the Design of Stable Lateral Inhibition Networks that is Robust in the Presence of Circuit Parasitics.
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Copyright © Sat May 16 23:31:30 2009
by Michael Ley (ley@uni-trier.de)
