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NIPS'1994 Volume 7 : Table of Contents
Gerry Tesauro, David Touretzky, Todd Leen (eds), MIT Press (1995)
i Title Pages
v Table of Contents
xvii Preface
xix Contributors

PART I COGNITIVE SCIENCE

0003 DIRECTION SELECTIVITY IN PRIMARY VISUAL CORTEX USING MASSIVE INTRACORTICAL CONNECTIONS
Humbert Suarez, Christof Koch, Rodney Douglas
0011 ON THE COMPUTATIONAL UTILITY OF CONSCIOUSNESS
Donald Mathis, Michael C. Mozer
0019 CATASTROPHIC INTERFERENCE IN HUMAN MOTOR LEARNING
Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov
0027 GRAMMAR LEARNING BY A SELF-ORGANIZING NETWORK
Michiro Negishi
0035 PATFERNS OF DAMAGE IN NEURAL NETWORKS: THE EFFECTS OF LESION AREA, SHAPE AND NUMBER
Eytan Ruppin, James A. Reggia
0043 FORWARD DYNAMIC MODELS IN HUMAN MOTOR CONTROL PSYCHOPHYSICAL EVIDENCE
Daniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan

PART II NEUROSCIENCE

0051 A SOLVABLE CONNECTIONIST MODEL OF IMMEDIATE RECALL OF ORDERED LISTS
Neil Burgess
0061 A MODEL FOR CHEMOSENSORY RECEPTION
Rainer Malaka, Thomas Ragg, Martin Hammer
0069 THE ELECTRONIC TRANSFORMATION: A TOOL FOR RELATING NEURONAL FORM TO FUNCTION
Nicholas Carnevale, Kenneth Y. Tsai, Brenda J. Claiborne, Thomas H. Brown
0077 A MODEL OF THE HIPPOCAMPUS COMBINING SELF-ORGANIZATION AND ASSOCIATIVE MEMORY FUNCTION
Michael E. Hasselmo, Eric Schnell, Joshua Berke, Edi Barkai
0085 MODEL OF BIOLOGICAL NEURON AS A TEMPORAL NEURAL NETWORK
Sean D. Murphy, Edward W. Kairiss
0093 A CRITICAL COMPARISON OF MODELS FOR ORIENTATION AND OCULAR DOMINANCE COLUMNS IN THE STRIATE CORTEX
E. Erwin, K. Obermayer, K. Schulten
0101 A NOVEL REINFORCEMENT MODEL OF BIRDSONG VOCALIZATION LEARNING
Kenji Doya, Terrence J. Sejnowski
0109 OCULAR DOMINANCE AND PATTERNED LATERAL CONNECTIONS IN A SELF-ORGANIZING MODEL OF THE PRIMARY VISUAL CORTEX
Joseph Sirosh, Risto Miikkulainen
0117 ANATOMICAL ORIGIN AND COMPUTATIONAL ROLE OF DIVERSITY IN THE RESPONSE PROPERTIES OF CORTICAL NEURONS
Kalanit Grill Spector, Shimon Edelman, Rafael Malach
0125 REINFORCEMENT LEARNING PREDICTS THE SITE OF PLASTICITY FOR AUDITORY REMAPPING IN THE BARN OWL
Alexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski
0133 MORPHOGENESIS OF THE LATERAL GENICULATE NUCLEUS: HOW SINGULARITIES AFFECT GLOBAL STRUCTURE
Svilen Tzonev, Klaus Schulten, Joseph G. Malpeli
0141 A COMPUTATIONAL MODEL OF PREFRONTAL CORTEX FUNCTION
Todd S. Braver, Jonathan D. Cohen, David Servan-Schreiber
0149 A NEURAL MODEL OF DELUSIONS AND HALLUCINATIONS IN SCHIZOPHRENIA
Eytan Ruppin, James A. Reggia, David Horn
0157 SPATIAL REPRESENTATIONS IN THE PARIETAL CORTEX MAY USE BASIS FUNCTIONS
Alexandre Pouget, Terrence J. Sejnowski
0165 GROUPING COMPONENTS OF THREE-DIMENSIONAL MOVING OBJECTS IN AREA MST OF VISUAL CORTEX
Richard S. Zemel, Terrence J. Sejnowski

PART III LEARNING THEORY AND DYNAMICS

0173 A MODEL OF THE NEURAL BASIS OF THE RAT'S SENSE OF DIRECTION
William Skaggs, James J. Knierim, Hemant S. Kudrimoti, Bruce L. McNaughton
0183 ON THE COMPUTATIONAL COMPLEXITY OF NETWORKS OF SPIKING NEURONS
Wolfgang Maass
0191 H∞ OPTIMAL TRAINING ALGORITHMS AND THEIR RELATION TO BACK PROPAGATION
Babak Hassibi, Thomas Kailath
0199 SYNCHRONY AND DESYNCHRONY IN NEURAL OSCILLATOR NETWORKS
DeLiang Wang, David Terman
0207 LEARNING IN LARGE LINEAR PERCEPTRONS AND WHY THE THERMODYNAMIC LIMIT IS RELEVANT TO THE REAL WORLD
Peter Sollich
0215 GENERALISATION IN FEEDFORWARD NETWORKS
Adam Kowalczyk, Herman Ferra
0223 FROM DATA DISTRIBUTIONS TO REGULARIZATION IN INVARIANT LEARNING
Todd Leen
0231 NEURAL NETWORK ENSEMBLES, CROSS VALIDATION, AND ACTIVE LEARNING
Anders Krogh, Jesper Vedelsby
0239 LIMITS ON LEARNING MACHINE ACCURACY IMPOSED BY DATA QUALITY
Corinna Cortes, L. D. Jackel, Wan-Ping Chiang
0247 HIGHER ORDER STATISTICAL DECORRELATION WITHOUT INFORMATION LOSS
Gustavo Deco, Wilfried Brauer
0255 HYPERPARAMETERS, EVIDENCE AND GENERALISATION FOR AN UNREALISABLE RULE
Glenn Marion, David Saad
0263 TEMPORAL DYNAMICS OF GENERALIZATION IN NEURAL NETWORKS
Changfeng Wang, Santosh S. Venkatesh
0271 STOCHASTIC DYNAMICS OF THREE-STATE NEURAL NETWORKS
Toru Ohira, Jack D. Cowan
0279 LEARNING STOCHASTIC PERCEPTRONS UNDER K-BLOCKING DISTRIBUTIONS
Mario Marchand, Saeed Hadjifaradji
0287 LEARNING FROM QUERIES FOR MAXIMUM INFORMATION GAIN IN IMPERFECTLY LEARNABLE PROBLEMS
Peter Sollich, David Saad
0295 BIAS, VARIANCE AND THE COMBINATION OF LEAST SQUARES ESTIMATORS
Ronny Meir
0303 ON-LINE LEARNING OF DICHOTOMIES
N. Barkai, H. S. Seung, H. Sompolinsky
0311 DYNAMIC MODELLING OF CHAOTIC TIME SERIES WITH NEURAL NETWORKS
Jose Principe, Jyh-Ming Kuo
0319 A RIGOROUS ANALYSIS OF LINSKER-TYPE HEBBIAN LEARNING
Jianfeng Feng, H. Pan, V. P. Roychowdhury
0327 SAMPLE SIZE REQUIREMENTS FOR FEEDFORWARD NEURAL NETWORKS
Michael Turmnon, Terrence L. Fine

PART IV REINFORCEMENT LEARNING

0335 ASYMPTOTICS OF GRADIENT-BASED NEURAL NETWORK TRAINING ALGORITHMS
Sayandev Mukherjee, Terrence L. Fine
0345 REINFORCEMENT LEARNING ALGORITHM FOR PARTIALLY OBSERVABLE MARKOV DECISION PROBLEMS
Tommi Jaakkola, Satinder P. Singh, Michael I. Jordan
0353 ADVANTAGE UPDATING APPLIED TO A DIFFERENTIAL GAME
Mance E. Harmon, Leemnon C. Baird Ill, A. Harry Klopf
0361 REINFORCEMENT LEARNING WITH SOFT STATE AGGREGATION
Satinder Singh, Tommni Jaakkola, Michael I. Jordan
0369 GENERALIZATION IN REINFORCEMENT LEARNING: SAFELY APPROXIMATING THE VALUE FUNCTION
Justin Boyan, Andrew W. Moore
0377 INSTANCE-BASED STATE IDENTIFICATION FOR REINFORCEMENT LEARNING
R.Andrew McCallum
0385 FINDING STRUCTURE IN REINFORCEMENT LEARNING
Sebastian Thrun, Anton Schwartz
0393 REINFORCEMENT LEARNING METHODS FOR CONTINUOUS-TIME MARKOV DECISION PROBLEMS
Steven Bradtke, Michael O. Duff

PART V ALGORITHMS AND ARCHITECTURES

0401 AN ACTOR/CRITIC ALGORITHM THAT IS EQUIVALENT TO Q-LEARNING
Robert Crites, Andrew G. Barto
0411 FINANCIAL APPLICATIONS OF LEARNING FROM HINTS
Yaser S. Abu-Mostafa (Invited Paper)
0419 COMBINING ESTIMATORS USING NON-CONSTANT WEIGHTING FUNCTIONS
Volker Tresp, Michiaki Taniguchi
0427 AN INPUT OUTPUT HMM ARCHITECTURE
Yoshua Bengio, Paolo Frasconi
0435 BOLTZMANN CHAINS AND HIDDEN MARKOV MODELS
Lawrence K. Saul, Michael I. Jordan
0443 BAYESIAN QUERY CONSTRUCTION FOR NEURAL NETWORK MODELS
Gerhard Paass, Jorg Kindermann
0451 USING A SALIENCY MAP FOR ACTIVE SPATIAL SELECTIVE ATTENTION: IMPLEMENTATION & INITIAL RESULTS
Shumeet Baluja, Dean A. Pomerleau
0459 MULTIDIMENSIONAL SCALING AND DATA CLUSTERING
Thomas Hofmann, Joachim Buhmann
0467 A NON-LINEAR INFORMATION MAXIMISATION ALGORITHM THAT PERFORMS BLIND SEPARATION
Anthony J. Bell, Terrence J. Sejnowski
0475 PLASTICITY-MEDIATED COMPETITIVE LEARNING
Nicol Schraudolph, Terrence J. Sejnowski
0481 PHASE-SPACE LEARNING
Fu-Sheng Tsung, Garrison W. Cottrell
0489 LEARNING LOCAL ERROR BARS FOR NONLINEAR REGRESSION
David A. Nix, Andreas S. Weigend
0497 DYNAMIC CELL STRUCTURES
Jorg Bruske, Gerald Sommer
0505 EXTRACTING RULES FROM ARTIFICIAL NEURAL NETWORKS WITH DISTRIBUTED REPRESENTATIONS
Sebastian Thrun
0513 CAPACITY AND INFORMATION EFFICIENCY OF A BRAIN-LIKE ASSOCIATIVE NET
Bruce Graham, David Wilishaw
0521 BOOSTING THE PERFORMANCE OF RBF NETWORKS WITH DYNAMIC DECAY ADJUSTMENT
Michael R. Berthold, Jay Diamond
0529 SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA
Sepp Hochreiter, Jurgen Schmidhuber
0537 LEARNING WITH PRODUCT UNITS
Laurens Leerink, C. Lee Giles, Bill G. Home, Marwan A. Jabri
0545 DETERMINISTIC ANNEALING VARIANT OF THE EM ALGORITHM
Naonori Ueda, Ryohei Nakano
0553 DIFFUSION OF CREDIT IN MARKOVIAN MODELS
Yoshua Bengio, Paolo Frasconi
0561 FACTORIAL LEARNING BY CLUSTERING FEATURES
Joshua B. Tenenbaum, Emmanuel V. Todorov
0569 INTERIOR POINT IMPLEMENTATIONS OF ALTERNATING MINIMIZATION TRAINING
Michael Lemmon, Peter T. Szymanski
0577 SARDNEI: A SELF-ORGANIZING FEATURE MAP FOR SEQUENCES
Daniel L. James, Risto Miikkulainen
0585 CONVERGENCE PROPERTIES OF THE K-MEANS ALGORITHMS
Leon Bottou, Yoshua Bengio
0593 ACTIVE LEARNING FOR FUNCTION APPROXIMATION
Kah Kay Sung, Partha Niyogi
0601 ANALYSIS OF UNSTANDARDIZED CONTRIBUTIONS IN CROSS CONNECTED NETWORKS
Thomas R. Shultz, Yuriko Oshima-Takane, Yoshio Takane
0609 TEMPLATE-BASED ALGORITHMS FOR CONNECTIONIST RULE EXTRACTION
Jay A. Alexander, Michael C. Mozer
0617 FACFORIAL LEARNING AND THE EM ALGORITHM
Zoubin Ghahramani
0625 A GROWING NEURAL GAS NETWORK LEARNS TOPOLOGIES
Bernd Fritzke
0633 AN ALTERNATIVE MODEL FOR MIXTURES OF EXPERTS
Lei Xu, Michael I. Jordan, Geoffrey E. Hinton
0641 ESTIMATING CONDITIONAL PROBABILITY DENSITIES FOR PERIODIC VARIABLES
Chris M. Bishop, Claire Legleye
0649 EFFECTS OF NOISE ON CONVERGENCE AND GENERALIZATION IN RECURRENT NETWORKS
Kam Jim, Bill G. Home, C. Lee Giles
0657 LEARNING MANY RELATED TASKS AT THE SAME TIME WITH BACKPROPAGATION
Rich Caruana
0665 A RAPID GRAPH-BASED METHOD FOR ARBITRARY TRANSFORMATION-INVARIANT PATTERN CLASSIFICATION
Alessandro Sperduti, David G. Stork
0673 RECURRENT NETWORKS: SECOND ORDER PROPERTIES AND PRUNING
Morten With Pedersen, Lars Kai Hansen
0681 CLASSIFYING WITH GAUSSIAN MIXTURES AND CLUSTERS
Nanda Kambhatla, Todd K. Leen
0689 EFFICIENT METHODS FOR DEALING WITH MISSING DATA IN SUPERVISED LEARNING
Volker Tresp, Ralph Neuneier, Subutai Ahmad
0697 AN EXPERIMENTAL COMPARISON OF RECURRENT NEURAL NETWORKS
Bill G. Home, C. Lee Giles
0705 ACTIVE LEARNING WITH STATISTICAL MODELS
David Cohn, Zoubin Ghahramani, Michael I. Jordon
0713 LEARNING WITH PREKNOWLEDGE: CLUSTERING WITH POINT AND GRAPH MATCHING DISTANCE MEASURES
Steven Gold, Anand Rangarajan, Eric Mjolsness

PART VI IMPLEMENTATIONS

0721 DIRECT MULTI-STEP TIME SERIES PREDICTION USING TD(λ)
Peter Kazlas, Andreas S. Weigend
0731 ICEG MORPHOLOGY CLASSIFICATION USING AN ANALOGUE VLSI NEURAL NETWORK
Richard Coggins, Marwan Jabri, Barry Flower, Stephen Pickard
0739 A SILICON AXON
Bradley A. Minch, Paul Hasler, Chris Diorio, Carver Mead
0747 THE NI1000: HIGH SPEED PARALLEL VLSI FOR IMPLEMENTING MULTILAYER PERCEPTRONS
Michael P. Perrone, Leon N. Cooper
0755 A REAL TIME CLUSTERING CMOS NEURAL ENGINE
T. Serrano-Gotarredona, B. Linares-Barranco, J. L. Huertas
0763 PULSESTREAM SYNAPSES WITH NON-VOLATILE ANALOGUE AMORPHOUS-SILICON MEMORIES
A.J. Holmes, A. F. Murray, S. Churcher, J. Hajto, M. J. Rose
0771 A LAGRANGIAN FORMULATION FOR OPTICAL BACKPROPAGATION TRAINING IN KERR-TYPE OPTICAL NETWORKS
James E. Steck, Steven R. Skinner, Alvaro A. Cruz-Cabrara, Elizabeth C. Behrman
0779 A CHARGE-BASED CMOS PARALLEL ANALOG VECTOR QUANTIZER
Gert Cauwenberghs, Volnei Pedroni
0787 AN AUDITORY LOCALIZATION AND COORDINATE TRANSFORM CHIP
Timothy Horiuchi
0795 AN ANALOG NEURAL NETWORK INSPIRED BY FRACTAL BLOCK CODING
Fernando Pineda, Andreas G. Andreou
0803 A STUDY OF PARALLEL PERTURBATIVE GRADIENT DESCENT
D. Lippe, J. Aispector
0811 IMPLEMENTATION OF NEURAL HARDWARE WITH THE NEURAL VLSI OF URAN IN APPLICATIONS WITH REDUCED REPRESENTATIONS
Il-Song Han, Hwang-Soo Lee, Ki-Chul Kim

PART VII SPEECH AND SIGNAL PROCESSING

0817 SINGLE TRANSISTOR LEARNING SYNAPSES
Paul Hasler, Chris Diorio, Bradley A. Minch, Carver Mead
0827 PATTERN PLAYBACK IN THE '90S
Malcolm Slaney (Invited Paper)
0835 NON-LINEAR PREDICTION OF ACOUSTIC VECTORS USING HIERARCHICAL MIXTURES OF EXPERTS
S.R. Waterhouse, A. J. Robinson
0843 GLOVE-TALKII: MAPPING HAND GESTURES TO SPEECH USING NEURAL NETWORKS
S. Sidney Fels, Geoffrey Hinton
0851 VISUAL SPEECH RECOGNITION WITH STOCHASTIC NETWORKS
Javier Movellan
0859 HIERARCHICAL MIXTURES OF EXPERTS METHODOLOGY APPLIED TO CONTINUOUS SPEECH RECOGNITION
Ying Zhao, Richard Schwartz, Jason Sroka, John Makhoul
0867 CONNECTIONIST SPEAKER NORMALIZATION WITH GENERALIZED RESOURCE ALLOCATING NETWORKS
Cesare Furlanello, Diego Giuliani, Edmondo Trentin
0875 USING VOICE TRANSFORMATIONS TO CREATE ADDITIONAL TRAINING TALKERS FOR WORD SPOTTING
Eric I. Chang, Richard P. Lippmann

PART VIII VISUAL PROCESSING

0883 A COMPARISON OF DISCRETE-TIME OPERATOR MODELS FOR NONLINEAR SYSTEM IDENTIFICATION
Andrew D. Back, Ah Chung Tsoi
0893 LEARNING SACCADIC EYE MOVEMENTS USING MULTISCALE SPATIAL FILTERS
Rajesh P. N. Rao, Dana H Ballard
0901 A CONVOLUTIONAL NEURAL NETWORK HAND TRACKER
Steven J. Nowlan, John C. Platt
0909 CORRELATION AND INTERPOLATION NETWORKS FOR REAL-TIME EXPRESSION ANALYSIS/SYNTHESIS
Trevor Darrell, Irfan Essa, Alex Pentland
0917 LEARNING DIRECTION IN GLOBAL MOTION: TWO CLASSES OF PSYCHOPHYSICALLY-MOTIVATED MODELS
V. Sundareswaran, Lucia M. Vaina
0925 ASSOCIATIVE DECORRELATION DYNAMICS: A THEORY OF SELF-ORGANIZATION AND OPTIMIZATION IN FEEDBACK NETWORKS
Dawei W. Dong
0933 JPMAX: LEARNING TO RECOGNIZE MOVING OBJECTS AS A MODEL-FITTING PROBLEM
Suzanna Becker
0941 PCA-PYRAMIDS FOR IMAGE COMPRESSION
Horst Bischof, Kurt Hornik
0949 UNSUPERVISED CLASSIFICATION OF 3D OBJECTS FROM 2D VIEWS
Satoshi Suzuki, Hiroshi Ando
0957 NEW ALGORITHMS FOR 2D AND 3D POINT MATCHING: POSE ESTIMATION AND CORRESPONDENCE
Steven Gold, Chien Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness
0965 USING A NEURAL NET TO INSTANTIATE A DEFORMABLE MODEL
Christopher K. I. Williams, Michael D. Revow, Geoffrey E. Hinton
0973 NONLINEAR IMAGE INTERPOLATION USING MANIFOLD LEARNING
Christoph Bregler, Stephen M. Omohundro

PART IX APPLICATIONS

0981 COARSE-TO-FINE IMAGE SEARCH USING NEURAL NETWORKS
Clay D. Spence, John C. Pearson, Jim Bergen
0991 TRANSFORMATION INVARIANT AUTOASSOCIATION WITH APPLICATION TO HANDWRITTEN CHARACTER RECOGNITION
Holger Schwenk, Maurice Milgram
0999 LEARNING PROTOTYPE MODELS FOR TANGENT DISTANCE
Trevor Hastie, Patrice Simard, Eduard Sackinger
1007 REAL-TIME CONTROL OF TOKAMAK PLASMA USING NEURAL NETWORKS
Chris M. Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman, Cohn G. Windsor
1015 RECOGNIZING HANDWRITTEN DIGITS USING MIXTURES OF LINEAR MODELS
Geoffrey E. Hinton, Michael Revow, Peter Dayan
1023 OPTIMAL MOVEMENT PRIMITIVES
Terence Sanger
1031 AN INTEGRATED ARCHITECTURE OF ADAPTIVE NEURAL NETWORK CONTROL FOR DYNAMIC SYSTEMS
Liu Ke, Robert L. Tokar, Brian D. McVey
1039 A CONNECTIONIST TECHNIQUE FOR ACCELERATED TEXTUAL INPUT: LETTING A NETWORK DO THE TYPING
Dean Pomerleau
1047 PREDICTIVE CODING WITH NEURAL NETS: APPLICATION TO TEXT COMPRESSION
Jurgen Schmidhuber, Stefan Heil
1055 PREDICTING THE RISK OF COMPLICATIONS IN CORONARY ARTERY BYPASS OPERATIONS USING NEURAL NETWORKS
Richard P. Lippmann, Linda Kukolich, David Shahian
1063 COMPARING THE PREDICTION ACCURACY OF ARTIFICIAL NEURAL NETWORKS AND OTHER STATISTICAL MODELS FOR BREAST CANCER SURVIVAL
Harry B. Burke, David B. Rosen, Philip H. Goodman
1069 LEARNING TO PLAY THE GAME OF CHESS
Sebastian Thrun
1077 A MIXTURE MODEL SYSTEM FOR MEDICAL AND MACHINE DIAGNOSIS
Magnus Stensmo, Terrence J. Sejnowski
1085 INFERRING GROUND TRUTH FROM SUBJECTIVE LABELLING OF VENUS IMAGES
Padhraic Smyth, Usama Fayyad, Michael Burl, Pietro Perona, Pierre Baldi
1093 THE USE OF DYNAMIC WRITING INFORMATION IN A CONNECTIONIST ON-LINE CURSIVE HANDWRITING RECOGNITION SYSTEM
Stefan Manke, Michael Finke, Alex Waibel
1101 ADAPTIVE ELASTIC INPUT FIELD FOR RECOGNITION IMPROVEMENT
Minoru Asogawa
1109 PAIRWISE NEURAL NETWORK CLASSIFIERS WITH PROBABILISTIC OUTPUTS
David Price, Stefan Knerr, Leon Personnaz, Gerard Dreyfus
1117 INTERFERENCE IN LEARNING INTERNAL MODELS OF INVERSE DYNAMICS IN HUMANS
Reza Shadmehr, Tom Brashers-Krug, Ferdinando Mussa-Ivaldi
1125 COMPUTATIONAL STRUCTURE OF COORDINATE TRANSFORMATIONS: A GENERALIZATION STUDY
Zoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan
1133 Author Index
1137 Keyword Index