Journal: Neural Computation

Volume 9, Issue 8

1627 -- 1660Song Chun Zhu, Ying Nian Wu, David Mumford. Minimax Entropy Principle and Its Application to Texture Modeling
1661 -- 1665Ralph Linsker. A Local Learning Rule That Enables Information Maximization for Arbitrary Input Distributions
1667 -- 1676Yizong Cheng. Convergence and Ordering of Kohonen s Batch Map
1677 -- 1690David Horn, Irit Opher. Solitary Waves of Integrate-and-Fire Neural Fields
1691 -- 1709Athanasios Kehagias, Vassilios Petridis. Time-Series Segmentation Using Predictive Modular Neural Networks
1711 -- 1733Yoram Singer. Adaptive Mixtures of Probabilistic Transducers
1735 -- 1780Sepp Hochreiter, Jürgen Schmidhuber. Long Short-Term Memory
1781 -- 1803Radford M. Neal, Peter Dayan. Factor Analysis Using Delta-Rule Wake-Sleep Learning
1805 -- 1842Marcelo Blatt, Shai Wiseman, Eytan Domany. Data Clustering Using a Model Granular Magnet

Volume 9, Issue 7

1403 -- 1419Fernando J. Pineda. Mean-Field Theory For Batched-TD(l)
1421 -- 1456Jean-Pierre Nadal, Néstor Parga. Redundancy Reduction and Independent Component Analysis: Conditions on Cumulants and Adaptive Approaches
1457 -- 1482Howard Hua Yang, Shun-ichi Amari. Adaptive On-line Learning Algorithms for Blind Separation-Maximization Entropy and Minimum Mutual Information
1483 -- 1492Aapo Hyvärinen, Erkki Oja. A Fast Fixed-Point Algorithm for Independent Component Analysis
1493 -- 1516Nanda Kambhatla, Todd K. Leen. Dimension Reduction by Local Principal Component Analysis
1517 -- 1543James R. Williamson. A Constructive, Incremental-learning Network for Mixture Modeling and Classification
1545 -- 1588Yali Amit, Donald Geman. Shape Quantization And Recognition With Randomized Trees
1589 -- 1599Martin Lagerholm, Carsten Peterson, Bo Söderberg. Airline Crew Scheduling With Potts Neurons
1601 -- 1622Jason A. S. Freeman, David Saad. Online Learning in Radial Basis Function Networks

Volume 9, Issue 6

1179 -- 1209Michael L. Hines, Nicholas T. Carnevale. The NEURON Simulation Environment
1211 -- 1243David Wolpert. On Bias Plus Variance
1245 -- 1249Cyril Goutte. Note on Free Lunches and Cross-validation
1251 -- 1264Roger D. Traub, Miles A. Whittington, John G. R. Jefferys. Gamma Oscillation Model Predicts Intensity Coding by Phase Rather Than Frequency
1265 -- 1275Purvis Bedenbaugh, George L. Gerstein. Multiunit Normalized Cross Correlation Differs From The Average Single Unit Normalized Correlation
1277 -- 1289Thad A. Polk, Martha J. Farah. A Simple Common Contexts Explanation For The Development Of Abstract Letter Identities
1291 -- 1303Geoffrey J. Goodhill, Terrence J. Sejnowski. A Unifying Objective Function for Topographic Mappings
1305 -- 1320Juan K. Lin, David G. Grier, Jack D. Cowan. Faithful Representation Of Separable Input Distributions
1321 -- 1344Teuvo Kohonen, Samuel Kaski, Harri Lappalainen. Self-organized Formation of Various Invariant-feature Filters in the Adaptive-subspace SOM
1345 -- 1355Sung-Bae Cho. Self-Organizing Map with Dynamical Node Splitting: Application to Handwritten Digit Recognition
1357 -- 1380Ryotaro Kamimura. Information Controller to Maximize and Minimize Information
1381 -- 1402Kwabena Agyepong, Ravi Kothari. Controlling Hidden Layer Capacity Through Lateral Connections

Volume 9, Issue 5

937 -- 958Jeong-Woo Lee, Jun-Ho Oh. Hybrid Learning of Mapping and its Jacobian in Multilayer Neural Network
959 -- 970Christian Piepenbrock, Helge Ritter, Klaus Obermayer. The Joint Development of Orientation and Ocular Dominance: Role of Constraints
971 -- 983Todd W. Troyer, Kenneth D. Miller. Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cel
985 -- 1000Guido Bugmann, Chris Christodoulou, John G. Taylor. Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset
1001 -- 1013Gary R. Holt, Christof Koch. Shunting Inhibition Does Not Have a Divisive Effect on Firing Rates
1015 -- 1045Werner M. Kistler, Wulfram Gerstner, J. Leo van Hemmen. Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model
1047 -- 1069Michael E. Rudd, Lawrence G. Brown. Noise Adaptation in Integrate -and -Fire Neurons
1071 -- 1092Daniel J. Amit, Stefano Fusi, Volodya Yakovlev. Paradigmatic Working Memory (Attractor) Cell in IT Cortex
1093 -- 1108Yves Grandvalet, Stéphane Canu, Stéphane Boucheron. Noise Injection: Theoretical Prospects
1109 -- 1126Zhiyu Tian, Ting-Ting Y. Lin, Shiyuan Yang, Shibai Tong. The Faulty Behavior of Feedforward Neural Networks with Hard-limiting Activation Fuction
1127 -- 1142Alan D. Blair, Jordan B. Pollack. Analysis of Dynamical Recognizers
1143 -- 1161Michael S. Kearns. A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-test Split
1163 -- 1178Michiaki Taniguchi, Volker Tresp. Averaging Regularized Estimators

Volume 9, Issue 4

701 -- 721Shimon Edelman, Sharon Duvdevani-Bar. Similarity, Connectionism, and the Problem of Representation in Vision
721 -- 763Rajesh P. N. Rao, Dana H. Ballard. Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex
765 -- 769Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson. Correction to Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes
771 -- 776Yossi Erlich, Dan Chazan, Scott Petrack, Avi Levi. Lower Bound on VC-Dimension by Local Shattering
777 -- 804Bartlett W. Mel. SEEMORE: Combining Color, Shape and Texture Histogramming in a Neurally-Inspired Approach to Visual Object Recognition
805 -- 836DeLiang L. Wang, David Terman. Image Segmentation Based on Oscillatory Correlation
837 -- 858Lance R. Williams, David W. Jacobs. Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience
859 -- 881Lance R. Williams, David W. Jacobs. Local Parallel Computation of Stochastic Completion Fields
883 -- 894Guy Wallis, Roland Baddeley. Optimal, Unsupervised Learning in Invariant Object Recognition
895 -- 910Jim Kay, William A. Phillips. Activation Functions, Computational Goals and Learning Rules for Local Processors with Contextual Guidance
911 -- 936David J. Willshaw, John Hallam, Sarah Gingell, Soo Leng Lau. Marr s Theory of the Neocortex as a Self-Organizing Neural Network

Volume 9, Issue 3

479 -- 502Harpreet S. Kwatra, Francis J. Doyle III, Ilya A. Rybak, James S. Schwaber. A Neuro-Mimetic Dynamic Scheduling Algorithm for Control: Analysis and Applications
503 -- 514Alain Destexhe. Conductance-Based Integrate and Fire Models
515 -- 523Richard Bertram. A Simple Model of Transmitter Release and Facilitation
525 -- 531Silvio P. Sabatini, Luigi Raffo, Giacomo M. Bisio. Functional Periodic Intracortical Couplings Induced by Structured Lateral Inhibition in a Linear Cortical Network
533 -- 553Pierre-Yves Burgi, Norberto M. Grzywacz. Possible Roles of Spontaneous Waves and Dendritic Growth for Retinal Receptive Field Development
555 -- 575Klaus Obermayer, Gary G. Blasdel. Singularities in Primate Orientation Maps
577 -- 594Joseph Sirosh, Risto Miikkulainen. Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex
595 -- 606Marc M. Van Hulle. The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals
607 -- 621Siming Lin, Jennie Si, A. B. Schwartz. Self-Organization of Firing Activities in Monkey s Motor Cortex: Trajectory Computation from Spike Signals
623 -- 635Akio Utsugi. Hyperparameter Selection for Self-Organizing Maps
637 -- 648Ramesh R. Sarukkai. Supervised Networks Which Self-Organize Class Outputs
649 -- 665David Golomb, John A. Hertz, Stefano Panzeri, Barry J. Richmond, Alessandro Treves. How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?
667 -- 681Ali A. Minai. Covariance Learning of Correlated Patterns in Competitive Networks
683 -- 699Sageev Oore, Geoffrey E. Hinton, Gregory Dudek. A Mobile Robot that Learns its Place

Volume 9, Issue 2

227 -- 269Padhraic Smyth, David Heckerman, Michael I. Jordan. Probabilistic Independence Networks for Hidden Markov Probability Models
271 -- 278Peter Dayan, Geoffrey E. Hinton. Using Expectation-Maximization for Reinforcement Learning
279 -- 304Wolfgang Maass. Fast Sigmoidal Networks via Spiking Neurons
305 -- 318Doron Tal, Eric L. Schwartz. Computing with the Leaky Integrate-and-Fire Neuron: Logarithmic Computation and Multiplication
319 -- 336Khashayar Pakdaman, C. P. Malta, C. Grotta-Ragazzo, Jean-François Vibert. Effect of Delay on the Boundary of the Basin of Attraction in a Self-Excited Single Graded-Response Neuron
337 -- 348Eduardo D. Sontag. Shattering All Sets of k Points in General Position Requires (k - 1)/2 Parameters
349 -- 368Vijay Balasubramanian. Statistical Inference, Occam s Razor, and Statistical Mechanics on the Space of Probability Distributions
369 -- 383Robert A. Jacobs. Bias/Variance Analyses of Mixtures-of-Experts Architectures
385 -- 401Andrew Chi-Sing Leung, Lai-Wan Chan. The Behavior of Forgetting Learning in Bidrectional Associative Memory
403 -- 417Martin Eldracher, Alexander Staller, René Pompl. Adaptive Encoding Strongly Improves Function Approximation with CMAC
419 -- 440John G. Elias, David P. M. Northmore, Wayne Westerman. An Analog Memory Circuit for Spiking Silicon Neurons
441 -- 460Sean B. Holden, Mahesan Niranjan. Average-Case Learning Curves for Radial Basis Function Networks
461 -- 478Lu Yingwei, Narasimhan Sundararajan, Paramasivan Saratchandran. A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks

Volume 9, Issue 1

1 -- 42Sepp Hochreiter, Jürgen Schmidhuber. Flat Minima
43 -- 49Jianfeng Feng. Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics
51 -- 76Gary Strangman. Detecting Synchronous Cell Assemblies with Limited Data and Overlapping Assemblies
77 -- 97Tomoki Fukai, Shigeru Tanaka. A Simple Neural Network Exhibiting Selective Activation of Neuronal Ensemblies: From Winner-Take-All to Winners-Share-All
99 -- 122Pal Rujan. Playing Billiards in Version Space
123 -- 141Kazumi Saito, Ryohei Nakano. Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks
143 -- 159Hrushikesh Narhar Mhaskar, Nahmwoo Hahm. Neural Networks for Functional Approximation and System Identification
161 -- 183Lisa M. Belue, Kenneth W. Bauer Jr., Dennis W. Ruck. Selecting Optimal Experiments for Multiple Output Multilayer Perceptrons
185 -- 204Rudy Setiono. A Penalty-Function Approach for Pruning Feedforward Neural Networks
205 -- 225Rudy Setiono. Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting