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