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NIPS*1987
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| NIPS TITLES [ps][pdf][djvu] CONNECTIVITY VERSUS ENTROPY Yaser S. Abu-Mostafa [ps][pdf][djvu] STOCHASTIC LEARNING NETWORKS AND THEIR ELECTRONIC IMPLEMENTATION Joshua Alspector*, Robert B. Allen, Victor Hut, and Srinagesh Satyanarayana [ps][pdf][djvu] LEARNING ON A GENERAL NETWORK Amir F. Atiya [ps][pdf][djvu] AN ARTIFICIAL NEURAL NETWORK FOR SPATIO- TEMPORAL BIPOLAR PATTERNS: APPLICATION TO PHONEME CLASSIFICATION Toshiteru Homma [ps][pdf][djvu] ON PROPERTIES OF NETWORKS OF NEURON-LIKE ELEMENTS Pierre Baldi* and Santosh S. Venlmtesh I [ps][pdf][djvu] SUPERVISED LEARNING OF PROBABILITY DISTRIBUTIONS by Neural Networks [ps][pdf][djvu] CENTRIC MODELS OF THE ORIENTATION MAP IN PRIMARY VISUAL CORTEX William Baxter [ps][pdf][djvu] ANALYSIS AND COMPARISON OF DIFFERENT LEARNING ALGORITHMS FOR PATTERN ASSOCIATION PROBLEMS J. Bernasconi [ps][pdf][djvu] SIMULATIONS SUGGEST INFORMATION PROCESSING ROLES FOR THE DIVERSE CURRENTS IN HIPPOCAMPAL NEURONS Lyle J. Borg-Graham [ps][pdf][djvu] OPTIMAL NEURAL SPIKE CLASSIFICATION Amir F. Atiya(*) and Ja,nes M. Bower(**) [ps][pdf][djvu] NEURAL NETWORKS FOR TEMPLATE MATCHING: APPLICATION TO REAL-TIME CLASSIFICATION OF THE ACTION POTENTIALS OF REAL NEURONS Yiu-fai Wong, Jashojiban Banik]. and James M. Bower$ [ps][pdf][djvu] A COMPUTER SIMULATION OF OLFACTORY CORTEX WITH FUNCTIONAL IMPLICATIONS FOR STORAGE AND RETRIEVAL OF OLFACTORY INFORMATION Matthew A. Wilson and James M. Bower [ps][pdf][djvu] NEURAL NETWORK IMPLEMENTATION APPROACHES FOR THE CONNECTION MACHINE Nathan H. Brown, Jr. [ps][pdf][djvu] ON THE POWER OF NEURAL NETWORKS FOR SOLVING HARD PROBLEMS Jehoshua Bruck [ps][pdf][djvu] SPEECH RECOGNITION EXPERIMENTS WITH PERCEPTRONS D. J. Burr [ps][pdf][djvu] PRESYNAPTIC NEURAL INFORMATION PROCESSING L. R. Carley [ps][pdf][djvu] MATHEMATICAL ANALYSIS OF LEARNING BEHAVIOR OF NEURONAL MODELS John Y. Cheung and Massoud Omidvar [ps][pdf][djvu] A NEURAL NETWORK C1A-SIFIER BASED ON CODING THEORY Tzi-Dar Chiueh and Rodney Goodman [ps][pdf][djvu] THE CAPACITY OF THE KANERVA ASSOCIATIVE MEMORY IS EXPONENTIAL P. A. Chou [ps][pdf][djvu] PHASE TRANSITIONS IN NEURAL NETWORKS Joshua Chover [ps][pdf][djvu] NEW HARDWARE FOR MASSIVE NEURAL NETWORKS D. D. Coon and A. G. U. Perera [ps][pdf][djvu] DENSITY ASSOCIATIVE THEORIES Abir Dembo [ps][pdf][djvu] NETWORK GENERALITY, TRAINING REQUIRED, AND PRECISION REQUIRED John S. Denker and Ben S. Wittner [ps][pdf][djvu] ENSEMBLE BOLTZMANN UNITS HAVE COLLECTIVE COMPUTATIONAL PROPERTIES LIKE THOSE OF HOPFIELD AND TANK NEURONS Mark Derthick and Joe Tebelskis [ps][pdf][djvu] HIGH ORDER NEURAL NETWORKS FOR EFFICIENT ASSOCIATIVE MEMORY DESIGN I. GUYON*, L. PERSONNAZ*, J.P. NADAL** and G. DREYFUS* [ps][pdf][djvu] THE SIGMOID NONLINEARITY IN PREPYRIFORM CORTEX Frank H. Eeckman [ps][pdf][djvu] HIERARCHICAL LEARNING CONTROL - AN APPROACH WITH NEURON-LIKE ASSOCIATIVE MEMORIES E. Ers [ps][pdf][djvu] ON TROPISTIC PROCESSING AND ITS APPLICATIONS Manuel F. FernRndez [ps][pdf][djvu] CORRELATIONAL STRENGTH AND COMPUTATIONAL ALGEBRA OF SYNAPTIC CONNECTIONS BETWEEN NEURONS Eberhard E. Fetz [ps][pdf][djvu] THE HOPFIELD MODEL WITH MULTI-LEVEL NEURONS Michael Fleisher [ps][pdf][djvu] CYCLES A SIMULATION TOOL FOR STUDYING CYCLIC NEURAL NETWORKS Michael T. Gately [ps][pdf][djvu] TEMPORAL PATTERNS OF ACTIVITY IN NEURAL NETWORKS Paolo Gaudiano [ps][pdf][djvu] ENCODING GEOMETRIC INVARIANCES IN HIGHER-ORDER NEURAL NETWORKS C.L. Giles [ps][pdf][djvu] PROBABILISTIC CHARACTERIZATION OF NEURAL MODEL COMPUTATIONS Richard M. Golden ' [ps][pdf][djvu] PARTITIONING OF SENSORY DATA BY A COPTICAI, NETWORK Richard Granger, Jos Ambros-Ingerson, Howard Henry, Gary Lynch [ps][pdf][djvu] THE CONNECTIVITY ANALYSIS OF SIMPLE ASSOCIATION HOW MANY CONNECTIONS DO YOU NEED Dan Hammerstrom * [ps][pdf][djvu] MINKOWSKI-R BACK-PROPAGATION LEARNING IN CONNECTIONIST MODELS WITH NON-EUCLIDIAN ERROR SIGNALS Stephen Jos6 Hanson and David J. Burr [ps][pdf][djvu] LEARNING REPRESENTATIONS BY RECIRCULATION Geoffrey E. Hinton [ps][pdf][djvu] SCHEMA FOR MOTOR CONTROL UTILIZING A NETWORK MODEL OF THE CEREBELLUM James C. Houk, Ph.D. [ps][pdf][djvu] EXPERIMENTAL DEMONSTRATIONS OF OPTICAL NEURAL COMPUTERS Ken Hsu, David Brady, and Demetri Psaltis [ps][pdf][djvu] NEURAL NET AND TRADITIONAL CLASSIFIERS William Y. Huang and Richard P. Lippmann [ps][pdf][djvu] AN OPTIMIZATION NETWORK FOR MATRIX INVERSION Ju-Seog Jang, Soo-Young Lee, and Sang-Yung Shin [ps][pdf][djvu] HOW THE CATFISH TRACKS ITS PREY: AN INTERACTIVE Jagmeet S. Kanwal [ps][pdf][djvu] CAPACITY FOR PATTERNS AND SEQUENCES IN KANERVA'S SDM AS COMPARED TO OTHER ASSOCIATIVE MEMORY MODELS James D. Keeler [ps][pdf][djvu] COMPUTING MOTION USING RESISTIVE NETWORKS Christof Koch, Jin Luo, Carver Mead [ps][pdf][djvu] PERFORMANCE MEASURES FOR ASSOCIATIVE MEMORIES THAT LEARN AND FORGET Anthony Kuh [ps][pdf][djvu] HOW NEURAL NETS WORK Alan Lapedes [ps][pdf][djvu] DISTRIBUTED NEURAL INFORMATION PROCESSING IN THE VESTIBULO-OCULAR SYSTEM Clifford Lau [ps][pdf][djvu] SPONTANEOUS INFORMATION-TRIGGERED SEGMENTS OF SERIES OF HUMAN BRAIN ELECTRIC FIELD D. Lehmann, D. Brandeis*, A. Horst, H. Ozaki* and I. Pal* [ps][pdf][djvu] OPTIMIZATION WITH ARTIFICIAL NEURAL NETWORK SYSTEMS: A MAPPING PRINCIPLE AND A COMPARISON TO GRADIENT BASED METHODS * Harrison MonFook Leong [ps][pdf][djvu] TOWARDS AN ORGANIZING PRINCIPLE FOR A LAYERED PERCEPTUAL NETWORK Ralph Linsker [ps][pdf][djvu] REFLEX! VE ASSOCIATI VE MEMORIES Hendricus G. Loos [ps][pdf][djvu] CONNECTING TO THE PAST Bruce A. MacDonald, Assistant Professor [ps][pdf][djvu] MICROELECTRONIC IMPLEMENTATIONS OF CONNECTIONIST NEURAL NETWORKS Stuart Mackie, Hans P. Graf, Daniel B. Schwartz, and John S. Denker [ps][pdf][djvu] BASINS OF ATTRACTION FOR ELECTRONIC NEURAL NETWORKS C. M. Marcus [ps][pdf][djvu] THE PERFORMANCE OF CONVEX SET PROJECTION BASED NEURAL NETWORKS Robert J. Marks II, Les E. Atlas, Seho Oh and James A. Ritcey [ps][pdf][djvu] MURPHY A POBOT THAT LEARNS BY DOING Bartlett W. Mel [ps][pdf][djvu] STABILITY RESULTS FOR NEURAL NETWORKS A. N. Michel , J. A. Farrell , and W. Porod 2 [ps][pdf][djvu] PROGRAMMABLE SYNAPTIC CHIP FOR ELECTRONIC NEURAL NETWORKS A. Moopenn, H. Langenbacher, A.P. Thakoor, and S.K. Khanna [ps][pdf][djvu] BIT - SERIAL NEURAL NETWORKS Alan F. Murray, Anthony V. W. Smith and Zoe F. Buffer. [ps][pdf][djvu] PHASOR NEURAL NETWORKS Andr J. Noest, N.I.B.R., NL-1105 AZ Amsterdam, The Netherlands. [ps][pdf][djvu] A TRELLIS-STRUCTURED NEURAL NETWORK Thomas Petsche t and Bradley W. Dickinson [ps][pdf][djvu] GENERALIZATION OF BACKPROPAGATION TO RECURRENT AND HIGHER ORDER NEURAL NETWORKS Fernando J. Pineda [ps][pdf][djvu] CONSTRAINED DIFFERENTIAL OPTIMIZATION John C. Platt [ps][pdf][djvu] LEARNING A COLOR ALGORITHM FROM EXAMPLES Anya C. Hurlbert and Tomaso A. Poggio [ps][pdf][djvu] STATIC AND DYNAMIC ERROR PROPAGATION NETWORKS WITH APPLICATION TO SPEECH CODING A J Robinson, F Fallside [ps][pdf][djvu] LEARNING BY STATE RECURRENCE DETECFION Bruce E. Rosen, James M. Goodwin*, and Jacques J. Vidal [ps][pdf][djvu] SCALING PROPERTIES OF COARSE-CODED SYMBOL MEMORIES Ronald Rosenfeld [ps][pdf][djvu] AN ADAPTIVE AND HETERODYNE FILTERING PROCEDURE FOR THE IMAGING OF MOVING OBJECTS F. H. Schuling, H. A. K. Mastebroek and W. H. Zaagman [ps][pdf][djvu] PATYEP CLASS DEGENERACY IN AN UNRESTRICTED STORAGE DENSITY MEMORY Christopher L. Scofield, Douglas L. Reilly, [ps][pdf][djvu] A MEAN FIELD THEORY OF LAYER IV OF VISUAL CORTEX AND ITS APPLICATION TO ARTIFICIAL NEURAL NETWORKS* Christopher L. Scofield [ps][pdf][djvu] Teaching Artificial Neural Systems to Drive: Manual Training Techniques for Autonomous Systems [ps][pdf][djvu] DISCOVERING STRUCTURE FROM MOTION IN MONKEY, MAN AND MACHINE Ralph M. Siegel* [ps][pdf][djvu] TIME-SEQUENTIAL SELF-ORGANIZATION OF HIERARCHICAL NEURAL NETWORKS Ronald H. Silverman [ps][pdf][djvu] A COMPUTER SIMULATION OF CEREBRAL NEOCORTEX: COMPUTATIONAL CAPABILITIES OF NONLINEAR NEURAL NETWORKS Alexander Singer* and John P. Donoghue** [ps][pdf][djvu] ANALYSIS OF DISTRIBUTED REPRESENTATION OF CONSTITUENT STRUCTURE IN CONNECTIONIST SYSTEMS Paul Smolensky [ps][pdf][djvu] SPATIAL ORGANIZATION OF NEURAL NETWORKS: A PROBABILISTIC MODELING APPROACH A. Stafylopati s [ps][pdf][djvu] A DYNAMICAL APPROACH TO TEMPORAL PATTERN PROCESSING W. Scott Stornetta [ps][pdf][djvu] A NOVEL NET THAT LEARNS SEQUENTIAL DECISION PROCESS G.Z. SUN, Y.C. LEE and H.H. CHEN [ps][pdf][djvu] SELF-ORGANIZATION OF ASSOCIATIVE DATABASE AND ITS APPLICATIONS Hisashi Suzuki and Suguru Arimoto [ps][pdf][djvu] A NEURAL-NETWORK SOLUTION TO THE CONCENTRATOR ASSIGNMENT PROBLEM Gene A. Tagliarini [ps][pdf][djvu] USING NEURAL NETWORKS TO IMPROVE COCHLEAR IMPLANT SPEECH PERCEPTION Manoel F. Tenorio [ps][pdf][djvu] A NEURAL NETWORK THAT LEARNS TO PLAY BACKGAMMON G. Tesauro [ps][pdf][djvu] INTRODUCTION TO A SYSTEM FOR IMPLEMENTING NEURAL NET CONNECTIONS ON SIMD ARCHITECTURES Sherryl Tomboulian [ps][pdf][djvu] NEUROMORPHIC NETWORKS BASED ON SPARSE OPTICAL ORTHOGONAL CODES Mario P. Vecchi and Jawad A. Salehl [ps][pdf][djvu] SYNCHRONIZATION IN NEURAL NETS Jacques J. Vidal [ps][pdf][djvu] INVARIANT OBJECT RECOGNITION USING A DISTRIBUTED ASSOCIATIVE MEMORY Harry Wechsler and George Lee Zimmerman [ps][pdf][djvu] LEARNING IN NETWORKS OF NONDETERMINISTIC ADAPTIVE LOGIC ELEMENTS Richard C. Windecker* [ps][pdf][djvu] STRATEGIES FOR TEACHING LAYERED NETWORKS CLASSIFICATION TASKS Ben S. Wittner I and John S. Denker [ps][pdf][djvu] A METHOD FOR THE DESIGN OF STABLE LATERAL INHIBITION NETWORKS THAT IS ROBUST IN THE PRESENCE OF CIRCUIT PARASITICS J.L. WYATT, Jr and D.L. STANDLEY [ps][pdf][djvu] AUTHOR INDEX [ps][pdf][djvu] |